Entity Identity Creation and Management SEO Case Study - How to Change Google's Perception?

Key Takeaways

so I won't tell nothing else this means actually a fee for being here to reset and if you click below to do here there is an article here and Google chooses it as the main context and there are images of deer Mrs emek here and Google chooses these faces and then there are many many stupid other things but still since the May most of the content is actually about her a special attacks Google assumes that this is a Plus this is actually a plus 18 content and also about her and this is what I am dealing with I'm just wanted to show that Google actually is not that clever to see these things and most of these things are actually not in the main content their advertisements that's why Google doesn't give them a rate this area is also advertisement so you can use actually this example as an egg as a point of view how Google writes different areas to understand the main context and video is not working by the way properly at least and when it works sometimes you will see and hear them this is a Mac and sometimes the video will do that and this section again this is actually not directly entire main content I can tell that to you it is in a different in a different div in a direct way and you see that the main query appears here too and when we click actually these things we go into a stupid advertisement I wanted to show these things I even want to take this video in a good manner since you already see it most people I won't be able to publish it anyway so that's why I'm not even opening the light here so see you later hello my name is and I am the owner and founder of holistic SEO and digital in this video I will explain you what a Google search engine bug is and at the same time I will show you how a blackhead SEO can actually exploit it so beyond Google every search engine has bugs and usually Google says that they have or let's say Google says we have millions of baby algorithms and I usually say they actually have billions of bugs and some of them are not even babies and during your daily search it might be a little hard noticing these bugs but if you are a search on search engine optimization expert is actually not that hard after your point even a kind of from a simple type of Google auto suggestion or a kind of real search term or something like that you can actually understand there is a bug on the search engine side time to time or from time to time I actually explain this type of bugs or send this type of bugs to the googlers as well and they also tell that they will check and usually they check but they fix them like six or seven weeks later for example I didn't tell to protect the search engine and also the users of the search engine a little but Google indexing API is really really debatable and probably until I published this content piece it will be fixed because I won't publish this video until this project ends in a successful way if you watch this video it means that this project ended in a successful way and I am writing the case study or already written or maybe even published the project is actually about entity oriented search and ended identity management but it's something else today we will talk about something entirely different here so when I search the same thing from actually Turkish or turkey location we don't see that area here as you see there is only Facebook there is nothing else but if I search it from United States and thanks to my job I always search from United States with English language here we see Facebook plus also these masrobi that FR once one of the search engine optimization experts with more than 20 years of experience he told me that do you think that Google doesn't check the authenticity of the structured data do you think that they will believe whatever you tell in the structured data I told him that yes they will believe it or even if they don't believe it they're able to use it because understanding these errors here it will take tremendous amount of time having a search engine is really really big cost because you can't always fix bugs you can't always try to improve any kind of search algorithm and imagine imagine the algorithm count per every search engine engineer and coder it is tremendous amount of work so here these website says that they actually have 783 reviews with 5 out of five stars just for this business these business also belongs to the I won't tell the name for protection of the project but let's say you see it on the screen so basically this website is fake and and a number that you hear you then and the number that you see here it actually comes from the it directly comes from the actually the structured data so this is what a search engine bug is and I will tell you one more thing this website has been launched like just two days ago so imagine that you are actually launching a website two days ago and the search engine directly assumes that okay this website should be automative so that it means I should actually publish their reviews like their authentic review so that if someone tries to have a kind of dental operation or any kind of medical operation they should check the reviews on mass Ruby that fr and then in fact it is not just a message Ruby FR if you check if you look at the left bottom side you will see that it is actually even at random lettered gibberish sub-domain so basically the Google tells that you should actually we should actually link this website even if they are just launched two days ago so I know some of you think that is an expired domain no it is brand new domain and they use FR because they need a little country level top level domains for stripping themselves from some algorithms at the same time that's why you don't see it in the Turkish section despite entire subdomain is Turkish so that's why I'm feeling that understanding a search engine is not that easy sometimes I train seos with even 15 years of experience still they get they have some really really hard time for understanding all these things so let me explain a little because if I write an article about this thing in the future probably it will be like 200 000 words because this is a really interesting case first of all this situation is a little about multilingual search because the domain is for a control top level domain but at the same time content is actually for Turkish but it is also a sub domain and it doesn't end the hair unfortunately I will show it later but basically even if the content is in Turkish we don't see it in the Turkish query or turkey or turkey location we see it's only for the multilingual search like this even if this word is Turkish we see that there are some character embeddings here that appear only in Turkish we have this name which is a special name directly here and then we see this website this is the site for just multilingual section but why do we see this website here why this one for example if you launch a website with this amount of reviews which will Google show it too maybe but most probably no because the quick thing here is that exceeding the thresholds they say 800 sorry 783 reviews first of all it is too much because Google has some options there an alternative source with extensive amount of historical data and Authority or a new source that just publishes 300 pages in one day with this amount of reviews unique reviews and all of them are five stars and also the source is internationally and also these array queries small business so in the candidate list this is the secondly second that it is the most possible second candidate because it has tremendous amount of reviews once you exceed the threshold if they don't have Checker algorithms or even if they have it might be triggered like six months later and until then the secret can create another website so this is also what we call programmatic guessio besides the blackhead and this is basically what a search engine bug is a smart search engine engineer thinks that no one will do it and then a smart SEO actually does it and at the same time a search engine bug means that a search engine doesn't function as it should be and at the same time they lose the relevance or they also lose the information or they organize the information in a wrong way or serve the information in a wrong way if you think like that the situation here actually might not be bug because we hear we have reviews here we have the Stars so what's wrong with it but it is a bug so let's go on that area so here I am saying that give me any kind of results from this URL and it includes this subdomain here we have it says I won't tell the name this means age in Turkish if you go to the below at some point actually or if you go in this area below you will actually see this type of relative search terms and the actual age is one of these and it is actually one of the most important prominent attributes for this specific entity and it also appears here too if you go through this and the identity profile here it's directly on on on the serp and at the same time you if you don't know Turkish of course you won't understand that but there are some repeated questions at different places with different endings and other things but there are also other they stop it so with that said let me just come here again we have this result here it says that we have 783 reviews so probably also until until the Google fixes it again I won't publish it probably because I don't want to harm and here they say that we have published because it is relevant to this term let's go to the more about this page or more about this source we see that about this topic which is normal for the source we have nothing because it's completely new and let's go to the cache version the cache version says that ILS which means a soldier ship entry exam 2019 fee so let me just translate it for you application fee in 2019 just for ILS exam but here we have age of Labor which is irrelevant then we have some other things here we have a couple of content about just the specific person but then we have actually nothing for that person we have entirely different irrelevant content here completely irrelevant everything actually different but sometimes we see her image here too so I will continue and I will show you some other sections or other things here by the way as you see there is no a 783 reviews here so let's go back I will show you something else I will click here let's see what will happen so they are actually using Dynamic serving they show a different content to the Google they show user and other content and probably also if it is not Dynamic rendering I didn't check it that much because I didn't care maybe I can check it later and I can put a kind of subtitle there but basically this is a kind of scam a kind of fraudulent content and they try to actually take your information and they try to actually scam or steal your money they also block the back section there and if we try to go back they also tell that you want another thing you've won the iPhone I 13 problem which is stupid so let's let's try to let's try to take this website let me just okay I clicked the wrong way anyway I will close it I will close this one too so you see here Google actually indexed already 100 2000 web pages so when I publish my semantic Sr course it won't be just about semantics it will actually teach how to understand the search engines in and also in the course there will be unique 20 nearly 200 different SEO case studies and the total word count for this nearly 20 is your case series is actually already more than 70. thousand and one of them is actually focusing on the quality thresholds so the quality thresholds the relevant thresholds indexing thresholds or prominence thresholds there are many thresholds for algorithms but why do Google actually indexes these things one of the reasons is that actually probably they just have checked everything according to the Google bot they rendered everything here but due to the dynamic rendering they didn't come to the website yet as a user and they didn't compare the difference and the reason is that they might use a sneaky redirection for JavaScript in a different way and that algorithm that detector algorithm it might not check it yet I will show you some other things from the cache for so that you can actually see because in their methodology they actually as you see also the typography change too because they use different types of sub domains for every section and probably for every topic for every related search term or related search term group they again use a different design because they secrete multiple stories and they unite all of them under different subdomains so it is also tricky because even if the search engine punishes The Source probably it will be for the sub domain reflecting the punishment from sub-domain to domain entity will be harder I love SEO and it's really the life is really weird like four years ago I was doing these things anyway I won't dive in there so basically let's go one of these things maybe this one no sorry I clicked the normal ring but I actually should use the other version so I won't choose a quick I won't choose uh a category link from there for example this might work again it says as you see again it says this one and here we have something else and here we have a different author with the kill alphabet and another thing here is that when you read these things you will realize that they're actually taking multiple content from multiple websites so maybe one day I can explain you the the settering similar to algorithms or content hashing or cryptography algorithms or other things and you will actually realize that Google uses always different things for understanding the duplicate content and sometimes they use links sometimes they use layout or other things but here they once they unite multiple content pieces and once all of them are actually not unique but when you actually take multiple content sources and then you blend them and when you also change some of the sections the order of the words when you remove some of the headings or change the typography and when you do it in a bulk way you are exceeding all of the thresholds it means that Google will think that initially this should be quality the content is usually not unique but in any way it is more comprehensive than others and also all of these sub domains are directing everything to the main website the main domain and at the same time even if not every sentence is unique every content in a way more comprehensive and sometimes they can also they also paraphrase things at the same time since they scrape all of the related Search terms and put them into the titles even if the term title doesn't appear in exactly the H1 or other things they can take all of them and in terms of the relative quality difference I will explain what it is in the course they're actually exceeding threshold alert and even if the search engine tries to understand whether this is actually a duplicate content or not it is too costly it doesn't work it and they will try to check these things maybe even six months later or seven months later and until then this website will be able to actually link many real money websites and they will actually increase the crawling rate and also the page rank of all these money websites too and at the same time you can't punish this money Map size because it is too risky they can also put other types of sources there they the complete their sources as well and these are the results just for now and we will watch The Source together and if it doesn't get a punishment problem I won't publish this video or I will try to help googlers for it or of course there is also one more condition and to be honest I see these type of situations like every day but since I try to be more active and more sharing on YouTube and all other areas from time to time I will take this type of casual videos and I will try to explain things as much as possible we explained what a search engine bug is we have shown a real world example and we also have shown a real world example how the actually seos can exploited and we also explained why a search engine can't direct understanding or check it what is the cause for it and at the same time what are some terms like for example the relative quality difference at the same time we we didn't talk about everything here there are other things that I will explain the course of course for example when you launch a website for the first time there are a couple of things that Google actually does as well for the first time websites they are actually exploiting that too I am thinking about publishing this video probably I will publish it if I publish it I hope you don't exploit it if you're trying to exploit it probably will also try to help Google too and use clean ways try to apply to my course and try to watch my other videos or use my case studies to understand the search engines but do not use this type of methods it doesn't work it I have done it for years until a point actually you will have more harm than use you will see it eventually anyway thanks for listening me and see you on the other videos hello my name is coronadober and I'm the owner and founder of all this Casio and digital in this video we will be talking about anti-identity creation and the management and most properties will be the last video that I will be publishing before the launch of the semantic SEO course if you see this video please be careful because most probably you will be seeing you will be seeing some of the testimonial videos then check just the newsletter that actually I have created and since the get review actually doesn't work anymore I am using pay here right now and you can use SEO newsletter that digital I will put in this link as well just subscribe to the new status so that you can get the link and we will be creating also a Facebook group and the Facebook group will be free and we will be creating a new community there especially for the future hybrid search engines that are mixed with the generative Ai and dialogue systems as well and when it comes to this specific SEO case study there are many videos that actually or videos or search results that I have taken as an example but I won't be able to publish or share all of them I will try to share only two of them and the rest won't be shared because they have a lot of adult content and in this case that involves many ugly things and many some let's say Noble situations as well because I call this a feminist as your case study we will see how a really successful business woman air how actually really uh successful and professional dentist actually has been called by called just ex-wife by the Google Google systems and I know that many people actually experience these type of things that are even onto SEO services to to make people look bad on the web So based on that I also need to mention here the Jason Bernard is founder of the Kylie Cube and I can tell that he is founder of the concepts Concepts like brand serp knowledge panel management and also he is founder of the Kali Coupe which is providing actually entity server optimization services and pay zero they actually change how you are served to the search engine and the users and they Define the brand serve as the business card or the new business card we will also talk about check gbt newbing and new Microsoft pink and also how the future of the search will be affected and we will also explain why actually semantic Azure will be the most anti-dominant search activity or search optimization activity because the new and small websites thanks to Quality content they have actually a higher chance to be ranked and right now for instance if you search for a product or a news or something probably you will see around 15 or 16 domains on the first page but thanks to the new search features a special thanks to the actually integrated chat systems to the search we will be able to actually see maybe more than even 30 or 35 different domains between sentences which means that there are more clickable areas and now entire search rankings or the search understanding will be changing but the thing that won't be changing will be actually we will always have a query and we will always have the results and most of the time the game will be played with the semantics and of course page ring also will increase its prominence too but without semantics page rank won't be able to save you so after this long introduction as always most probably as I say I will put that too video maybe you will be just work start to watch them I am not good at that much the video editing and it's not my target here but if you just watch them I hope I will be able to uh censor some of the adult sections at least or maybe I won't publish that much sections but imagine that if if I just explain some sections of the case study imagine that you are a successful mother business woman and also dentist and Google defines you as an ex-wife then I won't give a name but imagine that some people related to the ex-husbands or ex-lovers or something they start to publish pretty bad news about you just for slandering you and then some of these people let's assume they are also owners of some media companies and media Holdings and they are pretty strong and they have really high level of page rank websites then you don't have the budget they have nationwide news websites and they are slandering you and then you need to change how your brand serve which is the serp that appears when your name actually has is searched you need to optimize it for showing and demonstrating yourself as you are so with that state you will also need to change actually how Google perceives you how can you can actually prove that you are not an ex-wife you are a dentist you are a mother you're a businesswoman you are also an artist you are a showrunner and you're an outer and also journalist and also sculptor Yes actually the the specific case study subject has all these features so because of the traffic accident that I had and because of the earthquake in Turkey I can tell that I am actually sleepy and you can realize that I am talking slowly and I don't have that much energy to be honest and this might be the less efficient video maybe I don't know but I will try my best to make it efficient even if I can't you can always actually read the article it has already everything more than I can tell here and I believe video still will be able to explain many Concepts and many steps for you and I am trying to launch the course in February or in the early March so that we can stay on the schedule as well and so that you can also see that why the chair GPT like systems can't compete against the methodologies that actually I created and then you can start to use it for yourself and you can be the member of our community in Facebook and also in course group as well so the subject for the case study is actually Immaculate and as I say she is actually a dentist and we will we try to actually save her uh let's say digital identity on the web and there are some explanations in this SEO case study it is already too long by the way the article let me just check another book like 15 000 words and 120 Pages nearly I will be checking some of them and as I say even if I don't explain everything you can always read the article to give you the concepts like anti-identity creation and the management what do these things mean these are slightly different actually from the brand serve or knowledge panel management first of all entity creation and ancient identity creation they are not same things when we talk about entity creation it is actually creating a new web entity or new digital entity so that the search engine actually can realize and register that ends with certain types of attributes and definitions to the knowledge base when it comes to the insta identification it is actually adding a new definition and new identity to an existing entity if you are defined as an ex-wife but you are also a dentist we try to tell the Google that look do not focus on the ex-wife just focus on the dentist and tell that this person is actually a dentist not the ex-wife and in this case to be able to tell that first we will need to teach the search engine that you are a dentist then we will need to also tell the search engine that being a dentist is more important than being an ex-wife and you should be actually changing how you serve this entity or per save this entity and in this part we create a new identity then we start to manage this identity and we start to tell the search engine how to define you and the things that I will be explaining in this area it is not just for the person search imagine that you are a topical Authority for a topic it means you define What entity means what if you are able to control the definition of something you can actually directly control what people will think what people will believe in and what people will be searching for if you are able to be a topical Authority it means that you will be also be able to tell the search engine what should be related to what and which query actually should be even more important and it means that if we are able to control the concepts in the knowledge base it also means that your competitors will be have to imitate you and this is the end call for the topical Authority and this is the first time that actually I'm explaining this I call these things actually for as topical map expansion and topical map Distortion the expansion it is slightly explained in the previous case studies but imagine that you expand a topical map just for diluting the topical authority of a competitor you can also Define Concepts differently so that accuracy of your competitors also can be decreased so that's why topical Authority is actually an always on game and to be able to play that you will need to understand the semantics and the Linguistics and you won't think with the abstract Concepts if you have a lawyer past or if you are good at reading for let's say socialism sociology or psychology or other types of disciplines like philosophy then you can get these things in a really good way because you will be able to use the abstract Concepts to construct a kind of new Tulsa dream or taught hierarchy with different types of connected Concepts and it requires of course acetron logic so entity identity resolution is the process of recognizing an entity with its type attributes and values enter identity resolution is distinct from need and to recognition but it is a necessary step in the process entities are living things inside the knowledge basis with different attribute value payers Knowledge Graph is the visualized version of the knowledge base every knowledge base doesn't have a Knowledge Graph but every Knowledge Graph has a knowledge base so Google has a knowledge base too with different attribute value pairs which means that they are identity changes with other types of associations the optimization and control of identity shifts and changes in knowledge base bases based on document statistics is known as entity identity management sorry for this quill button and document statistics represent the entity values and their definitions with certain types of linguistic statistics such as statement declarations or dents that are retrieved from the content items the dense rate level it is a different topic and long topic maybe we can process it in the future for example a document that is mentioned 99 times for 46 different sources is a result as horse from the animal class a living thing if it is mentioned five times from two sources as a brand name it means that the entities first identity comes from the document statistics but it doesn't mean that the search queries are not important so let me explain this area let's assume there are two different document clusters and the word horse is mentioned many times in this specific document clusters in this case we will check actually how the specific concept has been used in these two different distinct clusters from two different contexts and if you realize that the specific concept has been used tremendously more in one of them and the definition is different in this case actually this will be the first meaning of that word based on the document statistics but what about the query statistics for instance let's say we have 1 million documents that mentions the word cat and in this case let's assume that in 99 percent of these documents the cat means a specific thing but let's assume in the search queries we have let's say 1 million search demand per month and the search query is 99 percent of the time let's say the word cat means something else so in this case there is a mismatch most of the documents use the word with a meaning let's say context one but most of the queries use the same word with the context too usually in information retrieval systems this doesn't happen that much because and we have something actually I call as illusion of choice I will explain illusion of choice later but let me say it in this way usually when you search for the best hosting service you always see the same Brands right not because they are best because they are the best paying hostings for affiliate marketers and that's why affiliate marketers continuously tell that these are the best ones and the search engine sees that okay these brands are mentioned all the time they are actually rated high with high ranking size Stars so they should be the best and the search engines also start to rank them so this is what the illusion of choice the affiliate marketers take the commission they rank the products higher than actually search agencies that the product is quality then they start to rank the product in their products or systems but when it comes to the actually this specific area it is also something that actually I call as a loop of information retrieval and also the consolidation in other words imagine that as a researcher you read something and based on the things that you read you search something else if you are able to control the documents that you read it means actually we can determine what you will be searching for in this case if I use the word cat with the context one most probably the cat will be registered to your brain with the meaning one or the context one and then you will be using that word inside the queries too so my example for this 99 99 percent of the documents mentioned the word cat with the context 1 and 99 percent of the queries mentioned the word cat with the context too so it doesn't happen that much but even if it happens most of the time due to the competition new candidate documents will actually start to be coming this is also relevant to the broad core algorithm updates because inside the broad core algorithm updates the thing that is happening is basically search engine changes the the vectoral distance between different types of words based on their statistics and the statistics come from documents if they realize that this word has been connected this word with co-occurrences or the proximity Hardware or word compositions or different types of circumstance based on the sliding window or attention window these concepts are coming from actually NLP in this case actually in this seconds optimization the search engine will realize that okay I shouldn't put the word drinking closer to the smoking it should be more closer to the eating so if I were to ask you what is the semantling distance between eating smoking and eating and drinking which which two of these or which pair will be actually more basically dense and based on that dense you will be getting other contacts for instance eating and drinking might actually have diet and drinking and smoking might actually have the addiction So based on these things we will be able to actually create many other types of contacts and the contextual hierarchies inside different contextual domains that's why I will suggest you to actually don't think that right now here we are talking about feminism or I don't know just how to how to create a brand serve or how to serve a certain type of person entity or how to create a knowledge panel for yourself we talk about actually a core of the semantics probably you already have watched The Entity value attribute players as your case study an exact matching domain is your case study this one here it is connected at exact matching domain as your case study it didn't focus on just the emds it also focused on semantics topical Maps topical authorities but also changing the meaning of the query and how to actually manipulate the search systems or Search Engine Systems to change the meaning of the query here we will be actually tweaking the search engines brain like touching it we will directly touch the memory of the search engine and you will realize that half the document and the query statistics will be affecting the identity of an entity so the the concept in this area I in in this section actually after these document statistic example we can also give the example of the query semantics for example a search query might have let's say 90 99 000 search requests per year and signal that spit that the specific entity is a brand while the same phrase might be used in nine other queries but they represent an animal with actually nearly half million search requests in this case even if a document statistics represent an animal for the same phrase the knowledge base gives more weight to the profile of the end profile of the entity but information retrieval systems most of the query search demand and document statistics share the same correlation because of the traditional SEO practices thus a search engine might aspect document and query statistics to align with each other even if they don't in this is your case study we examine how document and query statistics create a search memory in the search engine's entity resolution algorithms and how it affects the brand serve knowledge panel management the specific SEO case is titled feminos as your case study because Google refuse refers to refers to and mentions a famous and successful Turkish dentist as a ex-wife in knowledge panel despite the fact that she has many other attributes and these attributes are actually really really many and I also created a podcast with this person for eight hours I ask questions to person the person answered then I actually recorded everything then I turned everything into a podcast show which is already inside this Spotify so that's why when it comes to search engine optimization I don't think that these things are just actually for blue title links or affiliate links may try to be paid I'd consider SEO as a science and I approach it as with with an engineering mind but sometimes the methodologies and strategies that we choose it requires us to create actually creative content in other words artistic content like podcast and that's why I consider the SEO is a unification of Art and also the signs and that's why don't worry it won't be that furthermore some important factors caused fake news distribution without even triggering queries and these fake news stories that harmed entity's digital reputation came in variety of forms and from important alternative sources this section is important because thanks to the semantics you will see how we make Google to focus on our own news or on our own digital PR more than the competitor despite they actually use like websites with 15 millions of clicks amounts Etc and our sources are actually very much more weaker there and in this area the immacula is actually the topic here and you can check her search results and we will be seeing the comparisons of all these search results as well and I can't tell that actually she has a patient record with more than 30 000 people so she is like a machine and she performed and published research on child growth health habits such as tooth brushing or to educate mothers and fathers and also she worked in New York she she is educated in actual New York University and also she worked with many other famous doctors like Dennis Sterno or Norman cremen in Brookdale hospital and she came actually back to the turkey and she created actually two clinics in Turkey in two different famous hospitals as well then she also has found her own Clinic as well which is smile Institute so in this case imagine that you do all these things and you are mentioned as just ex-wife it is awful right it's also it also makes person angry it should be making person angry and to be honest when it comes to the humans I just see the human I don't see the gender or the colors so I also hate that type of things whether it is coming from Vogue culture whether it is coming from actually other side I even don't know the name of the other side to be honest I just want to see the humans as humans and I just want to focus on the skills and the talents like merits and when it comes to this area this system that Google uses it doesn't focus on the Merit it just focus on this I say statistics and in this part actually we will see why do why they have to do it in that way we will talk about the consensus Theory then we will talk about embracement Factor collaboration of web answers and nature of meaning and factoids after that we will actually move on to the content removal request with legal ways or with search systems in a controllable or semi-controllable ways then we will also talk about enter the homes topical Maps and we will be giving actually some other methods like how to blur the identity of an entity and usually I don't publish blackhead things that much to not harm it's real that but you can use some of these things for changing serp in a way that some people probably won't like but try to not use it if it's not just I believe anyway so also the entity here is actually a mother always on learner business woman Etc I told this already and there are many other things that actually I mentioned here like the chatgibility like systems or why they actually search engine prefers web sources when it comes to serving the celebrities with their own content because maybe it is here for instance Cameo Google Cameo was a system and in Google camera basically the celebrities they were posting videos directed to the serp and Google removed it because they tell they told it actually Google prefers third-party independent sources when it comes to serving celebrities or when it comes to giving results for the celebrities right now it is removed and before actually we were able to use knowledge panels and you are able to add new managers to the knowledge panel imagine that you have a knowledge panel on Google you register yourself you are also able to add users there and users post for you to your serp right now they can post but at least they can actually have some control for changing some other areas in knowledge panels knowledge panel management section actually comes from there and only probably two or three percent of seos know this or do this imagine that you have a knowledge panel you're also able to add users and users are able to actually change things there by doing some suggestions with justifications so that's why that part is also a little bit important and in this case to be able to understand this case today I will suggest you to check my YouTube channel you will see many other sections in this area as special check this one the predicates for the frame semantics it will be useful for you the case study in this part this one here it is for this website which is connected to here and I will be giving the website this time because already some people found it with some methodology the reason that I will be giving the website name is that as you see here I am using a censorship here the reason for that is that uh there is no investor so the project will be halted unfortunately and that 27 article was actually a kind of experiment and right now we will need to hold the project before doing that I want to actually show you the Articles how I structure that why it worked and how you can use it and I will be giving this especially directly inside my semantic SEO course and I believe you will be able to use all these things because we are taking clicks or stealing clicks from actually from WebMD helpline and others and right now that specific Source it is taking over 2 000 clicks just with the 227 article it's a Shopify voice Shopify store basically and in this case the first thing here that actually I want to tell you is that this seos are extremely powerful we decide who will click what and learn decide and believe which statement about whom the management of knowledge and the illusion of choice are two sides of the philosophy of knowledge and that's why I love SEO so in other words is something powerful and it requires actually too much thinking maybe that's why sometimes I like it like it more and try to use this power always for the good of the people it's the right choice I am coming from the casino industry I work in health tourism too in the past I can't tell that I I was always proud of my projects they were successful most of the time but also some people might get harm from these things I am doing this thing for the last eight years so try to use that power always for the good of the people and when it comes to these areas so the specific entities as you know we always have an entity type organization Place person or the song or the movie but there are also some other types of subtypes for instance a person is also human but human is actually an upper hierarchy there then we also have male or female based on the human section then we also have actual occupations like dentists and it is connected to actually person too in the end the attribute value models structured data section in my case study basically in my YouTube channel you will be able to see it I believe we explained how attributes are connected to each other and what are the derived attributes this is about that I will I won't repeat it but basically this is the first version of these entities Auto suggestions and here we will learn how to affect Auto suggestions basically so here we have the entity then we have x-wife and you see the name of the ex-husband then we see these things are Turkish but I will translate them for you this one says divorce lover marriage and ex-wife so as you see 80 or 70 percent of these things are about just personal life and ex-wife section is here also pay attention to the image and image source matters then I already repeated the the translated these things in this area and let me a little bit read this part the fake search demand has been successfully created basically I created actually fake queries you can also do it and I won't tell it for now but imagine that you are able to create 2000 websites by secreting content from some other language websites and you can distribute internal links just for fake internal links and you can actually make millions of pages are indexed if the website is new Google actually indexes these websites and then once these websites are indexed and once you actually have you have a really large amount of content whether paraphrase Etc Google will start to actually crawl these internal and external links and once they crawl while crawling they will be indexing and during that indexing time actually you can also play with the auto suggestions you can also play with some other areas right now actually any last for the last four years this is also used in Casino SEO a lot there is one more step that I won't tell it my point here is that we are able to create fake search demand or fake document statistics and based on that we can check the thresholds after how many search Behavior change what kinds of a percentage we need to actually change the auto suggestions after that we can be sure that this is the needed document count then we can start a real project let's say and since I'm doing these things for many years I don't use always these expensive Metals in terms of time or the server cost sometimes just use your instincts you will have that reflexes as well and when it comes to this area the biography attribute is a multi-layered contextual attribute because we can put age or business inside it thus the first Target inside the semantic network is specific biography attribute because it is connected to the more context Next Step change changes is connections to the other attributes with document statistics I call this reconstruction of the attributes for the entity basically we will be changing the attributes and we will Define them with new values fake search demand has been used for last five years to confuse Google and the Google Chrome developers team has a different team that is focused on assigned only to understand the fake traffic Google always favors popularity and as you see this popularity is also an official Yandex ranking score right now even average domain ranking or also the popularity signals are used and if you fake popularity that your system is game thus they are way more careful about these types of signals that's why these signals are used only for testing to see the thresholds for the search behaviors and query statistics and to document statistical change that needs to be affected entries identity I also suggest you to use the fake search demand or the traffic without being a true expert another way of making popularity is to expertise because we have website Publishers couldn't fake the traffic they faked the expertise with the page rank or AI content which brings us to the Google auto rank research to understand the real expertise I I mostly actually mention Google auto rank because thanks to new AI generators it will start to be more and more important if you check this area in the Google quality rate or great lines right now you actually see the human effort it is a signal for main content quality and if I return to the case study here to play with the document statistics properly the documents that signal different entity identities and context should have higher expertise in other words it is not just about how many document defined entity is about who defines it and with what kinds of transportiness and unique expertise so in this case if you define a dentist you will need dentists related or health related websites there you can't go for the magazine sources or the gossip websites so in in this case actually it won't be working in a really well or efficient way and you can see how the entity identity has been changed slowly due to the query statistical change right now we have a different other entity here as you see a dentist directly appears in this area also we have an address and we actually change the identity of the let's say entity and its Business Place slightly and here it says dentist now here we have the biography but also we have the question of who then other important thing here is that we have the word price because the business so who biography and who are connected and we have the dentist which is connected to the biography and who then after the dentist we also have the price which is connected to us then we have the interview social media account only and here too this is a form or the form title only this one is actually ex-wife right now and he's at the bottom so you can compare this to each other to realize it and you can try to understand the situation a little bit further I already explained this part in this area too semantic distance I explained semantic distance in actually lexical semantics and uh lexical semantics as your case study with 2009 different web sources you can check that video but let's say here there are two main methods measured the semantic distance between two concepts or real world things the first one is calculating the association and connection angles and their counts between two entities the second one is counting the length of the connections or connection length between two things with certain associations in other words if a is connected to B and B to C and C to Z it means that the semantic distance between relevance calculation changes how to query some how to query semantics and document statistics are added together to make up the semantic distance calculation in other words actually the probably the sentence here is Hell file completed but in this case actually a is connected to B B to C and C to Z it means that there is no connection or direct connection between Z and a but if you check the length from here it's one and from here it's 2 which means that the length of the connection between a and z are is just two the is the length of the connection another thing here is that actually Association count if you're able to find other paths that is coming from a to c with a range let's say the range here is just two two notes or three nodes or four notes search engine can assume that after five it is a different topic and they can completely change the server or sometimes they don't and this is what actually they do as I say in the broadcast they change this the the associations of the pads or they change the thresholds for Association count or the distance basically and we can talk about word to work or Globe to explain the semantic distance concept but let's do it in another video with python codes if possible and a document that ranks for 99 queries contains two entities that exist in these 99 search queries and seven different predicates and specific documents is similar to the other 17 documents that rank for 400 more diverse queries with 23 different predicates so I know that you are confused but let me explain the situation a little bit further in this area I'm trying to give you actually an example of a document and the query statistics to explain how you can actually create your map I use the concept of map because map is actually a military concept I mean when it comes to semantics you actually have a conceptual map there and you are trying to construct a new document clustered over that concept so that you can control the concepts and how they will be served but while you are constructing a new document Network for all these Concepts your competitor does the same so that's why it is a kind of actually conflict of two different clusters to define the same thing and that's why we need consensus if there is no consensus the search engine will be using actually information warnings there by telling that there is the results are changing a lot or other types of things it is about information quality we also explained it in some of the videos and the case studies you can check the channel and if I read it from here let's say if the semantic distance is 99 based on connection count and the length with a narrow Association diversity the document's page rank their vocabulary differences and query metrics can change it the holistic essay has to understand the search engine engineer the engineer's data and limitations to bending The Entity identities or topical map creation for a specific entity in this case here too we actually focus on predicates that's why I told you to check this video please predicates method and you can realize that once you use an entity with a different context the predicate changes if you change the predicate entire frame changes which means that context will be changing as well this is about actual seconds modeling seconds modeling means that we are modeling the word circumstance and if you are able to change the predicate most of the seconds will be changing is the most Central word in a sentence actually and let's say but mostly only one of these entities is labeled with these predicates as an agent in this case the relationships and the associations between these two entities will change and 23 different predicates will be reflected on the other entity for finding the certain relevance and similarities basically we have a document cluster and we have actually two entities and we have 23 different predicates we realize that only one of these predicates is only one of these entities the other one actually always does something else and it has always different predicates in this case actually we are able to construct a knowledge base for these specific entity in a better way as well and the volume words such as end or will be used together with these entities the semantic distance between these 20 predicate and the second entity will be affected by the associated other entities distance to the targeted entity as well I know it is a little bit complicated but if you actually create a paint or diagram for understanding this part it will be easier but let's say focus on predicate and what kinds of predicates appear together with what kinds of person entities if we have a footballer the predicates that can appear together a footballer won't be same a predicate that can appear with a mother in this case the nouns or the adjectives or the AdWords also will be changing and based on that even if we use a mother and also a footballer together inside the same document cluster the predicates will be closer to the respective entity and based on that we will actually understand what contexts are relevant directly to the what other entities I can tell and these associations and predicates are reflected directly in the Serb for example the predicates that associated with a dentist and the nouns that are related to the Dentistry are united with the price attribute and the auto suggestion the being and the having predicates are united with the biographical attributes such as age husband daughter occupation or success business artwork and more affecting the document statistics for nouns predicates and their priority inside the document's shape Google prioritization for the attribute priority for certain entities so attribute priority is important there too for instance when I tell you the predicates of being or having it means that you are on an age or you have a husband you have a daughter you have an occupation or you are a dentist which dentist is your occupation and your successes can is something that you can have we always have that same predicate and we actually have all these attributes which means that you will need to use loss of is a or R type of sentences here and there are many other things here that actually I need to read as you see this is just the seventh or the sixth page of the case study I will suggest you to read the next Parts because here we give examples from a president for instance if I read here the context sensitive person search invention of Google is a good example of the main entity resolution of the document and association between other entities most news articles start with a main entity and a specific predicate such as president assigned Senator X appeal why singer published Etc the second entry that is mentioned in the article is the first Association candidate while the first predicate signals the association angle let's say we haven't entered in a title the first other person entity that you mentioned in the article it will be the first actual Association candidate and based on the person's type or person's occupation or other things we will actually have Association type candidates and based on that actually the article context will be shared you will see the actual that patent as well and we use these type of things because we have a dentist as an ex-wife and there are many fake news and we try to focus on Dentistry so it shows you what kinds of predicates you should be focusing on and what kinds of entities shouldn't be appearing there I have two males that appear together with this entity these are Dr Norman Cronin and Denis thorno but I always mentioned the word doctor and they are dentists too but when it comes to other males they are not not inside the Articles as well you should have these red lines inside your articles too I believe this is one of the important parts there and it will be helping you to understand me in the course in a faster way and I won't dive into the theories there to be honest maybe if you demand I can but at the beginning and in this case this is also one of the things that seos do in a wrong way to affect the results on the third many issues try to imitate the first ranking page which is wrong rank on the search engines and as you should understand what search engine understands from the canonical query and change the queries meaning rather than changing its own document cluster before changing your document try to change the queries interpolation by the search engine by changing the document statistics as much as possible in a consistent and more clear way so what are the tires of painted identities basically when I ask a question like let's say I don't know who is Winston Churchill he was a soldier he is definitely a diplomat he is all he was also he was also a prime minister he is also a political leader thought leader a philosopher he doesn't that much books but I believe he's a political philosophy and he is a technocrat at the same time and if we go to India he is also a uh I don't know the English word for it but he is a kind of he's not that much different from Hitler for India to be honest and the the Great Indian famine it is a disaster unfortunately and I won't dive into the politics but basically when we ask who is who actually there are many attributes that we can tell right the political philosophy of political leader or a kinds of I don't know bad intentions there basically we can use many other things there and I I'm trying to be careful be careful for choosing the words but we can Define the same entity as multiple things by using different words so in this case which tire is more important for instance here when it comes to our topic who is a Mac cure can be answered in multiple other ways such as immacula is a mother a Mercury is a human a Mercury is a female a maker is a business woman maker is a business I have written this two times sorry let's say young businesswoman or older business woman it can be also told it also single business woman you can also tell Mercury is a dentist and Mercury is an artist a Mercury is an author and technically any kinds of noun that appears after the is a is actually an occupation and conditional State these nouns represent the types of the entity and they are attributes for different angles but which one of these angles pass defines the entity it depends on the search query owner in contrast the search engine must take the average of the users let me tell average of the users I might actually search Immaculate for his sorry for her Mothership but you might search her for actually ex-husband and someone else actually might search her for Dentistry but the thing here is that we have to focus on the average user to be able to focus on the average user actually we will need to Cluster the users and a search engine can cluster three things these are actual documents users and of course the queries the clustered users query context and the third entry results context should match each other or should be relevant to each other so in this case your document if you are outside of the average user's query context you won't rank directly that's why you actually need multi-contextual pages with a different actually with let's say multiple layers and with a proper flow of or contextual flow there and to be able to achieve that you will need to understand how to generate questions and create a proper actual heating vector and sometimes I also call it as the context vector 2. and in this case the first purpose of this specific SEO case that is to change the first Tire of the end the ident from ex-wife to dentist but to come to the dentist Tire as the primary identity there were some other pauses such as author journalist adding new context and new tires to an entity helps a search engine to re-evolate the specific entity even further you will see some actually different types of screenshots below because before making a Mac killer as a direct actually a dentist I can tell it first I made her digital identity a journalist sorry author then journalist then the dentist why I followed that path I will be explaining but first love let's focus on the collaboration of web answers I explained these concept slightly before but here I'd have explained it even a little bit better basal corroboration of web answers means that actually we try to understand the truth ranges or what attribute is on that specific topic for that specific question and what other values are acceptable and after what range they are not acceptable anymore because when it comes to the understanding of the truth we have to use a fuzzle logic which means more true or less wrong and in this case there is not a Boolean logic there like wrong or correct or true basically we try to understand on what possible it is correct if we ask if Alchemy formula for instance and let's say the alchema formula has a pH that is over seven and the sources that declared below 7 pH level are in Conflict the search engine agents have to qualify and evaluate the web sources for corroborating the answers and find a groundedness for the factual questions as you know soon we will be actually having Lambda language model directly as the BART on the serp and groundedness is one of the metrics that Lambda uses directly and groundedness means consensus that's why I'm telling you that when you read the research papers and the patterns you will never lose in the SEO whatever the search is being evolving into and you'll always have actually the information already and the groundedness consensus or nature of meaning these are connected to each other and with that said by the way since we mentioned it the new being is already here by the way when I when you search for this being directly actually gives you the text in this area and at the beginning of the video that's why I told you that actually right now thanks to your quality answers like this or answers that actually make the search engine write these areas you will be able to actually have more clickable areas directly that suggests you if person actually wants to focus on side plank and if you're actually article also mentions it in a proper way then you can directly actually and be clickable in this area too and there are other sources here in a clickable way as well and if we click through this specific one the search engine tells that the chat mode will be coming soon and probably it will be paid after a point But at the beginning I believe they will be spending money for taking audience from the Google and Google will be spending more money for keeping the audience on them and they've both actually will be spending lots of money without talking thinking about the profit and during that time actually they will try to improve their net language model while also taking content from content Publishers and they will eventually will need to give more get a couple links to the Publishers as well but basically if you are able to actually answer these things in a proper way based on the seven things you'll always be having actually more visibility in these areas too as search engine realizes that your answers are quality or the text that is coming from you is quality they will also be prioritizing you in this area and in this area as well and with that said if I come to this area again and in this case collaboration of web answer is actually creating a kinds of consensus for instance here it says hold this position for as long as you can aiming for at least 15 seconds is 15 seconds for this Source it might not be 15 seconds maybe 20 seconds is better as in the pH level so what will happen there if a source tells 20 and if you don't but if that source is more alternative than you then actually 20 will be let's say more closer to the consensus if you are closer to the consensus you are in the safe Zone but the consensus might change a lot based on the document statistics and that's why actually groundedness is a little bit tricky as I say for the loop of information retrieval and consolidation and also illusion of choice okay and in this area the specific example for collaboration of the web answers involving Alchemy formula and its pH level if there are 90 web sources that mention this specific alchemia formula and only 37 of them involved something related to the pH level searching has to filter the sources based on their attribute involvement the 37 different web sources for pH level might give 37 different pH level suggestions in these types of situations the search engines can use their own knowledge base that are fed with the data Commons Freebase or manual knowledge base improvements or they can create a truth range with various Corners that root ranges have maximum and minimum values or numeric value corroborations and if there is no consensus for a specific entity attribute value which is we explained already the search engine can boost rankings of a web source that states that pH level of X changes between Y and X according to EPV resources in Reverse hubs can outrank individual authorities as Andrea Broder who is the author of taxonom research mentioned basically if there is not any consensus it means that none of the authorities will be working then the source that actually gives all the possible possibilities with a proper organization and creation it will be outranking others and this is one of the tricks that we actually use in this area and you will be seeing especially inside the course and when I publish that too because I promised three more videos the fourth one can come after the course writing these cases takes too much time and I don't have that energy lately that much I am coming to 30 brothers and I will be marrying this year so I need to focus on something more else after the course and you can read this area by yourself when it comes to the embracement factor imagine that the search engine tells that horses actually have five legs or pH level of that Alchemy formula is 99 which is not possible or imagine that the number in this area imagine that the Bing tells you that hold like this for six hours it will be funny right and it is what we call embracement it's funny for us but when a search engine does it it's dangerous that's why I'm telling that seos are powerful so we if you want we are able to harm the people which which we shouldn't and in this case for instance when we search for these are these are also dangerous too for instance where was Barack Obama born might seem like an innocent question but if a document mentions the birth certificate it will be about the politician attribute and priority of the entity Tire of the person entity which is connected to highly political debate it means that if the document actually mentions the birth certificate it won't rank because you are actually giving kinds of Gossip information there and that's why you shouldn't include every attribute that's why you shouldn't include everything that you see also inside the queries or inside your competitor documents too that's why understanding search engine is always more important the question is Donald Trump an idiot might be seen as an offensive but search engine need to answer the questions and the answer to the question might put a search engine an official official into court defend their algorithms and this happened basically Donald Trump here tells that sorry for this image point where I'm not I don't I don't hold size in politics uh the image actually comes from a new source in this area I guess they have chosen this image on purpose I didn't like it either I'm not defending him but at the same time a normal image could be put in this part or in this area and here Donald Trump says that sandal pichai of Google was in the Oval Office working very hard to explain how much he liked me what a great job the administration is doing and that by the way I don't I'm not sure whether he tells the truth or not here but we know high tech they don't have that much standards usually and that Google was not involved with the Chinese military that they didn't and helped rooked Hillary over me in the 2016 election that day and there are many other information in this area as well and he was angry because he was being shown as an idiot in the search results and then then we had a court in the U.S does the political debate are under the category of the inappropriate context the Hillary Clinton emails for instance when you search for Hillary Clinton emails they try to give the email I swear not the leaked emails of her because that it is also a kind of debate context or inappropriate context so that's why if you want to change the entry results for yourself if you want to remove certain results make them inappropriate as much as possible by changing the qualifications of these attributes make them debatable make them inappropriate so the search engine can actually hesitate to give it if you tell the surgeon these are not safe answers they are the safe context and if they are outside of the consensus of or if there is no possible wife or consensus they will try to stay away from that and here Trump sues everyone so they need to take some precautions there so in this case here actually I will need to read a special this area this section is important or let's say a more explanatory and let's say if the specific consensus is not created and the context is not safe either the number of Declaration statements and answers to be corroborated from different sources will increase in the situation of Immaculate the proposition tried to create an identity for pornography then you search for the immaculate price or basically it is related to Dentistry but when you search for the immaculate price imagine that something really bad actually appears that I didn't even show these type of things to the Mrs MX so because I didn't want to upset her and I I was just angry and I I have removed the results or outranked them but Google is not good at for taking the macro context at all you can actually create I I shall not tell it because some people might use it but basically this is what we were fighting here and the price and the service types of attributes since yes the the service also was there since these contacts are not safe and it is easy to Google these documents are easily suppressed by the other document statistical context and information to use attributes such as beautiful attractive specific pornography context had to be removed it comes while that documents are there or while they are not outranked I can't use the word beautiful around uh the specific entity is dangerous you should be able to think about these strategical things that's why you're told that map is the military concept you need to understand what they what kinds of a move they are doing so that you can do another conceptual move there as well politicians also use all these things all the time for instance imagine that uh Martin Luther King actually imagine that he tells I have a dream right he tells I have a dream if he will tell I have a plan no one will care no one cares when you have a plan because it doesn't have any resonance it doesn't have any magical beginning you know when you say I have a dream it's like holy it's like sacred it's like something that we can't reach out yet but it's like something that we should be aiming for so that's why words have some magical context around them and that's why the other word the casting casting in English basically it is also connected to the magic but casting actually means telling the words but this is also connected to the magic because they create a kind of magical effect on people's mind whenever you use a word it's connected to another word even if you don't want you can't stop it your our brains are designed for it that's why I always tell semantics live inside our brains just read the research papers and do your best and in this case here too the concepts like magazine love lovers Scandal new relationship rival Etc type of documents actually easier to connect to the adult context to connect these specifics pause related predicates and nouns the artist art author podcast and the first husband a satkular who is the father of the daughter yasam and killer killer are used so let me explain there are two exposments one of them unfortunately dies and he is a good person and imagine that I need to belur a certain type of attribute value there because she is an ex-wife matu for which one basically so also to be honest she is a video of two I didn't dive in there in the search no need but I just actually behaved or I have just created some new documents about best articular so that the first ex-husband might be more important than the second one and the first one first entity might be associated with shorter Association pads and also more Association more diverse Association pads and angles and once we do that the doubteria semicular will be connected back there as well and so that I can actually use the suppose attribute together with the professional manner on professional context and then we I can actually create a border a topical border between dentists and the unnecessary love life related things and why is nature of meaning actually relevant to the Google's understanding of the definition of the things in this area the meaning of nature involves semantics semiotics philosophy of language metaphysics or meta semantics and meaning sorry the meaning of nature explains what a thing means from a different angles for example psychological theories truth conditions measurement computation and logical theories Define things with different meanings truth change is based on the theory that is chosen for the meaning of the nature for example or respondus Theory says that the correlatives of a thing and its expression should match each other if an expressed idea has a representation in the universe it should be true but while things expressed might not have a true sight for this Century they might have one in next one basil this is coming from Aristotle Aristotle tells that if I'm able to imagine God and if I'm able to see the God's effect on the planet or the gods the gods should exist he tells but the thing here is that you can actually imagine I know something scary a speaking planet is I am able to imagine it right and we know that pns also exists but they don't speak but since we have a partial representation of it according to this Theory I can claim that it's truth this pile is not usually this this Theory works because when you say a microphone you are able to find a microphone it's just here and in this case actually we think microphone it's also real it's also just here I'm able to see it I see that and evidence here which means it's actually a real thing as well but this Theory doesn't work for every Century all the time and there are some other theories here correspondence was one of them and then we have coherence for instance coherence Theory can provide an alternative perspective on determining truth and accuracies when compared to correspondence Theory coherence theory suggest that instead of relying solely on the facts from the outside world for verification one should also consider how well different statements fit together logically within a given system or framework of the thought this means looking at how consistent ideas are across different domains rather than just focusing on their individual correspondence with external realities alone this is a good theory too but it doesn't work always as well because we have fallacies I can create a claim then I can create another claim that approves the first claim but none of them has to be true so it doesn't work all the time as well then we have the constructivist theory this is the strongest one on the humans you can't convince someone with a strong experience at all whatever you do even if you bring here Einstein or something even if you bring Socrates back from the uh back to life still con the constructivist people will continue to do what they believe in basically it tells that it's a way of thinking about how people learn that stress is how important persons experiences and knowledge basically if someone experiences something bad from something they will think that it is bad there is no way of returning it back to you sometimes it works it's true sometimes and sometimes it's not true at all when it comes to consensus this is the one that actually Google accepts Google accepts that if most of the alternative sources tells X is y x is y that's it but they have to choose it because you're a search engine a search engine can't experience a search engine can't check the words whether this thing exists on the real world or not and it's search engine also can't use the you can't use the coherence Theory as well that much because it requires too much computation to be honest and natural language inference which is not that much good and when it comes to the consensus it is something that they can use only thing that they can use when it comes to the pragmatic Theory basically it tells that it doesn't matter something is truth or not that much less focused on whether it is pragmatic or not why do we care what the truth is that much let's try to understand whether it provides something to humanity or not so according to them the verification of the truth doesn't have to be verified unless it is pragmatic that much so this is like actually Voltaire for instance he was an artist and he also claimed that God is necessary because it was programmatic pragmatic and at the same time I was about to say programmatic I am sorry and when it comes to The Logical positism you can read it by yourself but this is basically scientific if we have actually something something that we can get a positive result from it it means that actually it is a fact if you don't get a positive result from a test it's not a fact and it is also it doesn't work all the time as well so that we don't have a single Theory to satisfy every situation that's why we will need to use all these theories together to understand the truth but when it comes to Google this is the only one and here I explain actually the kelm maybe I can show the can language model to uh quickly to you in this area for instance if you check here based in account language model Google actually on creates has a Knowledge Graph they verbalize Knowledge Graph and they are able to actually see that this text is generated if the text that is generated is closer to the your text it means that you are telling the truth if it is not close it means that your content is not accurate and knowledge based trust something that actually I already explained many times in my semantic content Network as your case study and basically you're able to extract the triples from your content and if they usually give the truth or accurate it means that actually you have the knowledge based trust and it can balance the page rank as well and I will publishing the three books this year quickly I believe after the course so one of them actually focuses on that concept even more and factoids basically factoid is unification of effect with an opinion and knowledge based construction around Android questions is actually needed for changing an entities identity and being able to actually come with the search engine at the same time and you can check the concepts in this area or you can check this presentation there is a link for that opinion based article ranking and now I will I want to show you some of the results and I will be giving some of the actually these sections then we can end the video at least I was able to demonstrate some beginning Parts a little bit so to be able to affect the document statistics actually there are basically two ways one is the legal way you can remove some of the results by using a lawyer I did it I used a low year and I have removed many results from really important sources I translated some of these for instance it's a surprise love with someone this one tells a magazine Focus sentence it is also a scam it tells that the person didn't pay debt and there is a kinds of bank issue for her which is harming repetition this title tells that I swear we are not lovers so you can see what we are dealing with here and in this area too the search engine communication section matters too because you're able to remove results from Google in this area I explain you how you can actually remove the results and my search engine leaves these sections open and if you check the remote more options area or sorry about this Source panel you will see actually this part here basically there is always this remove results search engine brought this remove result option closer to the serp directly you can in the old times it is it was hard to find this area right now it is in everywhere which means that actually search engine wants you to use these things as much as possible and it is needed these are the options in this part and I am giving all these things you are able to also report any content on YouTube but if you do this from this form you can only complain about the thumbnail and the title most of the time and from Google shopping to the Google search or to other Google products we were able to perform these type of reports and we have used these reports to remove many content there you can also use trademarks which is important defamation is one of them as well we removed or we demoted some of these things especially focus on personal to identical information and even if the competitors or opposition even if they don't include this type of thing there still you are able to make the search engine think that they are actually uh they're actually let's say invalidating some of these rules as well for instance you can you can directly trademark something or you can behave like you have the trademark you can remove something the money comes with defamation you can Define what a deformation is for someone basically and you can use all these parts all these type of things as well there are subsections and sub guys I explained all these things there are two other sections for YouTube and the competitors or a position they publish many articles inside YouTube too and we feel these specific areas as well if you fill this area directly from inside the video they will tell you where it appears and fill these areas in a long long try to fill all these 500 characters and if you are able to do it in a proper way and from multiple accounts it works as well they demote the video even if they don't remove it imagine that there is a video and there are 500 requests or complaints about it after a point search engine starts to remove it actually from the Google video Carousel and also it starts to appear in the lower rankings on YouTube as well which is one automatic but it should try to use it in a legit way as much as possible and there are some other explanations in this area and I give you some technology names here like video bird which is a language model to understand the videos and there are some other other things like visual semantic labeling for videos understand for video understanding if you check these resources you can understand how search changes actually can see the videos because there is something that we call in video search in video search is connected to these type of timestamps they check whether a certain type of word actually appears inside the video or not if it appears in this case actually they check directly your your complaint as well and try to write these things in a proper way but you the search engine can actually be convinced and in this area we actually have an interesting example from Google because in 2019 the Scientology they complained about a video and a Blog about themselves and they wanted to remove it and Google actually didn't remove it directly because according to the Google I can't tell that according to the Google it wasn't against the love but then they actually had many other types of Love or the love issues this one usually they started to use the laws and if you're able to prove that your local laws are actually against the specific content it might work too but they either tell that we can automatically confirm that's why the complaint count here actually matters and there are many other things that I have done I explained them as well and these were the videos if you check these videos you will see that two videos are about magazine two videos are about a doctorship this one here we have the doctor doctor then we also in this area we have Associated which means magazine great things it is also important for by the way engrams because this means dentists but they sell they tell dentists from the magazine World which actually they defy or they make using that specific occupation name harder for me which is one of the issues and I needed to actually clear that first and as much as I can okay this is the actual current situation but I will be showing it to you after explaining these parts too the first thing that here actually that I have done is uh two things first of all you remember the first entry that I have shown you right it was actually directly an ex-wife like this I have created many official websites for this entity then I have actually started to connect one of these websites to the new end that I wanted to create and then I also I can't if I can just take here let me start here it will be easier let's make Spain and there are too many things here that you're going to read okay so in this area you see that there are two entities both of them tells dentist so I removed ex-wife completely but why there are two entities because first of all two different entities focus on two different contexts I created two different document clusters they always use different internal links and external links and their vocabulary is different and they have also different two different entity homes so search engine are is not sure whether they are the same person or not even if both of them are actual dentists in this case I actually I didn't put an official concept for it yet but imagine that there is an entity you create a website then you take the control of it once you take the control of it you actually suggest changes they reject then from dentist as I say I want to do actually journalists from journalists we from out Outer from Outer we went to the journalist because the first thing that I want to do is that actually I wanted search engine to realize that the specific entity has many articles but I use the author section the new sort features actually when I choose the author subtitle and the entity type new serp features started to be appearing one of them was articles search engine has taken all the articles of the entity by recognizing them and they started ranked articles directly and also on the serp another Dynamic serving of the content section appeared basically a sidebar appeared with the Articles articles from Nationwide actually Publications from Immaculate in a scientific way they are published and they start to appear which means this attribute articles and authors they were the first Tire of the entity when we ask who is immaculer she was an author right now an articles matter most then I turned author to the journalist and in this area we actually had many other biographic things as well and a new sub process has been started to redefine The Entity and the search engine actually brought other types of outposts from a macular director to the serp one more time which means that if I would go directly with a dentist the Articles or other types of posts that is coming from a macular they wouldn't have any kinds of chance to be able to actually use these things in a cost-effective way you need to force search engine to look at these options if I go to the dentist directly articles wouldn't come there because no need for that none of the identities they actually have that much books or articles or these type of things and X5 section still still will stay strong so when it comes to the algorithmic hierarchy if a search engine uses one of the sub processes that they have usually they want to do it in an economical way which means that actually if they have a result a concrete satisfactionary result from one of the sub-processes even if that sub-process belongs to a specific type of entity Identity or a certain type of query or certain type of topic still they will be using it even if that topic changes or even if that entity changes its type because once there was a cost but still the result was good so they know that yes the main attribute is dentist but also in the sub attributes that is not served author is still there so we actually added multi-identities to the specific entity and ex-wife became author journalist dentist at the same time and dentist was the first an ex-wife has went to the church to the last part but it wasn't good enough then we created a second entity the second entity there it was directly dentist but it is coming from a new entity home which is a new official website and there we add a different document cluster or document Network that internally or enter it's not the internal of course but there is a difference sub internal section inside the lincraft and they are linking each other with a different types of vocabulary and all the articles are written by different authors so the vocabulary and the sentence of structures are completely different images are unique as well and there the second entity is direct the dentist and in that part when you search for the name the search engine gives you unification of two entities one is pure dentist the other one is author journalist dentist and ex-wife which means unification of these two entities on the universal search is 90 percent or at least 80 percent what we want to see which is a dentist author journalist a mother and many other things then we also created a podcast and then we've created another official website and we turned the entity into a podcast show of Runner and show of owner then we also increase other context more and new serp features started to appear appearing for instance podcasts direct inside Google podcasts we registered it but this project due to my health issues and some other issues in Turkey especially as you know we may have many problems after we have actually eight after we complete eight percent of the project at least right now it is slower but the next step actually was publishing a biography for the entity and registering the book also to the Google Books and then even if this opposition actually creates new fake porns fake news slandering Etc when you have a book when you have a podcast when you actually have many different identities that is registered by and also recognized by the search engine they won't be able to appear in that area at all we also triggered actually many top stories section 2 by publishing many news sources at the same time as well and we if you check the Articles you can also see how we structured that two signs Two magazine and then we also designed new images because if you when it comes to the scientific celebrities especially or when you can come to the celebrities you will need too many images if you don't have Unique Images it will be harder to compress or suppress the other side because if they have Unique Images image map pack where we show image pack will be showing them and from the image section they will be taking Authority for Rank and relevance and it will be reflected on the universal search these things are explained in these areas by the way if you check this area why is Page rank important for enter the identity creation and management why is Third Estate control for Aid entity identification management important why is the MCA requests are important why what are the spammy examples and found you have seen it in this video and also what are the search engine result page samples for edited identification you can see all the search examples why is using different authors important for enter identification because we have to change the vocabulary and the word seconds as if the search engine realizes it realizes that all the articles are coming from the same source is not something positive and they can actually realize that it's easily and why are every file types important as this is important to because we use different types of files to be able to actually rank higher because in search engine result based diversification there is always different types of algorithms and in Yandex too Yandex League source code it was there basically if you always see video content on the serp a web page has a higher ranking chance the first one at least or the representative of the cluster one for instance in the images area you can use and GIF if your competitor doesn't use a gif since there is only single GIF search engine will want to include it there and digital PR section is also explained and why is using other search engines important too because we will be showing you results from other search engines too this was a multi-search engine project and search engines checked there into each other's content if for actually bug debugging their own algorithm or understanding their competitors if the results between two searchings are too different it means that actually they have two different index or they have two different ranking algorithms in this case they wanted to understand why it is different they will check each other's patterns research papers and also they will check their stuff they will also check their ranking algorithm updates as well so they can actually understand their position understands or the opinion mindset of their competitors and if they realize that this specific entity is a dentist in bing but ex-wife in Google is an issue so that's why they need to check what others show as well so these things actually can change in a little bit correlative way as well identity information on also why it is important and information for aging means constructing serp to satisfy it as average user but also other minority user clusters and bordering items the mean stats I already explained that we try to change the definition of the identity you can't go to the other side directly you need to create a progressive change inside the consensus you can't directly tell that no she is not an ex-wife you can't tell it you can make it Progressive change like different shades should be created there and this is also about it for other types of semantic Casio projects as well and Universal search is important because it is a unification of entire other search verticals and we have used every vertical of the search here including illustrations gives pptx only one time but in this case in this case the article I didn't include it as well so inside here you can realize actually what information zone is what information point is and what ends the home is these are the website samples you can also check it and I hear I also explain why product is important one more time and because he is one of the persons who defines information Zone if I read this area into home is the concept that is found by the Jason Barnard and as brand served and knowledge panel management The Entity home is a specific web page from which the search engines learned and the identity attributes and values these web pages are the centuries within the web page clusters that Define the related phrases attributes within the phrases and queries that are connected to phrases and other entities that are associated with The Entity and the value type such as the date amount age weight hate artwork opinion stance and more The Entity home creation process is the process of creating an information Point within the web for defining the entity information point is a connect concept information retrieval basically information retrieval is for understanding relevance extraction is for taking information information Zone by use for information retrieval information Point has been used by the extraction algorithms and basically here we give relevance we also give responsive answers for possible generate generated questions as well and the consensus Theory nature of meaning collaboration of web answers or groundedness they are all related here in this area if you learn all these Concepts it will be easier for you to think you can see here the this is the first version as you see the the knowledge panel is not claimed and ex-wife is here groom wedding pictures and not divorce picture as you see here and this is a magazine Source here and these are the other lovers of this I guess I don't know but all these people are basil lovers it's like Gossip Girl anyway and this is the transition process as you see in this area search engine uses both of them two subtitles appear together dentist and also ex-wife now we start the transition then it becomes actual author this means yazar means author and we lose lost the picture and the second entity we create a second and sorry this is the second entity this one here actually it says X Y but the picture is different as well and whenever we change something for one of them the other one also follows it in a different way as well and this section here too we have two ways indirectly we can affect this and directly indirectly means that we are affecting document and query statistic which is way much more stronger directly that means that we suggest suggestions but it might be rejected the verification methodology in the knowledge panel it is in this area and this is my knowledge panel I am a consultant and here we have these things these news coverage in this area and this is example from English web LinkedIn is here my profiles here my definition is here I'm a consultant and videos and overview is here since books will be there too but I don't optimize my own results that much or I don't care and we I also here explain the concepts like consolidation of named entity between languages and different search verticals and here named entry recognition resolution linking and registering are explained and you can read them named interlinking is basically related to enter the home it is linking the most related page and most alternative page for you we also have collaborative web pages which means we link other supporting evidence Pages independent third-party Pages as well you can suggest edits like this but usually they are rejected I can tell and this part is important to the duration of waiting for a change after making a knowledge panel change request article changes according to entity's prominence region and language if you are not that much important entity it might take actually even longer than 10 days I can tell this is the author ended explanation as you see and still as you see the knowledge panel it has not it's not claimed we are doing these changes without any kind of direct change in that area and you should you should definitely read all these things these are the steps like a podcast series is created you can listen it if you want by the way podcast series of a maker is used on Spotify SoundCloud or other areas and journalists she becames then here we have journalist section and you'll see that scientific results are appearing and Knowledge Graph section explained now we have two dentists this means dentists two dentists at the same time people also ask questions have been changed and this is the first section as you see the first question says marriage the second is how many children in this area but even if that section if you look at to do sorry this is actually later stage but I will need to explain it a little bit because we changed the answers because when you click to the marriage section you see back that killer here directly and which means that actually we are opening a new pet in that part as much as possible and when you search for best circular another knowledge panel appears in this part in a suppose area we have a macular and this is the macular picture directly this section actually needs to be improved because we need way much more document for best that clear to Define and make also him important as much as this one in the knowledge graph then we'll search for the daughter and in this area in one of the podcast episodes we focus on the daughter that's why the section is here whenever we have this podcast and according to the search engine the television series and the podcasts they are taken as the single entity which means an episode from a podcast will be connected to the next one in terms of the macro context which means that this section will be connected to our other episodes every episode has been created for a different attribute so basically every episode has been explaining another attribute by making it more and more important and that's why we always have Immaculate inside the images as well and in this area we also see something more once we actually click to do what is the age of the immaculate we also see the doctor section here which is good we see also this part I have used these phrases a lot it says successful successful dentist not magazine dentist okay that part is important if you have a foreground go with the four gram it's too technical I know but just do it if you have a four gram phrase that you want to change replace it with a foreground important if you want to learn more just check this section like out of vocabulary concept oov and based on that I replace it with the successful dentist and here we when we click what is the age of Dr amen killer we see Dr emek toyer which means the entity is connected to other doctors even if this becomes of the name similarity we also see that the the daughter appears with the same attribute as well which means attribute is connected to attribute and it is connected to the entity which is a good connection these are some of the results that we created when you search for her name right now you'll see all these sections and most of these things are all of these things are new actually yeah all of them are from us this is Family Life Family Life and different sections this website is coming from us again one more time Family Life and here these are coming from the other sections sorry and again this is coming from us and this image is also in the image pack and there are many other sections here Bing pages I won't be able to explain it right now but check it Microsoft ping will be a problem for Google these are the Yandex results and here we directly have the dentist then we also have made most of the time as you see 99 percent of time we have just Immaculate as single this is last one all the videos are actually scientific and focus on the uh the context that we want and in this area we see our podcast with the timestamps directly only this one is magazine but 99 percent actually that's a 95 percent is for us we see words like the r DT which means doctor for both of them in Turkish and here we see all the results that we created none of them magazine all of them scientific this this is directly heard journalist articles let's say and here we have the results some other digital PR work that we have done and this is the latest but lately I don't publish that much due to do some course preparation and these are the big results this is the live ones as well and I should have been publishing this case at the very much before to be honest because once I start publishing these things for our part things have started to change uh a little bit let's say a new balance has been created so it needs to be continuing actually this is important too uh because gbt like systems can't think these things or they can't do these type of things too the same also will be happening other Concepts this is not an answer of work only for named entities as I say also for the topics like cancer or hair transplant you will have the same situation you want to create a consensus and SEO won't be that it will actually be very much more important and it will be very much more expensive and search engines will need to actually serve way much more sources on their search engine result pages and after a point talking to AI will be boring because you will realize that you lost your interest and even if you take the answers in a quick way still you once whenever you need more you will go actually one of the suggested real expert sources and the real Advantage here is that imagine that you create a chatbot that uses your content as a knowledge base it will be happening too you will be giving your content Network and chatbot will be giving all the answers just from your content which means you will have your own chatbots your own chat gbt for your own industry as well and it will require actually these type of results or these type of things and right now ai has been used for detecting actually AI content and this is the latest state of artwork here basically based on the whitelisted and blacklisted words and based on the statistical signatures we are able to detect whether the something is coming from a certain large language model or not and we are able to detect it with the actual 98 percent of the certainty already so which means that if if a search engine or if another website uses your own language content we will be able to recognize it and probably it will be an issue for the MCA one day as well so don't get scared things will be way much more fun for us and also you should be checking here too we change many other sections here for instance in this area it says hate hate I mean it is late and here we have a form biography and Instagram age and sports and this is ex-wife there this is the best Outfitter which means it actually will be created an alternator it didn't appear before once we created by Statue as an entity this appeared which means it is a balancer and is more important because it's coming earlier if you check the current situation here actually it is nearly same but there are some subtle changes there we also used reviews to increase the reputation of the entity we use Google posts it is important because it is about actually a serp estate control a Third Estate means that actually for how many pixels you are ranking not not in what pixel you are ranking how many pixels you covered basically if you are not able to altering if you are not able to make them go away just try to create more cert features try to create these Google posts in Google Business profiles it will be a carousel ask questions to your Google business profile they will be also having a place in the mobile search results create products create Services create discounts or many other things they will all have different types of spaces on the serp so it won't leave that much space to the other context and since business profile is for business the business context which is dentists will be actually prioritized to keep the serp more responsive and this slider it is directly there as well and other information sections have been put there this warning is appearing at the bottom of the search engine result Pages basically tells that some of the results are being removed due to legal reasons bmca companies also have been used as you know once even Reddit lost their homepage rankings due to the dmca and this is a complete section as you see Carousel is actually appearing but the image is not completely exactly continuous like that two entities are here we have these things here images are in this area people also ask questions here and non-magazine results are in this part too and then when it comes to the page rank these are the result the sources that we used no page rank no page rank no page range no page rank or know that much traffic as well when it comes to competitor you see millions of clicks millions of clicks and lots of page rank but still we were able to actually win let's say over 80 percent that's for now and these are some of the screenshots that you can check I just put all of them they will be inside the gallery you can check the transition of the search results for instance you remember this video results it directly here as you see this is our podcast doctor it says one of them is like that it also explains video ranking because we are dominating the video search results we have one YouTube channel it's not possible we are taking nine results with one YouTube channel so the last one actually comes from another YouTube channel and the view count there is also met it also matters too we also opened by the way medium account Pinterest account TV record but TV rings on USA not in Turkey because some certain types of domains are prioritized in terms of ranking on certain types of geographies for certain types of entities for person entities in English language in USA activity ranks higher but when it comes to Turkey it's not that strong so that's why I also talk about Universal search and consolidating the entity resolutions in different languages that's why actually I have shown my Turkish and English entity search results or brands or instances there because if you are not able to compete in English against your competitor for defining an entity or cleaning your brand serve go for French go for German go for Arabic or others create a consistent amount of important amount of document Define oriented in French in a highly old treatment Prosper way then search engine will directly reflect it also in English too it will be very much easier to convince the search engine in that way and the search engine already automatically give the results in other languages by translating them so I already explained this actually in this area in the translation part you should be checking it too as you know I don't write video scripts how can I explain these things in the secrets that's why I write the article this is the index as you see most of the results are video and these are the regular results all of them actually are the results that we want some of them are not these are the related searches for Yandex this is for us this is for us this is good too this is good these two are good too but this this one and this one these are ugly I hate them uh this one regular and this one is regulatory it's not that much bad but the the other ones they are bad I won't tell the meanings I disgusting for from my point of view to be honest it's not that much bad but I know the opposition that's why others and these are the some other sequentials from different timelines and you can check all of them these are the video results as you see in the carousel we have only doctor doctor doctor this one is our podcast basically these are the video section this is the video carousel on the universal search this is the video search results directly we have doctor and other doctor results and knowledge panelists here too and this is the first page regular results another into the home that we created and Twitter is in the area too and you can basically check all these sections as I say yes there are some big pictures in this part too this is the podcast series inside the podcast section I can also tell that there were many technical issues in the websites a lot as you see this title is pretty bad we even couldn't change it properly and this is one of the sections dentists we give actually a definition with nationality even education born and other things and this one this is the first sample by the way not the current situation but you can check some other areas this was the first one too as you see this is what I mentioned with the dynamic content serving as you see it appears sometimes at the left side it happened because we are coming from the outer section as well and there are many other things here that you can actually uh check okay this is I have put some of these also I have put all of them actually into the gallery and you will be able to check them so let's move on to this area this is as you see it says successful a successful dentist this is being amazed when we asked for who is a macular it's a successful dentist and all the results Immaculate a macular comb Immaculate orc they are their immacula net is Here YouTube is here all these results are as the ones that we want and Immaculate org again Instagram YouTube and also hospitals Etc they are here too video results are also as we want to when it comes to the regular search in this area it goes like this immaculate.net and maker.com I also explained the cannibalization and cook cannibalization algorithm differences between Google and Microsoft Bing you can also check it inside the case study and what I make your thinks about the Dentistry for instance this is an article that we also have written it ranks there because the person is directly a dentist and we have the social profiles of the entity and all the other things are here too when it comes to Yandex in this area we have these videos it's actually nine to five percent as we want I can tell when it comes to this area we must be for the question who is the podcast and other things are here too this is directly coming from the Google area you can also check it with the 100 results the podcast feature it comes in the second page if I actually create a third entity home it will be coming in this area too so you can check it most of the news that we publish they are actually in the second page due to the page rank as well but they are supporting the pages in the first page as well I explained this one already here so I will explain these research purpose then the last video before the course is ending so basically Google is actually able to track the person inside the videos and they're able to actually take frames and they're able to characterize the person and recognize the person and store the person in formation this is related to the actually a little bit the celebrity search and the video search together but imagine that they are able to recognize who you should be listening to sometimes you can see that someone that you listen care regularly in YouTube they might appear in your YouTube homepage even in video time is a video description or comments or any of the video tags actually mention them still there there even if actually text of the video or subtitles of the video or the words inside the video don't mention them still they will be there because voice and the face they're easily recognizable so they will be recognized stored and used in the video search as well I already explained this one this is the most important one here context based person search inside the context-based person search we are able to check which entity appears where how many times together with what other entity and variable to understand their relevances this was the main research that I main pattern that I have used during this type of case studies and this is from Google flagging famous people and this is an example actually from the airport slavsky it explains how the famous people actually should be served on the search engine result pages is coming from s.com it's sad that we don't have another Bill's lawsuit to be honest lots of other patents are coming I am not able to read them no time so in this section actually I will I will skip that and in this area performing end to the actions on the sides this is not directly about the person search but basically imagine that based on the website segments or the sections we are able to understand what a page actually can include or can do you will need to include this type of entities or into the actions or the relations according to the end type inside your web pages store if you have a dentist book and appointment will be one of the answer actions there it will be connected to the price use it Google has a social search engine and it says artwork answers and circle pulse in Google search results so this is actually a good article too it tries to explain what a social search engine is and what kinds of a connection search engine Google actually can create between users based on the social signals and also like Quest and answered platforms or other areas I would suggest you to read it because person search is about that because this micro actually being pages is also about that but your brand serve is actually it's like a Facebook profile now so you need to see it in that way it is explaining that and Main entity is that this is something that I already explained but you can check it but all these sections and identifying Central entities trying to check it please it will be useful for you I remember the Aaron offic actual name a lot it will be useful and usually names here are consistent too it will be easily for you generating a second entry graph for the First Resource do you remember the candidate entity or candidate Association and Association candidate basically from the article you should check it and this one here it is important uh but this is important for actually Auto suggestions I already create a really good amount of articles for that I won't type in that much but if you want to change the auto suggestions you should focus on these two actually I have a really good spam example for that if I create a view I can create a YouTube source for it later it's a little bit dangerous but it's about that creating fake websites to be indexed actually but it can be used later or I don't find names this is about nicknames as much as I can remember yes because if you have a nickname for your entity it will be easier to actually make it recognizable so try to use it tacter dtdr MX fluid immaculate pseudoramic or even you can use the labor which is English of dynamic and you can use whatever you want there just be consistent with it use different variations make it more recognizable and when it comes to this one sorry for this when it comes to this area this is actually also about the Yandex League 2 because it there is also direct a section there but basically imagine that I also try to open Wikipedia pages but they are deleted and I created them in a different way but the thing is that imagine that I change the angle I marked the other side as ex-husband at least for three weeks it was in that way I couldn't show it but it was good anyway this is augmented augmented search queries I explained this basically based on the connections of the entities we have different types of context vectors and contextual domains it is coming from as you remember dance retrieval at the beginning of the video it is given check this research for personal articles from Bill slasky as you know he arrives in a more understandable way and social network powered search engines it is important to actually understand the human associations on a social network it also gives you certain types of contexts or ideas to how to change relations or associations between entities as well and this is the one that I've shown you in this part if you want to see an entire pattern just check just here you can actually read the specific sections but I will suggest to check especially the word actually attribute to be able to understand these things further and if you are able to add special check actually Tom Hanks is like an is in all the buttons but just check it just search for top Hanks if you see the example it will be helping to you this one is the other pattern in that part and in this case we can actually end the video I believe I explained most of the context I can show you results from also this area too from Microsoft Edge I believe we will be using Microsoft pink a lot but not scared SEO will stay with us there is no need for being scared there it will be even more important but my suggestion to you is that learn nature language processing immediately so my people please move please join actually to do a Facebook group I am too tired as I say due to the earthquake in Turkey join to the Facebook group of the holistic SEO it is a free group and we share information there for all of you and I will be sharing the information there and after all these let's say one year I published I believe more than 16 different SEO case studies and I have published more than maybe even 40 hours of videos for just training the industry and changing the industry in my situation in his heart because I realized that many people steal my Concepts my matters my strategies and they try to give them like they are theirs at least not when it comes to topical Authority topical maps and also other Concepts like let's say contextual domains contextual layers and many things in this area including entity identity creation and management these concepts are actually mainly coming from me for instance into the home Sprint serves they are coming from Jason Barnett I always cite people I always cite build slavski and I waited for a year because if it would be about making money I will be publishing these things way much before the thing here is that the things that I am doing they are new is something that you didn't see and if you think that you have seen it before probably it will be harder for you to learn that what I am doing and you I will be showing many testimonials from they have already over 10 years of experience in SEO field they all feel the same way so that's why keep stay open-minded and once I publish these things I will be happy in the future if you're able to give an attribution or citation or something because I have an academic character and I would like to be actually sighted with my own Concepts if it is possible is just the kindness that we should be showing and it will be helpful for actually increasing the Innovation speed in the SEO field as you know with this is a disorganized industry we don't we won't have a second bill slasker for instance and having this type of fundamental changes in the SEO in terms of mindset we will need this type of respect to each other with that said I know that many people already left the video which is normal I don't blame them and I know that many people also come back to these videos more than 40 times to watch to finish to learn and to continue to learn to take notes you send me many many pictures many many emails and I am thankful for all of them and we will meet in the community and we will meet in the course and it will be a course that we actually update regularly and improve regularly too love you all thanks for listening to me and namaste