Search Engine Trust and Historical Data: 350% Organic Click Increase without Publishing New Content

Key Takeaways

hello everyone my name is I am the owner and founder of the holistic SEO and digital and for a long time I didn't share a video due to my latest covet situation but I am trying to come to the back slowly so I have I wanted to share a kinds of ranking situation with you by explaining the search engine trust concept and at the same time I will try to explain the importance of the historical data for a search engine so before diving in into this graph and explaining the jump on the traffic and Impressions on this date and on this date and despite we didn't publish a new content why this one actually ranks this one actually ranks way much higher than this one and why not the why don't the regular traffic traffic actually don't come back to the previous state and how I actually knew that it would be in that way so I will try to explain a couple of Concepts first and one of them is actually summoning content Network design I explained what a semante Content Network design in this SEO case study article and in this SEO case the article this graph actually belongs to the website that I already show you here and the other one this one actually belongs to another website which is visam.net maybe I can create another video for visam.net later but when I create a proper semanticontact Network actually it continues to rank higher and higher all the time and here this website leverages the historical data in a similar way too actually the website takes more than 15 000 clicks a day already and the hrefs actually doesn't show the actual number but I have published the case that Advantage is just here now it is around here according to hdfs even if the real number is actually like double of these and if you check this article you will understand what the semantic content network is how it actually provides better relevancy better contextual consolidation and at the same time how it supports the neighborhood content with the related queries or let's say connected contextual domains and with that said I already explained these two websites in terms of just the ranking I explained why they are ranking and why they can't do the rank higher and higher here there are more than 50 different ways for a search engine to rank web pages I even explain what information for aging is which is a highly important concept and if you check this article and if you are able to read it you will be actually reading at least three years of SEO developments I can tell that and I have learned many things from the dear Bill slavski and at the moment actually I am wearing a t-shirt that actually carries the words of the bill slavsky one of my clients just gifted these things to me and these words here actually coming from my are coming from my website because Bill Bill slaske has given me a couple of quotes so that I can carry these calls related to SEO and semantics were particularly on my website as well and for instance user distributed search results or use of Trends and burst the topics or other types of things they are all processed here just for in the context of ranking or re-ranking and these things queries per second query repeat rate query word length queries per day average click position click probability average seconds to click session seconds Trail seconds display seconds average Trail length for instance number of steps number branches number of packs first loss average medium or other things all these things are actually metrics that the SR changing can track on a search engine result page knowing these things will help you to understand why a web page rings at the top or the bottom and speaking of top and the bottom I will need to suggest you to watch this video here because here I explain keyword difficulty and I reject the concept and I bring a new one which is quality thresholds and predictive ranking for the search engines or off search engines and you can use these Metals for SEO too in this one actually the actual traffic of this website is over already one hundred thousand and I have actually refreshed these sequentials already here you can check maybe in the future I will be giving the website name I can actually give I believe because no one will be able to repeat it and this increase happened with just 27 articles and we are taking traffic from here Healthline WebMD Mayo Clinic this type of global authorities in the health industry with just one seven articles and there's a small Shopify website basically and with that said now this video here you see this big jump right this big jump is actually this so that's why this video is a little interesting in other words you can assume that this video is next step of this one and here actually I explain my semantic SEO strategy for this website and how I Leverage The seasonal SEO events to collect more historical data to increase the confidence of the search engine if you check this one this website is actually one of the main core websites for my in topical Authority case study one of the four and here as you see I actually continuously lose traffic and then suddenly it jumps and we start to take like 40 000 clicks a day so it happens after certain amount of time and certain different types of tests at the same time that's why in SEO we all know that actually sometimes results come when the search engine is sure about something it's not always about to it's not always about us it's sometimes about the time that they need and besides that you will need to watch these three videos and you will need to actually read this case study and this case study I will put these links to the bottom maybe in the comment section maybe to do the exception area but please check these things because if you don't check these things you won't get me here clearly and I will explain this to a little later and we will also talk about actually Google's one of the latest updates The Helpful content update to be honest is a funny name but I believe it is names the Google search relations team they try to give some kinds of arguments or the seos to convince the clients you need to create helpful content your content is not unique that much it's not original it doesn't give expertise it's not level like Corvette vitals before the core web vitals who cared about largest content to paint that much but I believe Google search relations team they inside seos and also the possible website owners who consult to seos to care about these things and these Concepts actually help I don't believe that actually are helpful uh content update it will create that much difference and you will understand why I think in that way I say the same thing for Corvette vitals too by the way but there wasn't a big difference in terms of the traffic changes for most Industries for most queries especially the queries that have many many candidate ranking websites so credit thresholds it is an important concept that I explained in this video because if you don't exceed a certain quality quality threshold you won't be able to range second thing is that the credit thresholds are always changed it's not fixed it's Dynamic according to the top quality or List quality in the constructed index and also in the main index the main query threshold will always change if you are able to be more quality than the bottom one you will be started to test it but it's not just about the quality it's also about the implicit user feedback whether the users like you or not and they will need a lot of data for that and time for Gathering that data you will they will need to test you on different Circ features so that I can be sure that you are better than the other candidates then they will start to increase your rankings slowly and I call these things as re-ranking and there is a ranking State change and if usually the ranking state of course there are three states positive negative Naturals but usually you I believe you also realize that after a certain update you continue to lose traffic or you continue to gain traffic this is actually your state negative or positive and sometimes the increase or the decrease speed or the direction it starts to change as well it means that actually there is another ranking event or specific type of test so with that side here with that said here we will need to talk about a little historical data then I will explain the graphic in this section so historical data is any kinds of data that comes from the user on the serp and the user's behaviors Mouse up Mouse down or pointing and search engines are able to actually predict your move eye movements based on your cursor movements as well or seconds that you spent whether someone actually chooses a specific type of text whether they click and come back which is a called actually click inversion by the search engines not pogo sticking and I use their Concepts rather than generic editorial Concepts and besides the click inversions also there are many different types of Click satisfaction models for instance this is one of the most famous ones if I may show it to you and this one here Alexander chuckling actually he explains this in a really good way and here they actually try to Define what is a good abandonment and they try to understand your possible colleague Satisfaction by creating three different models a satisfaction Model A click model and attention model why this is important because they actually predict all these three in different ways then they start to aggregate all the data for instance this model Cas it is actually worse in terms of predicting to the clicks but when it comes to predicting the satisfaction is very much better and of course they collect data from from users like this if you check here you press two case and actually you perform Mouse over and you secured like 52 and content cache amount Etc and this is date this is your query which is test and at the bottom area they also ask sometimes these type of questions you can also find the similar things from Google survey as well what kind of question is this did you like the answer the ends there is is there a partial answer full answer or there is no inspirationals like quite rated guidelines and if you read these things I believe you will like these are the results you don't need to understand entire math or decision tree here but you will like actually what they mean in this area especially this ubm PBF or other types of things here I would suggest you to check these Concepts as well these are also important things to understand too so basically historical data is any kinds of user related data that happens on the serp in certain date times and if a search engine has enough level of user data in a historical timeline they will be able to be sure about your quality and in this case we will need to explain two other factors one is embrosement Factor the other one is unfairness Factor the embarrassment Factor actually means that whether the search engine will be embraced just because they rank you or they will be happy as their users the and unfairness factors mean that sometimes they don't need more quality documents or sometimes you need to be famous sometimes you will need navigation queries or higher page rank even if it is not fair the search engine doesn't have to be fair so this is called unfairness factor and data might be flowed sometimes let's say there is a historical data that shows that actually you are better but at the same time let's say they lost that data let's say some of the other some of the other websites or some other things because Google Chrome has a fake traffic detector or detecting team let's say the data is a little blurry and they are deleting entire time timeline from the calculation let's say most of the positive feedback for you comes from two years ago and they decide to suggest not don't let's say they decided on not caring about a data prior to two years these type of things might happen and sometimes especially in machine learning even if you don't change something on your website if you're you are in a gray area or if you are a subject to test they might just change your rankings how do you think that they are testing their algorithms on the serp they are using real search result pages and sometimes your rankings just change because one of the engineers just try to understand something so a search engine doesn't have to be fair call these things as M Russman factor and unfairness Factor if you want to have an empathy and search engine communication Talent you will need to understand these Concepts so the confidence score is actually a kind of score that shows whether the search engines possible decision is correct or not which is something highly relevant actually to the live search experiments so until now we actually explain the prominence of these videos and these articles we will explain these two later we talk about a little some other Concepts in this area we showed some traffic increase from wisdom.net and also the we have a graph here also we talk about how search engine screen we also talk about click satisfaction models so we will talk about search engine trust and historical data I already explained historical data we can explain the search engine Trust even a little further since we also talk about the confidence score already so when you look at this graph this website actually by the way we have started the project I guess like 17 April and I am telling that because vision.net and this project they started at the same day and they ended at the same day same day these were pilot projects for me for trying my methodologies and that's why they were lucky because I used everything as much as possible properly but I can tell that I didn't publish the third semantling content Network for this website because one of the authors made me angry I even have written these things and I explained it it here probably if I would write it or if I would publish it this website will take more than maybe even 80 000 clicks a day anyway so during this time I didn't publish even a single thing and the website actually was taking only around 3 000 clicks averagely and at the end of the section it was taking like one 1 500 clicks so basically ranking state was negative then I I knew that there was supposed to be a kinds of historical data increased reason which is a seasonal event this website is an educational website and I used an educational seasonal event then I published my semantic content Network in this area and then I waited as you see the actual traffic actually there is a small jump in this section A small jump let me just draw it like this maybe it will be better a small small jump then when Once actually seasonal event has started since my documents are fresher plus they are created in a better way the internal links were better Anchor texts were better heatings were better the initial or the second or let's say initial and the following four seconds were also better there was always a unique in there there's always a unique information in my documents as well sentence instructors are definitely definitely not very much better and I have more numeric values let's say and named entities and Theory attributes and etc etc so the website has started to be tested in a direct way and during this jump actually the thing that I do is collecting historical data in a direct way then as you realize the website actually starts to loses traffic to do Old Point which is just here but then you should understand that again it starts to rank higher it continues like that then it loses the traffic then it continues like that then I get again there is another jab jump there is no historical data in sorry there is no season 11 here by the way it is pure search engine test then it decreases again and it continues on this level the thing that actually you should realize here that after the seasonal event even if you don't publish new content thanks to positive test results as you see the average position and the clear gainings and also the authority of the website has been increased even if you have the same content if there is no seasonal event if there is no historical data if there is no opportunity to be tested by the search engine we will continue to take this amount of traffic continuously so let's come to the next year same event again we didn't publish something new the website is still new still same as you see after a certain amount of time here the same content creates a jump a test then it comes here through this area then the event starts now we are taking nearly 400 000 clicks a day this was around I believe 140 000. then it comes back let me just fix that area it comes back you can understand the consistencies here then again since it comes actually to back there is a slight increase in this area then it's called the it goes decrease it continues like that then it increases again it decreases again the thing here is that the website actually will continue from this area already which is 200 000 clicks a day same content same semantic contact network if you see the difference from here to here actually the only difference is just a date the behaviors of the search engine doesn't change and how do I know the seasonal Trends actually refresh the index and why these websites are actually being tested if you check my SlideShare account you will see a slight or a presentation which actually works 1000 other presentations and this brightness your presentation actually comes from here it is designed for a Polish VIP SEO event and here in the multi-stage query processing not this sorry multi-stage query processing which is one of the most important query parsing patterns of the search engine and there is a Turkish inside of it I am happy also you will see amid single here which who is highly important Google file of old Google fellow let's say and we also have the Paul Harr who is really important person for understanding the query semantics here actually by the way they also talk about VIPs maybe we can talk about web page segmentation later anyway but basically here the actual talk about trending events they say that if there is a trending event it means that actually they they all the web pages will be curled again and if there are fresh ones or new information informative once they will be tested and I have used actually like a pattern from 20 years ago to create this strategy so it doesn't have to be used by Google if it makes sense it means that search engine will use that mindset even if they don't use that specific mathematical formula and maybe this is first time that I showed you but like one year ago actually I have written a book to explain how the search engines generate questions keywords to questions it is around 30 000 word and I waited Rebecca very well to revise this book again nearly one year and if it when it is finished I will share this book with you and then I will explain the things here probably you will like it because for my semantic SEO course I am trying to create a kinds of pre-training environment and if you want to know when or where it will be launched just be a member of holistic as your newsletter we will be giving the news and we will publish many other SEO case studies soon so it will come don't worry but diseases sickness for many things happen so I need to be sure that I am good enough to be able to deal with all the communication needs so this is the story here and with that said with that side let's move on to some other sections to explain further so confidence score is explained and why does high impression potential help websites so there is a concept that you will definitely understand which is called actually query semantics if you don't have high impression and for new SEO projects focus on the impression rather than the Clicks in to be able to gain to be able to gain Trust of the search engine and let's call it trust rank I'm not talking about the trust ring from the patterns okay I'm just trying to give a new new meaning to an old good phrase let's call it trust link to increase your trust Link in the eyes of the search engine you will need historical data if there is no click there is no impression there is no historical data you will need to get impression first and once you are consolidating impression from related queries you will be started to test it after certain amount of exceeded thresholds and to be able to do that you will need to go some related popular queries but as also helpful helpful content updates or let's say fun funny name content update States you can't go irrelevant topics you can't go to the you can create just web pages just because they will take the clicks because it me it needs to make sense it is about what you do how and who you are so that's why I try to create contextual Bridges between your new topics and also your websites while doing that and while doing that put the most important queries to the center of the cluster and then start to expand the context even further and start to connect and also the transfer all the authorities to your Source in semantic SEO course actually I explain these things as core section Source context Etc you will like them don't worry but for now I can explain these things this much based on this website so the next question here is why is historical data related to The Helpful content update so I believe I have that related page somewhere here let's check it the let me just write it maybe here no so helpful content which is here so to be honest I don't see something new on this update most of these questions are actually coming from Panda days and they're coming from Amit single Danny Sullivan just refresh some of them and the questions here some of them are actually a little new and important because they talk about topics which is something important and different when you say the different topics a lot of count producing a lot of content on different topics it is all about actually topical relevance and topical consolidation and topical Authority again that's why you need to actually read these case studies as well and if we check some other sections you will actually realize some signals for historical data because without having the historical data search engine can't be sure whether you are helpful or not at the same time this is a site-wide signal according to them and it is definitely not new because if you have too many discordant phrases on a web page it means that web page is actually spam if you have too many discordant topics on your website again website might be spam and at the at the same time since it's a site-wide signal we need to talk about neighborhood content let's say we have non-quality content and and it's non-quality nature and it's untrustworthy or non-trustworthy nature will be propagated in other documents but let's say we have a non-created document just here so another document also stays here the distance between these documents in terms of internal links will Define how the non-quality document actually will harm to the other one and if they calculate these iterative algorithm calculations to understand your overall quality you might stay at the bottom of the quality or let's say you might not exit the quality threshold and if it happens they can start to change your ranking State slowly because here too they actually tell that mounts it will take months a period of times and that's why I'm focusing on how Google ranks that much because it is highly related to do actually how Google rings and web traffic which is one of the popularity signals again it is important because if your website has page rank if it is popular if it has Brand value probably will be okay even if you talk about many other topics and with that say okay so why I am thinking that these things are not new so you should take check actually what hyperlink into the topic search is and you can read a couple of Articles to understand that John kleinberg by the way he's important person for Google as well and with that said his algorithm is not used by Google at least Google didn't say that they they are using it but the thing is the mindset is used even if they didn't use the same same typical mathematical formula there basically hits divide entire web as hot Pages or authority Pages if you if you have an authority brand it means that you actually you are in the category of authority pages and or if you have a service provider again you are in this category if you are just listing different products or services and compare them to each other it means that you are a hub the thing is most of the time people actually try to find a good Hub rather than a good authority taxonomy of search which is a good research from Android broader you can check it even if it is old it explains these things in a really way and his algorithm actually is connected to the search engine trust and historical data and again these helpful content update of the Google or basically let's say Google always try to find a helpful content that's why I'm telling that the name means nothing there or the signal I believe this is basically a communication strategy rather than a pure update and since it will take months you won't see that much change in a direct way even if you see them it might reverse on on time or or maybe you have some direct signals that they delayed until a big new algorithm insertion to do their core systems anyway with this site you can check how it is used you can also check similarities of the page range as well another thing that you actually should remember from here is key bearish maybe score and if we check it gibberish score is a concept that is used in Google patterns again and during the Panda and Penguin updates finding gibberish content was one of the famous things that Google all always do and you can also understand how these things can be used to understand not useful content so good content so distinguishing good content from bats the steam is always same and this is not a new thing as well and there are of course other things let's say Google trust range I don't know maybe I can open again another Wikipedia or something like that oh let's go here since it is the okay I can also go to the dear Bill slotsky's website so if you go to the Google trust rank also we have Yahoo trance Rank by the way but Yahoo's focuses on links Google focuses on social media in on their patterns but the thing here is that uh this is a patent fight because they want to own the concept that's why they use the same name with slight differences whatever Yahoo does in links Google does the same thing in social media so that they can stay relevant to the methodology anyway as by the way as you know the page rank algorithm is not used for the web pages first it is actually used for understanding who is important in society it is even used to understand Terror organizations anyway and when we talk about the trust rank what is it and how it is actually calculated and let me open another algorithm from Google Hilltop algorithm actually Google didn't say that they are using it in a direct way but basically in Hilltop algorithm there are some certain rules I guess I have written this thing let me just check oh yeah so at the bottom I believe I have okay here so that in Hilltop algorithm to be able to call as a trustworthy Source you need to get at least two links from highly alternative sources and these sources can share same IP address they can have a relationship or they can't be part of the same domain so these are exact rules for Hilltop algorithm why it is important this necessity might be two three four five six or it might be dynamic or it can change from day to day based on some certain factors but still it doesn't change the truth then to be able to count it as a trustworthy Source you will need some certain references the number might be buluri but cell mindset won't change that much even if some trustworthy sources link you if they share the same IP address that much or if they are coming from same domain as sub-domains it wouldn't mean that much after a point in this case the mindset doesn't change and when we look at to do trust rank you will actually see similar situation similar definitions and explanations to see how they calculate the thrustling how they thrust ring is actually a kind of extension of the page link and if you check this video it's not a bad video by the way educational video from last year's Nick analysis and Page rank it actually explain some certain historical facts about the page Rank and this one here extension of page rank part 5 trust Rank and here they actually explain the mathematical formula changes and mindset behind them so if you want you can check these videos or maybe we can do another video about it Tail as well to explain these things a little further but basically this is for actual understanding when people are using page rank for hiding player non-quality contents effect and with this site too let's ask some other questions and we talk about actually historical data and why it is related to The Helpful content update and we also have one more thing what is a search session or query session and when a query session ends and when a query session actually starts for instance the in the web browser we have three different sessions one is Step session the other one is browser session and the other one is the windows session and to be able to understand when you're actually search session starts and ends they use this type of web browser capacities or capabilities and at the same time they use your queries context and they assume that okay the context changed and they will try to understand why the context change because Google is already aware of that especially after launching the immersive Google Maps maybe I can find it immersive Google Maps or something like that yeah because here Google actually tries to compete Against The Tick Tock and they have created this immersive local as local search results serving methodologies for the special Generation Z after started after starting to lose local Source traffic to the Facebook Instagram or Tick Tock and the thing here is that the thing here is that they will try to understand your search sessions borders and they will try to understand why you search it suddenly and Google is aware of that most actually search sessions start from social media you hear something you see something then they go here and you check it and Google tries to understand where did you see something and how they can understand actually what did you see I am sure that a couple of times when you watch actually something on Netflix I believe you have seen seen that YouTube actually suggested you some videos related to the things that you watch on Netflix they are able to actually track you while you are using Google Chrome or if you keep your a Gmail account open they can understand what you are doing and they can try to connect your other place and behaviors or environmental behaviors to do directly to their own source systems and this is actually called Ambience optimization which is another topic and it's also related to Google's end goal which is becoming Star Trek computer and I know that a video is actually already long but I wanted to explain many other things so let me go a little faster so what is a selection a selection means that actually we have a click a touch or you have selected something with your eyes you didn't search something or something or another related thing and you just read and go let's say you have checked a featured snippet you didn't click somewhere but you rephrase your query it means that the query wasn't good and it means that they will need to also decrease the quality score for the query as well or maybe the answer or maybe the answer wasn't good for that query but it is a good answer for another query it means that the query has been Rarity in a wrong way and while creating your semantic content networks you will need to create all these possibilities in your brain and you will need to give them different ways and prioritizations to create your own actual topical map as well what is information for Raging information for aging is related to the constructing a search engine result page and to be able to construct a proper in proper serp and serp item list you will need to actually understand in what way you can't satisfy more people and more possible and relative search activities if you put a image pack map pack or image pack or local map pack at somewhere in in the serp how the satisfaction possibilities will change and if you put a video Carousel or YouTube carousel or if you put a kinds of social media account or knowledge panel somewhere how the behaviors will change and as as actually I show in this section especially display seconds number of steps Etc how this course will change and how would actually it it would affect the satisfaction of the users and how you can understand whether they are satisfied or not after a point if you have certain amount of data you can start to create an automated system in the search of the record podcast Google actually explains that they have a bidding system for these things and while serving the results let's say the server didn't answer in a fast way they are actually just keeping that feature as well and with this site basically a selection means choosing a specific result and the search engine will try to understand whether the result was good or not we have even some other Concepts like engagement traps less usually seos assume that if the bounce rate is lower it is better but sometimes if the bounce rate is lower it might be worse too because it is called engagement trap it means that the user is not able to find what they are seeking for and they are circling in your navigational structure until they find the thing and if Google realizes it they will try to understand why the user is not satisfied this part despite they just click once and they didn't choose another source as well so let me show you some pattern designs here related to these topics then we can start to end the video okay so this one this one is actually modification of the search results based on the implicit user feedback and presentation bias here actually is related to what I just said before presentation means serving what tables serve according to your behaviors implicit user feedback these things just you have seen on my screen query per second Etc they are not explicit these are implicit but let's say there's a feature snippet and you said it is not useful it is explicit and witness say this ex this pattern actually helped will help you to understand how Google can understand whether a result is good or not and as you see here there is there are two results and they are tracking how their you are actually behaving there is a selection log then there is a rank modifier engine and ranking engine scoring engine and then the indexing engine indexing means that actually they are reordering the index um in a way or reconstructing the same index let's say and then actually they will repeat the same thing all the time here you can actually see all the some different and different answers and they will actually reink these things one good thing here is that you are you will see that there is intendation here actually this thing came way much later way much more later after this patent and it was surprise surprising for me to see that it's like there sometimes giving a try to the old ideas and then they like it and they just start to use it and this serving methodology even affected cannibalization situations because in those times if you have two really close pages to the query they were diluting the ranking signal but thanks to this serving methodology if users started like this serving method it means that actually Google will be more tolerant for these things by decreasing the let's say the threshold of cannabization and another thing here that we will need to check is modifying the search results based on user's history and this one actually explains why historical data is important for search engine trust or let's say trust range and here too you will try to understand how a simple single user can be followed and once a single user actually has been followed they will start predicting your you interest areas and if they're able to understand your interest areas they can actually use this data in Google discover or query the search or news news feed the next step is actually creating a social search engine and social search engine means that actually in a search engine that intake rails other social media platforms to itself or other types of social behaviors whether instant chatting instance instant messaging or also or at the same time actually even in India they have tried to create profile pages on Google serp directly as in the knowledge panels and they ended a experiment but in the future we can see that you are able to create some profiles directly and some of these serp features here or serving methodologies here actually they are coming from here if you check here they are actually integrating Gmail to this area which is an important section important thing there as well and here here to actually the hotel in San Francisco allows pets or this type of questions actually if you search something like this at some point search engine actually wants to create a dialogue with you and they are actually following many other things in different ways as well if you read these things I believe you will like it the next one here is actually improving a search ranking using related queries I already explained in my presentation as you remember I have used related queries to increase my consolidation then I'll I just waited actually a historical even seasonally meant to improve the historical data so this one is about a little categorical quality as well and they try to actually understand the quality of a web page according to the include related queries or a website as well and if these queries are searched together if they have mutual terms of their synonyms to each other or if they include highly related topics it means that actually they will need to take a place in the same document rather than a different document it is also related to the categorical quality patent of the trees and upsell this one is really important I would suggest you to search for ramanathan vigua definitely if you don't which you will regret it at somewhere search result ranking based on trust I can do a different video about this but just check it this is the most important patent actually for understanding the search engine trust how they can trust a website or not and as you see trust range and here trust propagation I already explained this in the unhelpful content or helpful content update basically there how a contents quality or trust will be propagated to do other types of nodes and it is actually used in social networks it is a yahoo patent but still some of the Yahoo patterns are already and many times actually cited by Google and many Yahoo Engineers already work for actually Google as well and as you see here a page rank like a pastry and created link like link graph there is a user graph here too and they'll try to understand who is the most important person with different types of calculations that's why understanding social networks and linked networks they're not that different from each other you can use the same same mindset especially Google has the similar things for understanding who which influencer is better or which author is more quality and even I explained actually in Google auto rank research in terms of Google canol or Google adswords or other types of things trust based video content Evolution you can check this because this is a special for video platforms like YouTube or YouTube SEO and here there are many many categories or things to understand the trustworthiness of Video Creator I hope I am doing it actually correct way and a trust ranking server actually is a little important thing here and you can actually skip these areas but there are important things here like low trust moderate trust High thrust and here they actually identify these Concepts or distrust thresholds maybe like credit thresholds we also have trust thresholds as well and here clustering query refinements by inferred user intent in third user intent and historical data of the user and also understanding the user interest areas these things are actually connected to each other and once they cluster users they will be able to Cluster query refinements and possible user intense user behaviors and it means that actually for the same query you will need to focus on many many different types of contextual layers and contextual domains to understand and with that site you can directly read the claims actually but if you check if you check some of these networks their external networks for computation but if you check these diagrams or instructions and some samples and explanations you can actually understand what we mean a little better like Mars Mars God of War Mars planet Venus Jupiter Etc so if I will tell you to create a relevance Vector from Venus to Jupiter to the Mars to the Mars God of War how many different questions would you create how would you order them and how would you structure your answers and what which what kinds of anchor text would you use and we I can also ask that how would you distribute the queries and possible contacts into the different titles and what kinds of a website will actually focus on these things and how we can Define this website if you focus on these things all the time you will understand these things better and users Behavior again pairs of queries and queries to documents so from queries or documents or from queries to queries highly similar what I actually show here repeatedly in the context of information for aging the last one okay still because of the covet I am a little Tyrant sorry this is from Google but it is patented on Canada and this is about actually user clustering because if you can cluster the users you will cluster interest areas you will cluster user intents you will cluster us all of the possible user behaviors and you will unite the data if you unite the data then actually you will be able to test or you will need to babe you will be able to increase your confidence score if you are able to increase your confidence score you will be able to test websites with higher actually higher trust and then actually here as you see this website with the same content the content is same from here to here content is same there is no new links we don't use links most of the time and there is no content change the only difference is historical data and search engine trust this website could actually could rank like this last year or two but it didn't because this is the first time that this website rings for these queries there is no historical data it needs to be checked tested for these users for this user clustered user segments once there is positive signals they just test it by ranking it higher than they rank it lower then they bring it back by re-ranking and then they actually put them into the irregular scale then same thing happens again here too so I am talking nearly for the 50 minutes this is a longer video according to my other videos I believe let me just check I I don't I'm not that active actually I wanted to be more way much more active Okay this is long too and you you like it okay so I try to explain or let's say I exactly explain what search engine trust is trust string is quality scores are and click satisfaction models are and how to communicate with the search engine and why the historical data is important for search engine optimization and for the next videos I will try to give some new SEO case studies with new ranking events I will come back I will be more active on my socials but I can tell that there is something called long covet it affects the psychology and I don't want to use that word so much because YouTube might per save the video in a different way but I love you all and thanks for listening me see you in the next videos