Exact Matching Domain SEO Case Study and Tutorial: Rank with Branding Search Terms

Key Takeaways

hello my name is corito barcuber and I am the owner and founder of holistic SEO and digital in this video we will be talking about exact match domain and exact match domain or AMD SEO we will explain why it is still working despite Google actually tells that it doesn't work for nearly 20 years and while explaining that we will Ex we will also examine the query semantics from a different angle and we try to understand how a search engine actually can add different context layers for query interpolation and also let's say query referencing for certain types of sources we told we will talk about pairways pairwise relevance for matching different documents with each other with certain types of compositional queries and a compositional category quality scores and after that we will be showing you two different websites two different real world websites with an exact match domain as your case study and in fact if you check actually one of these documents here by saying one of the documents here I mean actually the case that I have published with the 2006 websites actually it became 2009 I am adding more websites here but here I tell you that actually we will be explaining some of these sources in a different case study further but here we just give you the details for lexical relations and this one here the graphic that you see in this area it is coming from the used car industry and also it is an exact mesh domain as your success it is a sub-project of the Volvo that current which is a let's say a website that provides actual direct to Consumer and also business to business product Solutions product here is actually used cars and this is the exact match domain the funny thing here is that since other competitors actually couldn't pass or outrank the specific exact match domain they found the solution for opening or creating another exact match domain website and this was the problem that actually Google had to focus on like 20 years ago since we used the brand search X brand search relevance Factor many years ago or let's say our ancestors SEO ancestors or our SEO fathers and mothers 20 years ago they were using exec mesh domains for actually bending the queries and also making commercial queries navigational or they try to actually change the meaning of the query by providing enough level of uh enough level of exact matching domain so that they can change the document statistics if document statistics change Google will need to change also their interpretation for the specific query as well and it happened one more time here actually while we are using an exact match domain the competitor needed to use the same exact mesh domain and it created many problems here like brand identity if you check actually our YouTube channel in this area you will see that in SAS SEO case study we talk about brand identity Source context and also how we need to actually create a brand reputation for SAS projects in SAS SEO campaigns and in this specific one there were two companies one is networks the other one was Sunnyvale meet and when someone searches for Sunnyvale there is also a location education in Oregon which is called Sunnyvale and also Sunnyvale networks and also Sunnyvale meet they were competing together to change the meaning of the query and we have seen how the query variations and queer interpretation and processing would actually change this process in this specific one here we talk about query processing in a really good way I can tell and also we explained you how you can actually expand a topical map further and when it comes to query semantics we focused on the query search language and what does it mean and in this section we have used actual two websites as B2B one of them was over the product search engine and we try to actually change the meaning of the query so that we can actually connect everything back to the specific our own website in appropriate let's say relevance calculation in other projects too you will see actually that we mentioned from time to time the exact match domains but especially this one here the one that I will be explaining to you it will be let's say directly be focusing on site quality query inference or query processing and parsing and at the same time uh let's say a little bit how a search engine can try their best for preventing certain types of sperm but why they are not able to actually keep seos from using exact match domains because it is about further configuration while you are trying to actually decrease rankings of the exact match domains as a search engine engineer you might end up while decreasing the rankings of many other irrelevant websites that's why we will see some interviews from metcals and also Amit single and there there also they are telling that calcius interpretation is an important principle because you might think that in while trans while using this machine learning systems or classifiers you might realize that all the websites they seem like small red or green or different colors dots and you might assume that all these specific dials they shouldn't rank anymore but there might be really good websites there the problem there is even if you think that actually what will happen if you just delete maybe 5 million websites accidentally or not delete but the mode in the rankings the problem there is if you change the ranking documents statistics it will also change your quality inferences and it will also help other types of spam websites go higher in rankings one more time so that's why Precision or record Precision is important we will also see how we can actually examine the patterns or how we can actually choose the patterns based on these explanations so to be able to understand the search engines or any kinds of business as a business analyst because every SEO in my understanding every SEO should be a business analyst whether you can whether you try to analyze your clients business whether you try to analyze your competitors business or whether you try to analyze actual the search engines as businesses we always we always have a kinds of announcer or spokesperson so try to remember that metcals is one of the spokespersons here but not just this is not the only title that he has he is also an inventor he's also an engineer he is also an let's say blog author and also he is one of the faces of the company during this time which means that if you see his name inside a patent and also in an announcement also in a blog post and also in a video for this company which means that he really focused on that and Google will be will be probably using actual that technology and here metcals in actually 11 years ago he was selling that minor weather report small upcoming Google algor change will reduce low quality exact match domains in search results this section is important it also explains why we will be focusing on the quality scores or quality understanding of the search engines not just the queries exact mesh domains but also quality because it means that the search engine actually doesn't have a problem for exact mesh domains they have a problem for low quality exact mesh domains but how will how would we understand whether an exact match domain is low quality or not let's say let's say for a specific query let me just come to this part let's assume that here we have a query which is query one then we have some query variations here like let's say query one plus x squared 1 plus Y and query one plus C and let's say you have an exact mesh domain directly for this one the query one and answer plus Y in this case if the distance from X to Y and C to Y if it is not that much high and also these queries are from the same context search engine will actually expect you to have some certain pages or certain sections in your pages for these specific query phrases if the context changes from X to Y slightly or May in a major way again you will need to actually have other connected these things for all these specific Parts which means if you don't have this you won't be able to actually ring further on that part we will also see page rank page link distribution or reasonable server model and we will try to understand how the patient also can affect these things because even in the phrase based indexing invention under Patterson tells that even if a web page or a web Source doesn't cover all the contextual terms or the contextual phrases or even if they actually use gibberish content if the web Source has high level of patroning and direct traffic they will be tolerating that so pastrying is the kinds of Insurance in SEO even if you do spawn if you have high level of page rank you might be tolerated when it comes to do high level of popularity and also direct search demand and also direct traffic it is actually like Beyond even life insurance it is like actually a kinds of natural advantage in search engine optimization that's why brand building is the end game for SEO campaigns you get the traffic that you convert the traffic then you be become a habit for the user once you are become inhabit it means that actually as your campaign reach out it's called it's not just about always staying at the top of the serp it is about actually making yourself a habit so this is the explanation of the math cards and he also told that the 0.6 of the English U.S queries to a noticeable degree unrelated to Panda and Penguin so we see that actually in this part they didn't include this involve this specific classifier inside page frame related and also content related Quality Systems that Google had before it means that it is actually an extra algorithm that that works on the output of this specific two or let's say aggregate a different score based on these two so first before going over all these resources let's move on to the case to the article here let's explain some of these sections and then it will be easier for you to understand I have put all the results to this specific part and I can tell that actually uh in third day despite I didn't use any kinds of triggered or triggering there 80 plus pages are being indexed directly and we have reached out to the 700 clicks a day in the sixth month of the project and we rank for nearly 11 000 queries and nearly 400 of these queries rank between 1 and 3 ranking points or top three rankings and around 1 000 of these queries actually rank for between 4 and 10 ranking at the same time and domain rating score for hrefs is just 4.1 sem rush out through the score for this website is just 23. total referring domain is 96 backlink count is 453. the top ranking competitor here for this exact match query term they have actually 500 and 5700 referring domains and 8 million backlinks and also nearly seven seven million and half seven and half million amount to search traffic second top competitor here they have actually 50 000 referring domains nearly and nearly to 12 million backlinks and 74 millions of monthly traffic so imagine that that you are competing against these two Giants for your own search term and you're able to actually rank in the first page and you go inside actually the second ranking place then you go also inside the top three then also use stay in the second ranking place as well and you wait for a broad core algorithm update another thing here is that I need to tell you that the specific campaign actually I have already stopped this campaign because of let's say a kinds of economical crisis in Turkey because also the big tech companies and all the online recession it caused a kinds of let's say a mentality shipped in the big companies they don't try to actually get the growth at all cost they try they have laid off laid out let's say there were some other conditions that people lost their jobs and other things so that's why we agreed on passive passive buying the project and in this case you will see what happened after we stop using patreon Rank and overall content related relevance or topical Authority for exact match domains then the second exact mesh domain actually started to rank higher than ours so it will be helpful to see that one you should be keeping exact mesh domains active as much as possible and if you don't keep it as active how the search engine will actually replace your exact mesh domain with another exact mesh domain to be able to see these let's say configurations of the search engine it is a really helpful project I can tell and here I also tell that that project had to be seized due to the pandemic conditions and hyperinflation in Turkey along with along with the regulations in the use used car market because of the incoming elections people stopped buying new cars because they believe that after the election the tax taxes will be lower so it was also one of the major effects there the project has proven that exact mesh domains banned the query search needs and change the query context with navigational query classifications basically we take a commercial query and we turn it into the navigational query and the project has been outranked when it stops branding and Publishing new content with higher quality and the project had design and ux issues but the outranking pro project bars and their exact mesh domain I already have told that by the way we have exceeded the 100 100 clicks daily in the seventh day of the project imagine that you launch your project directly and you actually get the of get over 100 clicks at the 70 and this is a brand new domain and I already have given you the actual hdf score and sem Rush Authority score here and we were able to take 100 plus clicks at the seventh day we didn't use Ai and we didn't publish like thousands of pages it was just around I believe 90 or 95 Pages or something like that and they were being indexed directly I have used a few methodologies to be able to do that I will explain them so this is the first graphic here you can see the comparison in this part I don't know what is the date here but at the bottom section they they showed the last three months comparison in this area but I believe they don't show all of the three months because if you check this part it is empty because not that much time has been has passed this is the first graphic part in this area and I can tell you that we stopped the project around actually this section you can also see it actually from the graphic that I have shown you before and this is the overall graphic here that I have put later still it continues to get the traffic actually as you see it it didn't lose that much compared to this graphic I can tell so there are many things here like what are the benefits of exact mesh domains for SEO why do they help us first of all first of all thanks to the exact mesh domains you will be able to rank earlier which means that you will be able to get more historical data if you check our search YouTube channel you will see actually the importance of the search engine trust and historical data check this video to be able to understand these specific concept please including the essential relevancy points on the side every moment which means that whenever we actually have a search query let's say we have a search query here query one and this is your domain name terms basically search engine actually will get a query to query one terms and your domain name terms and they will actually create different types of tuples based on this so basically you will have a natural relevance there directly so randomization of the queries is easier because you will be able to get exact match anchor attacks all the time and the search engine won't be sure whether people search for your brand or for specific queries so we believe the context of the query opening site link on the serp for more serp State and serve originated navigation is easier I won't explain this for now the browser's address bar can show directed AMD while the user searches for the specific query yes this is a unique Advantage there because if person searches for something like this even if just click your web Source once they won't be able to search the query here they will directly actually count this part so you will be and have it easier the autocomplete data and suggestions for web search engine users can contain the brand name also easier too to create a search results contain the web and the parts such as social media account results yes you can also rank your social media accounts for competitive niches thanks to brandonization the Google business profile can appear at the competitive search term with the parent reviews if you have a really good branding at after a point since you are not a low quality EMD you can have your Google business profile at the right side the knowledge graph can contain the brand entity and the knowledge panel can be triggered yes basically the exact mesh domain term it might be an entity or a concept but also it can be a brand which means that actually it will be helping you to rank higher and change the query context even further the brand name can appear in the related search term with the same queries capital letter starting version this is called actually copy Nim or copy Nome in the lexical relations basically or capitalism maybe I couldn't remember exactly but basically it is like using the verge or polish or something like that basically we can assume in this case actually once the Polish here which means that actually it is how can we tell that it is polishing the Polish here is a nation name and when it comes to this specific part let's say yes if you have a local relevance especially in your brand search or let's say branded queries you will be able to rank answer higher for this specific region as well and the brands with your carousels and the video results also can appear if you have a YouTube channel with your brand name and the brand name is also matching the search term you can rank Higher by creating actual activator Carousel and also YouTube video Carousel as well if you have news about yourself you can also trigger actual news about you serve feature too shopping or book section can appear for the competitor terms also faster as well the brands managers or Founders can appear in a specific search term results directly or also indirectly too if you also create websites for your Founders or other types of shows you can connect yourself there directly this is the internal link structure I have used inside the home page and basically these terms here these are the XYZ and we connect all these things back to the actual R context one more time when it comes to the query processing or why is query processing relevant to the exact mesh domains basically here actually we try to get the contextual relevance of every possible contextual domain for this specific query term that may create a topical map for an exact mesh domain then we create a source identity and we'll connect everything back to there if you don't know how to parse and process a query as a search engine does not get me wrong but it doesn't matter which keyword you put inside these sentences because you don't get the context and there are the many different types of relevances like I explained one of them by saying natural relevance actually but I explained it slightly I don't deep dive there but let's say we have relevance based on Concepts which means that the definite the relevance comes from the definition of the concept even if the query doesn't mention it still it will be actually relevant there we also have Lex skill relevance which means which means that based on synonym or not synonym basic about synonym antonym or hypernym or hyponym even if you don't mention it directly even if you employ it still you will get the relevance there and there are other types of relevance more relevance understanding point stars so you will need to process the queries according to that and when it comes to the here let's say Y is entity oriented search relevant to the exact mesh domain as your project two things first of all concept or the phrases in the search term they're already The Entity and you will need to make your brand also an entity as well so let's say in this specific part I have shared this to it because I have written this case very much before there was the image at the top was old and while writing an SEO case study for exact mesh domains a good explanation from Google's first person for EMD at minutes 11 for this episode when SEO goes wrong of the search of the record podcast of Google they the Google spokesperson tells people were exploiting it was the issue basically but they couldn't prevent it still there are other ways of let's say exploiting it and Gary Elias tells directly there that actually people were exploiting the exact mesh domains and we decreased their advantage for rankings did they anyway they decreased the advantage for entry-level seos a search engine can try to match the word embeddings character embeddings or meaning of the word embeddings do not vary from word to word while meaning change tremendously the same word can have multiple different names with different other words thus a search engine needs to differentiate when the word refers their brand when it refers the term the differentiation process can exec can extract mentions or inferred links for the brand I have used this thing by the way probably I didn't explain this before if I go here for this specific project the first SEO case that I have published in the Whitehead SEO industry it is this one and the name in this part the name of this website is actually this which this word here this means which by saying which I mean basically which like who what and which this one here means credit so basically my my domain name here is actually it is one of the exact match domains for certain types of queries but the important part here is that what will happen if I use the word which and also credit close the relative to each other in a single sentence which what possibility the search engine will think that actually this is a brand context so it is like actually like this let's say we also have something like nicotine pouch and with bipolating the semantics you can actually confuse the search engine do you talk about nicotine or do you talk about patch or do you talk about let's say new cutting patch so in this case according to the sentence that you are using the meaning will change if you tell that nicotine pouch is observed you are making a mistake here if you use a sentence like this the absorb thing is not the nicotine pouch The observed thing is the nicotine inside the nicotine pouch so semantics is it's a natural talent for humans but not every human has actually these type of linguistic understandings we usually let the sentences and we usually decrease the dimensionality inside our thoughts or the tallest dreams and we don't realize these nuances but machines have to focus on these things so basically I was playing with this type of wordings in everywhere to increase the relevance of my brain so the search engine actually would need a little bit further confidence score inside the serp to prioritize The Source a kinds of blackhead yes and okay let's move on and when it comes to the this part if you want to use exact mesh domains please open all the social media accounts behave like a brand this is one of the examples there another example here too I explained brand serve and knowledge panel management and why they are important and what are the disadvantages of the exact match domains brand identity resolution brand identity resolution involves a differentiation of a brand from another with its own identity exact match domains causes usage of the same domain name with different domain extensions such as example.com an example.com it does it creates a security issue while also creating a brand differentiation effort from the search engine point of view my point here is that since we all use exact mesh domains Our Brands have the same name the difference comes only from the extension which is not clear which brand has the which website and which query session actually have the intention of visit for which version of this specific domain so to be able to create this differentiation sometimes you will need to use naked links and I guess let's stop links for now or this type of Tricks let me give you about that video and based on these things actually this part is important you will need to focus on a little bit the security section there because your changing will try to protect their users and that's why if you are able to provide the credibility and we will explain the credibility types in this part it will be better for you to actually outrank other candidates because they already have a kind of exact match domain index for many queries and they choose the best Representatives inside the cluster and it means that in the seventh day I was able to exceed the query thresholds among all of these uh already out blacklisted exact match domains existing multiple brands with the same name existing multiple brands with the same name Max SEO of course harder because one brand mentioned can benefit multiple Brands search engine users click another brand in the wrong way and the search engine can't rank always all the exact mesh domains it will create an embracement for that in other words they will be embraced or embarrassed I am not able to pronounce it correctly but basically it wasn't good for their Prestige if they always rank the Branded search term domains so this one also they will need to protect their IM image or Prestige while while putting a threshold so let's say we have 10 exact mesh domains that they try to rank for a specific query term and let's assume all of them are quality so Google will rank them just because they are quality and also secure and let's say popular and they are all legit they wouldn't they would be confused and they will think that actually they are being tricked there and they will choose two or three of these clusters as the representatives and they will try their chance with them but they wouldn't rank all these 10 even if they are the most quality 10 sources for that specific topic and also even if they are legit so whenever we have two three four different types of exact matching domains in a specific topic that are already ranking the fifth one will have a higher threshold to go inside there and usually since they won't be able to rank While others also rank they will need to outrank one of them so it means that the other one will be the indexed let's say not it won't be served for these queries likeness of brand identity awareness likeness or lack of brand identity awareness is a long-term obstacle for EMD brand not having a brand identity can decrease user retention to Brand other queries search demand and the Brand's prominence to the search engine to differentiate the brand from another using better ux elements or truss elements logos Motors Events event newsletters or only Channel marketing strategies are necessary increase brand building and marketing cost brand identity appearance and identity resolution and multiple brand name competitors create an increase increased marketing cost marketing cost involves differentiation positioning and brand identity building process cost exact match domain SEO efforts and brand building effort should work together so these are the disadvantages or let's say obstacles for us and why information for aging is relevant to do let's say exact mesh domain I explain information for aging before it is the art of not art actually it is a science of constructing a search engine result page in a way that we can satisfy more users with a higher score or higher relevance or confidence which means that actually exact mesh domains they might increase the chance of actual dissatisfaction that's why they are actually more cautious for ranking these things especially labeling these genetic terms as branded query and what is the relevance of exact mesh domains to the embarrassment factor I believe I explained that if we construct a bad search engine result page we will get a little bit impressed and this is our domain of mad Cuts here and from 2010 maybe I don't remember exactly so here's the face on temperature and also the YouTube for the company the power of keyword domains to someone looking to take decision what kinds of domain go for and here they explain or metcon's explain actually these things like bioviagra.com or other things since he was an expert for adult search in Google and it is the story of how mad cause actually started to be an anti-spam person in Google directly he goes examples for this type of things having keywords in your domain think about some of the big successes that are Zynga nothing in that domain and so and say social or gaming Etc activity or Facebook Google and Yahoo so he basically tells that go with The Branding or have brandable names rather than queries he he's a helpful person but he doesn't explain everything there so in this part actually I explained the background of the case study with this type of key effects and basically here the components are brand value brand historical data and justify it relevance Justified relevance here means that you can't be relevant just because you carry the name of the query inside your domain name you have to prove your relevance inside your content actually by constructing different contextual segments for different query contexts as much as possible and in these sections too we have the metrics as you see the referring domain Etc they are pretty low and in this section as you see the specific Source here these are different uh screenshots by the way but this is at the seventh rank at the beginning part of the project I can tell in this case we have only three thousand queries and this is I believe one of the screenshots on that era and this is this I guess seven day or something like that I have shared this project in my Twitter account once uh in February 4 I believe and this was a Dell dialogue directly inside uh the Facebook with the mat and I believe he asked me how many pages I launched initially 40 with zero links then 30 other came lighter so since I did the project very much before I don't remember the exact accounts right now but since I have written the article very much before the numbers are here and this is a screenshot from that specific point or the moment and these are the results also from that era and this is from the sem match this is from actually like probably a few lights a few days later than this specific one so you can see how it actually goes in a steady way so we have reached out to the 120 daily Clicks in the 11th day of the exact match domain SEO project with a high competitive competitive term and because the term is by the way I didn't tell but it means how much my car is it is one of the really competitive terms imagine that everyone tries to sell their car to protect the value of their Network and they usually search for how much my car or how much is my card or what is the worth of my car basically it is an important term there that we needed to use it and to decrease the cost of retrieval which we I will be explaining after launching my book and we had a better web page layout compared to the con competitors we also create loaded our own WordPress team and we increased actually the total curl efficiency by using a kind of limit for the total link count per web page and we also did prevented many things from WordPress since it is not that much SEO friendly for certain types of things like tags or read more type of things and to create a brand value LinkedIn account Facebook Instagram YouTube channel have been created as search engines indexed them the CSS and other types of resources because count is limited typography has been adjusted in a brandable by a context relevant homepage has been designed synonyms of the exact match domain phrases are used to open similar but new pages these synonyms are also branded brandonized too in other words imagine that there are other ways of asking how much my car is question and then we have also used these terms for being relevant to sometimes we also open new pages for them as well and we also use these other synonym phrases for our exact mesh domain as alternate name or motto of our company so in this case actually we are approaching the same query from different stages let's say this is the exact mesh domain query let's say these are the variations of it and in this case we target the main query with our domain name we target the second query with our motto let's say we target a third query with our alternate name or with a different section but at the same time we open new pages for them or we try to create a different contextual segment in our home page for this specific one and we support these things with other internal links engagement tools and also branding and also page rank as well so it is a hard situation for search engine to tell that okay this is not relevant because we are justifying the relevance from every angle as as much as possible only thing here is that you always add a brand brand or navigational query context to the existing Search terms structured data is also used internal links are optimized and the search parameter URLs are these are Load log file analysis has been actually performed and other things I have been I have written here this is important by the way please have an about us page if you want to prove that you are actually a kinds of brand these this I will leave a comparison users and sessions data for the initial sections you can also see it and I believe this is a later screenshot I have written many other things here read it because there is there are some important nuances here like treating users from chrome browsers or Google DNS addresses is possible basically Google actually is able to follow you if they want to follow you and it means that actually if you have a ux issue on your page or something like that eventually they will be having that data and you can we also have used Crux or Chrome user experience report for these type of sections as well and to provide the best possible user Behavior patterns and the satisfaction a car value calculator has been designed for the attributes below yes we have designed a tool in the home page basically people were coming there for using the tool and car brand car model year or I have written this two-time story and card body type card gear or full type or fuel type or damage situation all these things have been written in there for evaluating the car value and at the same time homepage targets the canonical query I have explained what canonical query in these query semantics and also query processing as well you can check it and landing pages Target the represented query the landing page has a web app as well homepage doesn't have a web app the landing page has the home page phrase on it the home page doesn't have the landing page phrase on it so we actually use different types of let's say uh combinations of the phrases based on phrase based indexing principles if you watch the previous videos or some of my case studies you will get phrase based indexing in a better way to understand the represented query and Chronicle query read the ranking signal delusion and ranking signal also ranking similar delusion is the process of diluting the ranking signals by creating conflict conflict between web pages even if you just read actually search for it ranking signal let's say delusion you will actually find this document from me this is a case that I have written based on actually one website e-commerce website in turkey and you will get it many things here the website here is actually a to be honest this is an adult website a condom selling website and they have many sponsorships also with other types of adult websites too and you will see the metrics directly here as well and I have explained the process here and also this is important too if you have a tool in your web page please put it into the largest content div directly and we have also represented car value calculation processes inside the design and also the contents itself as well and we have put interaction triggering signals inside our JavaScript like event listeners or other things so search engine can directly see input areas steps for calculation and attributes of these calculation sections they are all relevant to the old car models and other things so if imagine that you have a tool for car evaluation or valuation but you don't have every brand or every model so basically the satisfaction possible available lowered which means that actually your exact match domain doesn't have a solution for every user which will decrease the click satisfaction possibility while increasing the embarrassment possible ability or embracement possibility for the search engines and not always you need a web app by the way if you don't have a web app and here we have the possible parts of the cars here it says original and damaged or painted or changed parts we talk about insurance or other things in this area and these are the steps when we have all the combinations here and you don't always need a web app but if you don't have a web app use a form for instance but in a way you will need to create test engagement as much as possible and uh yes this is also important optimizing internal link circulation basically circulation of the internal links and all the anchor text that you are using they will need to be around the home page functionality as much as possible these are the initial metrics and you can see that actually everything goes back to their home page and home page all of the Rings for something this is the first synonym phrase and it is the second home page like I think and these are kinds of quiet and there are some other things there like reviews and Etc I mean you can check these metrics as you want later for now I won't be touching them and also even if it is really less we always actually used social media rankings as well and you can see these type of metrics here like different brands and again these words C which and it talks about Fuel and it is connected to fuel types as well you can check the topical map of the source and we also used by the way misspelled versions of the exact match domain terms with different variations we also represented the same thing in the logo Etc but you can ask these questions [Music] a search engine or you can let's say which questions a search engine can consider to compare and test exact mesh domains for ranking and I have generated some questions here in La let's see actually how detailed they are what would you do if you were a search engine are these two websites about the same thing because there might be two exact match domains but they might be about different things are there two websites from the same brand because two exact mesh domains they can focus on same thing but they might belong to the same brand as well and and this is a topic actually for multicide ownership which is a topic also for pbn pbns are these two websites relevant to the same phrase so let's say we have the same words inside our brand name like ABC the important part here is that a b might be a separate concept or it might be a and b and c so it is hard to understand work sense or word borders sometimes even if you have the exact match domain it might not be exact for every query processing process is it is and also you will need to understand certain types of let's say misspellings even if the letters are the same the brand name might be different do they use the same logo so they have the same typography do they have the same IP hosting provider analytics ID are they registered into the same Google search console account do they say do you use do they have the same Gmail accounts in the visit Pages they take the visits from the same internet service providers and regions so they use the same GS and CSS files they use the same layout margins paddings are their CSS class names have the same are these Brands permanent for instance if there is no historical data it will be harder for you should I rank both of them for the same web page would it be embracing for a search engine would users like it should I choose only one of them as representative for other one should like transfer one of them as authority to support another one should I shoot a search engine rank every exact match domain if these two are successful let's say two of the exact matching domains are were successful and what will prevent you to ranking from the third one should a search engine rank exact much that means only for car related queries for instance for other Industries it might not be the same should a search engine rank every exact match domain only for this language so if we have two main exact match domains that are unsuccessful for a group of queries search engine will be actually more skeptic since they won't bother themselves for spending further time there they don't have to prepare you always does it work all these costly questions is there possibly that one of the there is really a brand does anyone search for these Brands what should I do for every two brands that have the same name and even if the domain name is different still the brand name might be the same as well we have these situations too do they have the same CEO are the same names on LinkedIn appear on the same brands do they have any news mentions do they have any links from new sources to the third party independent sources mentioned them should I add both of them to the knowledge graph should I trigger two different knowledge panels for a lot of time should I rank both of their logos on image search do they sell something do they accept members they have some show social media accounts so they have a real world address so they have a food traffic food traffic means that real world traffic are there CEOs really experts on these topics or how do other search engines rank these sources when they are linked the first time when they are registered for the first time do they have a company SSL or free SSL do they have a real world entity reference from a legal department or directory so they have a voice a face that can be annotated with them which one of these brands has more authentic content which one of these brands have satisfied queries better can they be better than others for these queries are there tenure returning visitors do they have navigational queries are their domain extension by saying navigational queries like login to X or X calculator Etc are there domain extensions good enough to differentiate them like single letters will pay a little problematic sometimes is domain expansion extension part of their identity because sometimes the extension of the domain like vava that cars it is part of the domain name and has a brand name as well so that's why extensions are also important so these brands with the same name and Target an exact match query with their domain names inside others to do the same this is also a problem because as a search engine if you rank exact mesh domains you will be inciting others and this was the situation that happened here as well and this is another graphic from the situation you can see the uh by the way this is the second I guess exact mesh domain you can read it and this is the comparison one of the competitor used on.net after us we were using the that call and you can see the domain rating differences too basically according to the ashrefs all the numbers at the right as you see it is actually higher and at the beginning after we specifies the project we were ranking higher for the specific term but still we take way much more traffic for multiple commercial terms as well because in our situation we focused on synonymizations as well and sometimes it created a little bit cannibalization but it is sold thanks to the let's say uh overall comparisons or internal links and here you see the dot Co and that net you can see the difference between them according to the ACM rush you can see also how the competitor was small actually so you can see the differences there and this is also competitor as well and one important thing here is that this is the first indexation moment of them as you see once they are indexed the director they started to link the web page or the website it is also important to know that linking exact match domains it is tolerated more because we are linking your brand at the same time and linking your brand is normal you can link your brand from Brand terms generic section is problem and your generic term if it is a brand name you are safe or safer and key points for completing the multiple exact match domains to each other exact match domains can share multiple different brands with different character orders and sections exact match domains can share some brand identity and brand mentions for instance let's say someone mentioned your brand but didn't link but it's not clear whether it is that code.net so it will build an issue that I am trying to tell exact mesh domain success can affect each other if one of these sources are not quality enough other one will be affected from that as well because they are pretty close to each other it means they will be clustered together one of them is the representative I'm on an exact mesh domain can transfer its outward and Link value proposals to another one after a certain amount of time and this is about actual document to represent representation again search engines hesitate to rank amds due to their overall usage purpose and AMD has to behave as a brand to be able to complete its Authority than any or compete at the same time and AMD has to beat other emds for the same phrase before ranking on the third properly Dimension link content and branding numeric needs can be measured and calculated based on the failed emds and it is the situation there I actually have searched the presentation that I have performed to do authorities of this brand or the company and there are many many many failed emds for this specific term I found all of them I have taken all the common parts for them then I actually exceeded thresholds directly and I have told them directly that you will need these type of links this amount this type of content this amount then we've just exceeded thresholds and continued so take these things they take these statistical signatures and also document features and classify them together as the search engine does so we have these technical SEO points here you can check it and there are some important parts there this is a patent from body shoe Excel which is a Turkish as much as I can remember and he talks about a surprisingly surprisingness score and exact mesh domains they are highly relevant to the local SEO because we try to rank our brand for its brand name if your brand name has too much stuffing terms let's say you have a domain for exact mesh domain term and also its synonyms together if you keep the domain name so long or if you keep the domain name so irrelevant to the other terms it would be a problem so that's my domain name is a factor of relevance plus also ranking and here the surprising link scores actually talks about Sacramento Sacramento Hotel locksmith so what is the possibility that we will see the word Sacramento lock cement and as a hotel together inside a domain name or brand name or business name it's solo which means if it happens you will be exceeding the surprising links course which means that actually you won't be able to rank further there it is about that that's why while you are trying to use a local relevance to not exceed these surprising links course threshold and when I published this semantic SEO course you will need to use these specific understandings okay because I won't explain these things one more time time there I will just move on to the practice if you ask me why I have chosen that question that answer that list that table that anchor text or that specific order of the sentences or order of these attributes why I have skipped some of the queries why I have actually used some of them you will need to remember these things as much as possible because I want to focus on only the action in the course not the theories actually this is not Theory two we have implementation basically based on these research papers to provide better local search productivity and optimization while supporting the web-based search performance an exact mesh domain shouldn't trigger a high level of spammy surprisingly scores this is the message of this part and semantic SEO has been implemented for exact match domain as your case study a topical map and some other content Network have been created and configured to a topical map Authority topical Authority and support the brand value with brand relevance to the topic so this is important because our brand name is relevant to the topic at the same time the contact network of our brand is also relevant to the topic which means that actually we are overlapping the topical relevance to consolidate our ranking possibility even further and further and from e-commerce exact mesh domains to the aggregator or folate exact mesh domains semantic SEO is part of EMB SEO how to create brand value for exact mesh domains there are many things here but one of them is actually creating brand search demand creates prominence for the specific brand a diverse fight user profile with the real selections selection here means touch click or the brand from the serp and diversify traffic sources can increase the brand search demand and value I didn't explain this positive query logs means that in during the query sessions the people actually leave satisfaction signals external link references mentions link reference means that we are linked but we are not mentioned mention reference means that we are mentioned but we are not linked or maybe bought parent entity accounts from socials basically we will definitely need social media existence and the phrase Association it means that specific phrase will need to be connected to entity and entity will need to have two profiles as a concept and also as a brand and of course topical Authority and these are the results from I believe the the Microsoft pink I can tell you that in the Microsoft pink we had some issues but uh I can also tell you that they are really stricter than Google they don't waste their resources for even the possibility of spam even if it is not so before in my actually 2023 SEO insights too I told you that because of the AI and automation right now if you publish 5000 content a day search engine Google will actually demote your Source even if it is not spam in Microsoft they just removed the website they even don't bother themselves for further checking but you can contact them and they can remove the uh let's say the motion and they don't tell I'm sorry as well I get them so in this case why does a search engine spokesperson signed an exact match domains don't work despite they actually work because they try to protect their users and they are trying to manipulate you and also sometimes they are also being honest because sometimes it doesn't work and protecting the webs web search engine because to be honest their company is more valuable than their users for them and decreasing the spam effort and also being tired to explain how many times they can explain that and this is I believe total URL count after a point in the post section you can check it and these are some of the links that are used or that are basically used in a natural way and here we have let's say internal links structure after a certain amount of time you can check it one more thing is that I have used index now when it comes to Microsoft Bing it is indexed directly this was one of a test websites but they didn't take the exceptions for instance at the beginning one more thing is that one more thing is that even if I choose a second page third page they were telling that there were 17 results but they didn't give it in the second or the third page as well so they have a different Constructor there I can definitely tell you that as well and I have explained these things also in this specific article too and misleading exact mesh domains and raking algorithms if you read this part you will actually get what kinds of precautions the search engine actually can take and especially at the first indexing stage you might not see that the search engine is trying to actually block block block block block you but after the re-evolution it can happen believe me and these are some of the technical SEO metrics and after that I can also tell you that since we go to the team WordPress team by ourselves uh it was one of the purposes of actual Authority point of view too because we have given the name of our brand to the team as well it was completely unique which is a signal for Branding one more time and these are the metrics for crawl data as well and in the semantic content Network by the way you have to take your brand name to the center which means that your tool will be at the center your every content belief actually will need to come back you can see that our average response time was bad it was one of the issues there as well yes they help for indexation if you provide quality do exact match domains out for indexation I was telling yes this section is important and I will be explaining that then I will moving on to the actual research part so query independent evidence in home page finding so what does query independent evidence mean it means that actually any kinds of relevance point or factor that we can find it is not relevant to the queries it is relevant to your internal factors like your own words your own internal links and Etc and why it is important to find a home page we usually inside the website structured we have two different website structure one is let's say organic the other one is inorganic if your website is an organic website you will have an organic or natural website three in a way that it makes sense semantically in organic size they don't make sense in terms of subtraction and usually they might have even multiple home pages that they don't realize we usually assume that if we have root domain here this is the home page from a search engine point of view it's not the situation sometimes even you can tell that when you search for sites sitex.com some of your sub Pages or category pages that you can even outrank your home page there and one more thing is that the pages that are linked more than your home page the pages that have more connected pages to themselves rather than your home page the pages with higher page rank than your home page the pages that we have has more traffic than your home page Etc basically they or basically say they might be seen also one of the home pages there as well and it is important to understand when actually specific query means a navigational purpose let me explain like this let's say we talk about is calculated and this is a query and this is X calculated from y this is the document one and let's say the click to do rate for this specific document is 99 percent if it is a situation I can tell that X calculator query will be classified actually as navigational because most of the time people actually mean you which means that X calculator will be a synonym with your brand name directly it would mean that this specific document 1 it will be actually your home page there is well if you get really good amount of traffic there it will be the most functional and most important page for you and if probably you will be able to support this situation with your internal links as well and the internal link section there it will be query independent evidence there so that's why finding your home page is important and it's not always that much easier to find it so we found that the document comes from Tristan upstill you know that I am fond for for his work and we found that in optimal conditions all the query independent methods studied uh whether page link whether in degree URL type offered a better than random Improvement on a content on the Baseline so rather than checking the content only the page Rank and the URL types they were more important however only URL type offered a better than a random Improvement and an anchor text Baseline in realistic settings for either Baseline only URL type offered to consistent games in combination with URL type and anchor text Baseline was more useful for finding popular home pages but URL type with content was more useful for finding randomly selected home pages we conclude that a general home page finding system should combine combined evidence from document content anchor tags and URL type classification and here they explain the structure in this part this is the comparator by the way they also lost some of the traffic after they also specified their project because of the same reasons and in this part actually we have some explanations I explained what annotation text is which is the text around your anchor text it should be aligning your with your anchor text as also the query variations to show the relevance even further and uh I have explained also list wise algorithms too but I will explain them in the research part a little bit further so if I continue from this specific section or let me just read it it will be easier for you to get it in the research part so the ranking and exact match domain for a query makes it hard to rank for a second exact mesh domain and there are multiple obstacles here to understand understanding whether the emds belong to the same brand whether they are different brands whether the domain extensions signal a different brand name or not annotation text around anchor text external reference on social media account search behaviors design differences color palettes or click satisfaction scores in a query looks like query log sessions effect and help to determine which EMD should exceed the threshold for the association with the query and T this specific core domain and the specific.net domain compete against each other and thanks to overall topical relevance and Authority along with the page rank increase and bring signals both of the emds rank successfully lastly a list wise relevance algorithms might help emds to rank higher if one of the emds is successful the search engine might rank the AMD social media accounts or its other similar examples by assuming it is related to the brand or it will be satisfying in the same way the point wise list wise payer-wise relevance algorithms are different relevance calculation algorithms for information reticable systems we will explain them and both emds show similar search Graphics because both of them stop being active after performing a certain amount of success Google uses pairwise relevance algorithms and document clustering for varying calculations with lower costs and faster speeds because having relevance calculation and overall quality scores for one of the domains helps to assign it to the another closer related one and its correlation creates similar search performance metrics and changes over time the only good difference between core and net emds is that one of them focuses on synonyms of the specific exact match query term while the second ENT has a narrow focus on the specific query only this creates a topical profile difference between the two emds because one of them actually has a wider let's say content Network there and to comp compete against an exact mesh domain with another exact mesh domain the website update of the Google uh Google and synonym terms along with asymmetric topical Maps between emds should be used to exit the association thresholds for the query levels and contacts from the generic informative actionable and branding verticals so these parts are this section is a little bit important because when I say actionable I mean instruction like calculate informative section is for actually learning the generic meaning of the term branding vertical there actually means that we just go for a resource for the brand in other words if I put the query here and I say there will be three specific contacts for the specific query one of the contacts are actually about brand and another one here will be about just let's say action this one here actually will be about let's say generic information and from this specific query let's say query one to do your brand or exact mesh domain one let's say you will need to be able to connect it to all these three contexts via this specific query term as much as possible if you are able to match yourself from every angle you will be able to rank higher and while doing that if you have one more brand here let's say B2 brand 2 exact mesh domain for the same thing in this section the score differences from these specific Parts they will be creating a kind of let's say representation choices choice between them and the pairwise relevance means that we get a document we get a second document then we pay them based on similarity if the similarity score between these two things is 95 percent and if this is the query one and it means that if it is ranking for let's say x percent for this aquarium and it is the score for this one we will assume that 95 percent of this score will can actually be assigned to this and satisfaction will be nearly same or similar that is about the pairwise relevance there and here the treason app still explains that at least 60 percent of the queries focus on finding a specific named entity and serving the home page for the specific query won't be satisfactionally since actionable or information point is not served on the home page but since homepage is the highest bench rank web page on the website and it has all the possible relevant terms for the query term that involves the entity how this problem will be solved this requires understanding how exact mesh domains work in the eyes of search engines so that homepage can rank higher from all angles I can tell that from my point of view this is the most valuable sentence in this case study because usually the person here tells that 60 60 percent of the query is searches for an entity and entities are Concepts and usually the search engines try to rank most relevant until the highest page rank web page as a home page for these ones here but the problem here is that home pages they don't have enough information or action tools there which means that they are actually ranked maybe they are ranking their correct website but they are ranking the wrong page from the correct website so to prevent such a situation they need actual multi multi-functioning home pages an exact mesh domains here they have brand value and they are making users to search themselves by triguning a little bit let's say The Branding value there at the same time they have the tool directly so which means that actually search engine will won't need to make that calculation that much they will have the enough level of confidence for ranking the source and here the conclusion section of the tracing apps the research for home page findings were named entity query styles that focusing on page rank URL types content related aspects of the relevance Threat Level from query dependent and query independent ways is helpful to improve the quality of the server results thus exact match of domain exact mesh domain SEO should focus on satisfying all query dependent and independent aspects for being relevant and satisfaction satisfactory for the specific queries in search engine optimization practices an ideal home page finding system will be able to exploit both anchor text or Superior performance and when targeting Popular Science and content information to ensure that homepage within in adequate anchor text are not missed further work is needed to determine how to optimally combine all sources of evidence for the homepage finding task and how to provide best all-round search Effectiveness when home page queries are inter inters parsed with other query types so basically this section here explains to me what I should be doing and this is this was the end of this specific case study and I can tell you that this is probably the most detailed exact mesh domain is your case study and quiet that have ever been written and inside my semantics your course I will be explaining actually how we can use or create topical maps for exact mesh domains as well since I have written this thing for very much before I couldn't change the image yet so let's start from the research Point here as I say I have already shown shown this to you and I can tell you that even for the last years people still ask that what is the 2020 good ranking weight for emds or exact match domains I can tell you that even I have seen some friends of Bill slavsky they believed that exact mesh domains don't work I was surprised to see that and I have seen many white had SEO edits on Twitter they believe that exact mesh domains don't work either but I also believe that pbns don't work too despite that so that's why I'm trying to tell you that just test it and just try to understand these things so these are these are some answers from uh most Forum actually it will be good to have these form more active because I believe tibeter is too toxic and too noisy so it will be good to have actually a better sharing platform as before and it will be useful for everyone so I will close these two here and here we have actually an ordinary article from the past where they talk about penguin by saying pass I mean really past like maybe 10 years and here actually they tell that listen to Google and do not use exact mesh domains this one here this one here I have shown it in the previous videos but bring order to the web objects or object level ranking basically from Microsoft it actually explains the let's say enter attribute pairs for query Association or constructing the web objects they call entities on the web as web objects and in this part actually you can understand how you can actually change the attributes of the specific entity if you want to brandonize the specific query as well you will need to use certain types of phrasifications in the document so that you can change the statistics inside the documents as well and in the coming the I the next video will be about actually an SEO campaign for a celebrity because the person was an ex-wife or a media boss than the media boss slandered the ex-wife then we needed to fix the brand serve for the person and it is nearly the same structure but this time not for or an exact mesh domain this time for actually a person but the websites also like Zack mesh domain because directly we have the person name but we need to give different angles and verticals to the person so that's why the next video will be completing this specific one especially this section is important the this outer paper journal or auditor person and person might be a website person person name might be a website name person name might be a Also let's say a business name as well or a show name as well and you will need to create these different angles so that the Slender can have less coverage or less possibility of satisfaction okay so in this part actually I have oh sorry I I would like to show you the titles of the before the 2016 anyway so this is an article from 2012 as you see when it comes to learning SEO you don't have to check the Articles from last week you don't have to check the tweets of last week you don't need to check the news from last week or last year even you can go 10 years ago and still you can learn it and here again we have met cuts and we have different types of emds like keyword.net keyword.org or different sections here and I like this explanations here and I can tell that the old most articles they were really really good and also the uh 2012 it was a golden age for a blackout so it's normal but basically this article I can tell despite Google's propaganda at the beginning people were more skeptic and these profile picture I believe it explains a few things there but [Music] let's say at the beginning they people didn't support Google on this subject that much so I'm happy to know that so I will read this because this document here it is important it is about this is actually not this sorry this is also a a regular article and here too I would suggest you to check this type of Arts Because by the way as much as possible because combination of these old articles from 2012 from 2014 it will be showing you to actually all the historical experience of the SEO Community for the specific subject psychologically and also from experiment point of view and as much as I can see that uh I can see that actually Google was affecting people uh slowly or in the overall time we were we will see that actually people will start to talk like Google so I didn't like that effect as well but you can see it in this part as well this is another website that actually talks about the same situation from a different angle they actually explain that you can use it but still we see metcals inside this article too and then we also see that it might be a little bit dangerous so slowly actually let's say they change the situation but at the same time this was the age of uh beginning of the Google Google domination so this is a little bit a little bit let's say three-minded era of the search engine optimization expert so I like it we have another article from Glenn gape you can also read this article too because when I do my own projects or when I create actually my own let's say uh strategies I read articles from 10 years ago 15 years ago you as I say do not focus on the latest articles and the overall quality or aggregated quality of the latest SEO researchers they are not even good so focus on these type of things when it comes to here this one exact mesh domain is an unfair ranking signal and here actually it is also explained well by the mil slavski too and identifying commercial queries it was one of the actual relevant patterns I will show you the patent as well and here they actually explain what kinds of commercial queries wouldn't be appropriate for exact mesh domains what kinds of queries will be actually better for them if you check the names here systemat methods for detecting commercial queries and it is important to detect the commercial queries especially for exact mesh domains check the name metcals at the beginning of video I told you that a person can be a spokesperson and also let's say an answer and also inventor and also an engineer metcals was all of it and we also have another name here which is Amit single which means that definitely they have used this patent and if you just read here too the system May generate a list of query patterns of a first type then receive a user query and determine whether the receipt query is a query of the first type based at the learn at least in the part on the list of query patterns and once we have that we try to actually see let's say it is very common to see domain names that include a single hyphen but when two three or more hyphens are present this is often an indication that these domain names are suited with the companies that are attempting to trick the search engines into ranking their web pages more highly so domain name is important and it's true that if you have more hyphens is normal to see that so that's why if you're using that info domain that XYZ domain 2 at the beginning search engine will be skeptic it might affect your initial rankings or time to rank for example assume that the domain name list include domain name by Cheap credit cards online server may form the following blah blah blah and at the same time you can check this patent as well even if the pattern is old the article was relatively new so it was also surprising too and you can check the apartment as well here so I have read most of the parts but I will suggest you to check these tables especially best credit cards query list an advertisement list and domain name list and host name list and also competitive query lists short circuit word list so again the sex mortgage free type of things are here so if there is a combination of these things as I have said in the surprisingly score they will be getting these specific type of words directly and let's see some of the instances here too in some instances an owner of the search engine may allow companies to buy phrases or keywords to guarantee that their advertisement advertisements show up highly via Banner advertisement when a search engine search query is received by the search engine containing those phrases or keywords these phrases and keywords may be stored in the database that is associated with the server in one implementation constant consistent with the principles of the invention the list of phrase or the keywords obtained by the server in act may be retrieved from this database of Advertiser phrase and keywords my point here is that they can use PPC people's input for also spawn detection too because it means that these are commercial queries that's why they are paying for ranking these queries so since they are not able to label their own queries based on the search sessions they use PPC people's behaviors and this is one of the ways of using that so try to understand engineer capacity here that's why it was important I can close it sorry and this one here too [Music] the article here it says exact match domains may not care the way that they previously did and do you see this stupid LSI keyword word here too and this is an old article from word tracker and again met cards with a single video effects them and usually most of these articles are written by people that don't do SEO these are paid articles they are all industry and paid people for writing they check what Google tells and they write the same thing here with a possibility so that's why I'm telling that old articles were better from the same website that I have shown previously two it tells that site-wide connections they became eight and they are being shown mostly actually exact mesh domains like credit cards that come so it is one of the important aspects there and it is 2007. as you see so also it is one of the important sections to think about that so this is one of the important parts at least from my point of view but it's a new article from our dear Bill slavsky and basically I would suggest you to actually check this research here persuasive computers or perspectives and research directions because that will be connected back to the actual Stanford web credibility section it will be helpful for you to check it and Microsoft paper on web credibility too we will be checking that as well and using actual displaying reality credity or correlated features this part especially correlated features is important for the map reduce methodologies mapreduce means that they are taking all the instances and they take extract the features from these instances and then using simple algorithm on that and on-page features here spelling errors number of advertisement domain type common go is SC Etc and off-page features again avoid certifications toolbar page rank forget it for now and let's say sharing information from sites like but but leave Facebook or other shortened URLs because if there is no any kinds of shortened URL for your website it will be a little bit problematic to be honest and user aggregated data about your website they will also show some credibility at least according to the Stanford and if I open that open this one here actually this is since I didn't order the documents it is a little bit issue but I would like to show you this one first it will be easier to explain so this is a wired interview as much as I know the Amit single he has given only two interviews this is one of them and is a core interview and it is from 2011. it is really important because where we did see these two people before in the patent they were trying to understand commercial queries together and metcals did an explanation a video at tweet and also a blog post about it and at the same time I mean single he has given an interview and also he was on the patent as well and he is really a high level of engineer there and also manager so that's why actually it is important to realize that they are using the system I will be reading some of these sections because if I just read the last sentence actually it will be giving you some ideas I believe so let me just they were talking about a few websites here for instance here wired.com says I spoke with someone yesterday who runs a site called Suite 101 his rankings have tanked and his keyword traffic is down 94 94 percent he says that it is not fair since he commissions and creates his own articles and contains the quality is high cut says oh yes Suite One 101 and I have known the about it for years and so why did this guy take much bigger hit than the demand media socast says I feel pretty confident about the algorithm on Suite 101 I won't call single tells I won't call any call out any website by name it is important here that because single is usually a background person cars is on the front he is a spokesperson that's why he gives directly his opinion but when it comes to single he direct tells that I won't call any website by name so it is a warning actually for the other speaker here and however our classifier that we built this time does a very good job of finding low quality size it was more cautious with mixed quality sites and because caution is important do you remember that at the beginning video I told you that if you just directly cut out certain types of websites you will be changing document statistics which which will be affecting other types of website's rankings too it will be hard to actually actually fix things again so that's why they always need to be cautious so would you say that these guys sorry but we figured out what a low credit side is and that's you and cut size in some sense when people come to Google that's exactly what they are asking for are our editorial judgment and usually medcals tell that we are expressing or let's say he tells that our algorithms are representations of our editorial judgments they are expressvia algorithms when someone comes to Google the only way to be natural is either to randomize the links or do it alphabetically if you don't have ability to change how we rank things to write improve the search engine that goes right to Crux of everything and cuss is referring is his search natural to agreement proposed by Google's Force and which contains the company should accept oversight to make it doesn't play favorites and in this case actually single size I can say categorically that money does not impact our decision as well and we hope that and in the next part too they actually talk about exact match domains one more time and here actually the single test that people were exploiting that so we have played with the algorithm one more time and you if you read actually this specific interview I believe it will be useful for you and they talk about actual sperm detection and other types of things as well it will be helpful for you to see how they think and if I read this part 2 it will be useful I believe for instance in the Plex book it was popular since then it will be useful for you to read it still and what's the code name of this update and the settlement of the search engine land he wasn't a googler since then has been called calling it farmer because it's apparent Target is content Farms so I have written an article for Content Farms right now by telling that actually they are coming back you can check this specific article because if I read this content farming and content Farm I have explained what they were and now I am telling you that they already returned thanks to AI I'm creating everyone create them on YouTube we have many content Farms they are making millions so we all have these things and these and what actually we call inorganic science structure as well so I can tell you that actually it will work in a good way and here if I check this part one more time so well we named it internally after an engineer so this part is important because they are told this is the era that we don't have a name for panda or Panda update or Panda system basically and it is already retired but we named it internally after an engineer when we will see who this engineer is his name is Panda this was the first instance that Panda update has been announced with its name internally we called it a big Panda they call it Big Panda because there are two Panda two pandas in Google Panda and biswant Panda so if you you can check it by yourself to understand which one is bigger of course the one inside the patterns and he was one of the key guys he basically came up with the Breakthrough a few months back and that made it possible so we did we did caffeine a major updated input Google's indexing process by the way the person who praised the cafe and also the person who analysis it and takes the pattern one more time our index grew so quickly quickly and we were just scrolling a much faster speed when that happened we basically got a lot of good fresh content and some not so good the problem had shifted from a random gibberish which this pump team had nicely taken care of into somewhat more like written Pros but content was shallow it was like what's the bare minimum that I can do that's not spam it's sort of felt between our respective groups and then we decided okay we have got to come together and figure out how to address this so this is a good interview you can check it from exact mesh domain point of view they also talk about them as well at some certain points you can check it it will be useful for you so when it comes to here we talk about actually page rank as well the owner of this invention is lovren's Page who is Lawrence Lawrence page of course Larry Page which is founder of the Google and this specific document actually they talk about the relative importance of a document based on the reasonable server model but they don't mention it as the reasonable but they mentioned actually for what percentage of the time people actually use it proper relevance or probability of Click Etc and this part also explains that actually based on what the page link will show the quality based on what it should it will be showing actually only the let's say popularity and based on what actually it will be showing uh the brand value as well and there are some example queries here like University weather or Jeffrey or Moon and once we have these type of queries we have some results screenshots from Google with certain types of information like the size for example and we also should be having the page rank score it's somewhere as much as I can remember we have some results from Altavista since it was important back rub here it is the original name of the Google that's why we have backup here and if you check this specific document at the beginning text you will see that actually how the basic definitions of the page rank has been done and how it can be used actually for brandonization of the queries or for changing this changing the meaning of them one is popular content that is pages that people like a lot and add to their public bookmarks or otherwise mention on their Pages good examples of this category include things such as search engines like altavist or popular websop operas such as the spot Port of the which have high page ranks and large number of backlinks a root of a hierarchy also tends to get a very high page rank because all the nodes in the hierarchy points of it and as do many other people because it is the root and you can rely on being there and being a good place to start navigation again it comes back to the navigational query is one more time and Commercial query and navigation query distinction and also finding home page in a query independent way so it will be good for you to check it when it comes to here this one [Music] yes this is actually that specific one uh yeah this is about the credibility I will read this part for you that there are four types of credibility according to the Microsoft you will need to use all of them one is presumed credibility it comes from trustworthiness of the domain identifiers like government let's say surface credibility it is right from the inspection of a site is often based on a first impression that a user has a has of a site and is often influenced by how professional the science design appears earned credibility refers to trust apps established over time and is often influenced by a site's ease ease of use and stability to consistent provide transport information reputed credibility refers to third-party opinions of the science such as any certificates or divorce or the site has won and we have further explanations for all these things and contents itself also shows The credibility so if you use an exact mesh domain you will need to actually exceed The credibility for all these four verticals whether from content analysis from or other types of aspects as well this specific research also mentions the trust Rank and credible rank which are two different let's say algorithms trust friend comes from Google as much as I can remember but there is sorry there are two type two trust rings in the patterns Google focuses on social media mostly and and Microsoft focus on other part it is an example of actually how the search engine is trying to tries to own a concept via the patterns and I also May process the search engine let's say credibility or the trust direct inside my YouTube channel you can check it and here we have different topics they have query terms and we have expert URL filters and these are the users so the important part here is that the model that they are creating and the user's choices they are overlapping so that's why they assume that their model gives the most expert top or experts for certain types of toppings and if we search for Atkins diet Effectiveness they will be choosing choosing let's say PubMed Central Nico Etc and 250 254 thousands of users has chosen that they say and there are on-page features and off-page features and there are Awards or advertising or spelling errors or different or domain type for instance because users tend to focus on the page content rather than the browser's address bar the domain type comgo Etc of a page may not be sell brilliant or we call it we collected this as a categorical feature they say when it comes to off-page features let's say we have many things actually I explained here one of them is Page link this white page ring I wanted to explain the previous one as well and then they actually focus on aggregate features like General popularity Geographic reach develop time revisitation patterns expert popularity revisitation here includes also bookmarks as lovren's page also mentions and there are some other things so focus on the word feature okay it is important and there are some let's say examples or example Pages here too that they give for further sections here like this is also one of the methods of serving results we have mpep MD here we have page rank we have let's say a kind of note from everyone and also not from experts so all these metrics they are also represented from external sources so they can actually put some other other signals based on page rank as well and we have different types of let's say topics conditions and you can check all these features for certain things so let's say these are search results and this is the web page we have author information which is also important to show the author Authority it is cited many times in the research papers I can type that and on certain levels definitely they are using it I can't tell agreement with ground truth groundedness was also a principle for Lambda and distance from ground truth I have mentioned this thing in with my concept before in my SlideShare if you check actual ranking articles based on opinions or opinion based ranking in this specific one here I talk about the truth ranges and they are coming from corroboration of the search engine result pages and the research paper here actually it is about that as well so this is one of the really good research papers from Stanford and also from Microsoft from Meredith Ringle Maurice I will suggest you to check it please it's just 10 pages when it comes to here again I will need to go to my SlideShare actually it's ramanathan vika who is why do we focus on him as I tell you that he is founder of the schema.org also data comments and at the same time he worked on Google and many other places as I can remember he worked in Microsoft and he actually wanted to do Google and he is a friend with the program as well and he has many things actually here actually here I actually processed him directly for many different parts it will be useful for you to check this presentation and basically Ramada is someone that you will need to check he is also friend with bisphon panda and Nam need Panda based on brains behind the panda and he is mentioned many times in terms of trust one of the researches that he has written is propagation of trust and distrust and also which is the vice president of search on Google he is also another researcher on that specific pepper as well it will be helpful for you to use in terms of semantics topical lottery or holistic SEO principles as well when it comes to this one again this is actually coming from as much as I can remember from Ramana tan guha and thousand Ravi Kumar and here too we actually talk about let's say unweaving a web of web documents here again we talk about actual trust and overall over all relevance and also overall uh trustworthiness of the sources but I will only read actually this specific part because at somewhere we talk about actually compressing but I can read I believe that's this sectional already a natural way to construct a graph for relevance understanding will we take every pair of document do you remember that I talk about payer wise relevance here it's actually what I mean and in this case actually we create a kinds of Edge from D to the D or document to the document one and if and if only if D and D1 are deemed related we adapt the convention that whenever we add an edge between two documents as always directed from D to the D one if in this case actually let's say one of them is the source of the pair the other one is a Target and they they try to create actually a graph based on their relevance which means that we have Direction inside the graph they explain the dire the direction of the graph based on certain types of rules but the important part here is that at some point they talk about efficiency and scalability and they tell that pairwise is not useful for that that's why they actually try to create a larger array in terms of specific types of terms it is also important that the set of terms is chosen by some appropriate text parsing or into the extraction mechanism and depends on the particular application domain application domain means that actually the invention use domain in this section we will not address this issue how the terms are chosen suppose we built a term document Matrix it means that we have documents at some volume and terms at some let's say columns and answer the rows and we'll time it you see the time here and here MDT is the amount of presence of the term T in the document T once again we will not address the issue how m is constructed in this section our purpose is just to use this Matrix M to build the relevance graph my point here is that if you don't use lexical relations you will be missing most of these specific terms and it means that actually you won't be able to inside in these pairs or lists or points and that's why the relevance algorithms won't be having you so imagine that we create a relevance graph like this imagine that this time these things here there's are the documents and let's say one of the documents have the most directed edges or the knots if it has all the knots or the edges it means that it is the most relevant document in that cluster and we will need to use these things in semantics a lot so that's my exact match domains I focused on them in my prep training because they are naturally about semantics so massively parallel learning of three assembls with mapreduce I mentioned web map radius already check this name this one at Panda and also in this case actually we focus on feature extraction that's why I also told you to focus on excellent features that we have in this specific part inside the feature extraction we extract the features and we use a kinds of model for parallel learning based on these documents and we use certain types of methodologies to actually get a kind of learning model for specific things based on actual regression learning once we get correlation then we assume that actual things go go met Ray as well and this algorithm here actually is about that and this section is important too from XLR the Airbus last key because we already have this the language attributes language attribute actually is the language model that we use directly inside the algorithms and also inside the documents as well and we try to understand a kinds of Association based on these things again by while extracting the features a set of language classes and a purity of training documents are defined each language class identifies a language and character set encoding occurrences of one or more document properties within each training document are evaluated for each language class a probability for the document properties set condition on the occurrence of a language class is calculated it is also relevant answer for understanding the language directly like espanol Etc because something that you can also use an exact mesh domains as well but it's also about actual understanding overall quality of the document too it's not just about recognizing the language family it's beyond that so this section this is from Stephen the baker sorry this is from Matt Cuts I have someone here Stephen the baker too so I have actually wanted to show this and Google search and the search engine spawn in this specific document too we actually talk about many quality issues like low quality sites or Google Apps still takes an action on sites that while our guidelines displaying Google s does not help a science ranking in Google buying Google s does not increase the size ranking in Google search results in the early days of Google everyone was actually more skeptic and as in the interview the same person tells the same things all the time as pure web spam has decreased over time attention has shifted in instead to content forms which are size with shallow or local to content in 2010 will launch two major algorithmic changes that focus on locality sized nonetheless we hear that feedback from the web loud and clear people are asking for even stronger action on the content file arms and signs that consists primarily for spammy loves quality content thanks to AI we will have even further problems for these type of things so when it comes to this part this one here this is the actually pattern from this specific document and I won't show everything here since I already explained most of the features or the factors there but I will suggest you to actually check the engram section A little bit because I always tell you to actually use unique engrams if you are able to handle that part you will be actually getting let's say unique attributes as much as possible and your documents will be actually more unique or let's say you will be relevant to the old documents similar but also unique for different sections with a higher richness in terms of context so it will be useful to check this one here based on that and sorry this is here so this one is Stanford quid lines for web credibility but let me just drink the water a little so Stanford guidelines for web credibility it is important and you can check this document because here we have make it easy to verify the accuracy of the information on your site show there is a real organization behind your site highlight the expertise in your organization any content and services you provide show that honest and transfer to people's type stand behind your site make it easy to contact you design your site is look professional make your site easy to use and useful update your site's content often use resist restraint with any promotional content avoid errors all type no matter how small they seem so there are many actually supporting research links here you can actually check these parts or check these sections with some examples it will be useful to check this because this is the document from Stamford for credibility of websites and the web pages and this is actually what uh stays behind the Google's mindset as well since Google also comes from Stanford as well and this section I have put this here because 13 Indians other than pichai the Google must thank for helping make it the best I will mention a few names here I'm a single is of course again this one at Panda he is here too again he is here too and other names here they're of course important too and one more name here I will actually show you prabhakar rakawan is already the vice president of search and sweetheart ramaswami and who is this person let's search it and he is actually a founder of another search engine right now he is the founder of Niva and Neva he it is an important search engine because if you search for Niva or nieva like this you will see that actually this is a competitor of Google and he actually has left Google and he became a competitor and if I search something here like who is Ramana or something like that we will get actually answers directly but the important part here is that they already actually provide a Niva AI results basically if I just sign in I'm actually a member here as much as I can remember this might actually this is the first implementation or first proper implementation of AI based search engine results or AI generative AI models inside the search engine results I am a member here as much as I can remember but anyway I will try to show you the search engine first and in this part actually the search engine is a competitor to Google it's a new search engine I can tell and if I come to this part here usually if you use the AI results they write actually specific let's say summarizations or other types of things directly in this area it can be useful for you to check actual results from Neva because the person here is really important and he knows how to monetize search engines as well he is a marketer too and a good engineer as well so if you check the if you compare the results from Neva to the Google if you check how they use the AI it can give the ex some ideas for the future as well I explained already another time we go how to this section is a little bit important in terms of query semantics and example I have actually I will publish these presentations uh webinar in the future but here Apollo Hart tells that Consular pairs of searches United reservations Continental reservations they are synonyms but at the same time there is a minor problem here because these two annotate different brands so in this case these are siblings but also these are Rivals but also they are synonyms so if they are Brands and also Rivals you can't rank them together but at the same time they are synonyms so this is about exact match domain one more time because the specific brand name represents a synonym phrase and that synonym phrase is also competitor or represent a competitor brand so this is a complicated situation and Google actually couldn't handle this situation that much at the end of the day these two companies had to merge and here I have shown this pattern many times you see that frequently much in common Paul har as much as I can remember he is already inside this patent and United versus Continental Canon versus Lincoln or kills versus Stones Godzilla vs King Kong and frequently in common section actually are frequent altered or high altering ratio or frequently alterable sections they actually represent how they can actually find the query semantics based on lexical relations or based on query Behavior or user behaviors then they create the different types of rules like United or Continental Airline or air ore or Airline Etc so it is also relevant a little bit to do that pairwise relevance algorithms too you can also check them to understand further my point I can tell you so if I come to this part Ramada and Panda if you search for this you will get this document but at the same time I will suggest you to actually check this vq1 section as well because here you will find some documents that actually mentioned in the reference section directly to the our again researches of our engineers and web syndication is actually about what search engines does because they take entire web and they Syndicate them in terms of inside a search engine and it will bring us to A New Concept which is search engine optimization so that's why I see that actually let's say if you are able to get concept of the syndication then you can get actually concept of optimization from a different angle which would be helpful for you I can guarantee that and here too our producers of the web syndication is the meta content framework developed in 1906 by Ramadan Vega and that's why the person here is really important it will be useful for you to again check his voice or career and education Etc and this is the document that I have already mentioned I mentioned these ones too we and this part so let me explain this I have already talked about the Sunnyvale networks when we search it we get this part all other things but also we get three tiers and other other parts as well and also some other exact mesh domain as you see Sunny Valley they say Sunnyvale IO and sunny Wale clothes but they both belong to the same company in this case but they both are exact match domains nearly at the same time if I just search for Sunnyvale and this time again we are there but sunnyvale's smoke pits are also here too and if we come back come below Facebook again here from them here crash base from us here sanewale cloth is here LinkedIn from a stupidity from us Yelp from them Walmart from them and also indeed from them and also some others from them also from us are here too we also see that Sunnyvale Aragon which is a place so this is actually what we call there if I show you these results here which is the holistic SEO you will see that actually that we are at the top because holistic SEO that digital it is also actually an exact match domain I can tell you and in this case if you see the Google auto rank is here interesting anyway so in this case here too we see that actually at the top an exact mesh domain ranks by opening all these things as inside the seobook.com article and at the same time we have acquired but in terms of payer wise relevance and also overall brand attributes we also have our Facebook page because I searched from United States and usually Facebook Rings higher in the United States then we have Edge chefs they also relink us then we have our own YouTube channel with the same name one more time and at the same time they don't use actually a certain types of let's say our YouTube profile here but they use this specific video because I have written an explanation or the exception there and at the same time we see a LinkedIn from us trustpilot from us in this productivity from a scrunch bias from us and some other sections then we also see job advertise job advertisements and after a point we see another company with the same name and nearly some other companies maybe some similar domains like holistic holistic digital.com this time but title is different in this part so important thing here is if I search the same thing with the before 2018 I am not there we only have you asked now the syrup here is you see it is only conceptual and it's two different already I can tell so you can try to check these things in that way and I already have shown you this document I won't repeat it one more time you can check it later too I believe I have finished most of these sections I already explained this I would I also explained it before too many times you can check it and I believe we can end this specific document but I would like to show you the explanations of the balslowski in this part compensation distribution using quality score again for from Google there are some values or labels that they can use according to the patterns like let's say verifiability again it is aligning with this Stanford principles timeliness aesthetic quality originality cohesiveness reputation informational value search ranking popularity server responses or some other criteria if you will check this specific document too I believe it would be useful a lot so besides these I guess I have explained many things in this area known it for showing them but maybe this uh yeah helping competitors understand language so I have focused on this because Stephen the baker is here and he is explaining actually how the queries can change their meanings and this is what we do with the exact mesh domains like arm reduction versus arms reduction they might actually mean the same thing or different things with different word combinations gym wired or gym University or Gym College or MBA gym or gym screen star or gym Wars or gym Navy Etc so basically Stephen the baker is important because he works for Apple right now and in the book that I will be publishing for information responsiveness is at the center because he is the person behind every feature snippet that you click or you read today so my people we are coming to end of this spread training you see the time how it is late and despite I work all day all day long I wanted to present you this case study I wanted to read uh have written it and read it and I also give you all these resources and if you're able to make your life better with all this information it will really make make you make me happy and when I create our community I will be able to see you there as well we will be sharing very much more things in a more organized way I promise you that so I'm going to go to the slipping and love you all and namaste foreign [Music]