Lexical Semantics and Relations for Semantic SEO: 26 SEO Campaign in 1 Case Study

hello my name is and I am the owner and founder of holistic Casio and digital in this video I will demonstrate 24 different successful semantic SEO case studies and in all of these websites actually I focused on different aspects I have used technical SEO too sometimes I also use the links as well or the page rank or any oriented search understanding and many other things and you will be seeing some of these websites in some other SEO case studies by going deeper let's say if the website focuses on the B2B marketing or the SAS Marketing

in this case actually you will or maybe the SMS marketing too and in this case actually you will be seeing some of these websites with very much more details just for these contexts but today here I will be focusing on lexical semantics semantic similarity and the semantic relevance and types of lexical Unity units or lexical semantics and how you can actually use it for creating a better topical map but not just a topical map also for a better semantic content Network and better actually context vectors heating vectors or question generation question ordering or question answer

pairing or sentence structures so whatever I tell here actually I would suggest you to listen me carefully this will be a long video because first I will be explaining what websites these are and I can tell that maybe this is the first time that in the history of the search engine optimization someone or NSO actually shares to 24 successful website let's say SEO campaigns and that's why I'm a little excited I hope I can explain them with as much as possible details and at the same time at the beginning of the in this video I

must tell you that please subscribe these specific newsletter because I will be actually launching my course very soon and I can tell that the beta testers told me to actually create a simple linear level by level module by module semantic SEO course rather than creating a university because the original version of the course is longer than 55 hours there are many many explanations or real world case studies topical Maps or also one-on-one training lectures but I believe for the beginning part at a simple course or let's say simple level by level subtraction will be very

much easier if you want to learn one it will be coming and where it will be published please subscribe to the holistic SEO newsletter and when I publish this article on my website holistic SEO that digital you will be able to find it easily with that sites as I say also some of these things will be published later and importance of the information responsiveness and importance of the cost of retrieval these things will be the future books that I will be publishing so in other words I already have written three books that I will need

to publish but as you already know actually I have published many books in the form of the web pages just for the free just this time actually they will be actual books for some other reasons let's say so background of the semantic relevance similarity and lexical semantics as your case study and I can't tell that actually I have used some methodological explanations here but let me just Define these things first so first of all when we tell the semantic relevance actually you should understand that it is something different than what we mean with the similarity

two things might be similar to each other but they it actually doesn't make them relevant to each other at least for certain types of contacts and when it comes to the semantic relevance most of the time the relevance actually come comes from occurrence if two different concepts or two different verbs or any kinds of adjectives or if any kinds of nouns if they appear together most of the time with certain types of predicates and certain types of subjects it means that they are relevant to each other but this is not good enough we can measure

we can measure the relevance with co-occurrence but how they are relevant what is the association type or what is the direction of the context there to be able to understand that we have to focus on the synthetic parsing and the semantic role labels but I won't dive in there at least for now but you should just understand that semantic relevance actually comes from a little word proximity or occurrence matrices and a little bit the let's say repetition of these specific co-occurrence pattern whenever the number goes higher it means that actually it is relevant there are

some exceptions like stop verse because stop words occur together with any other verse what it doesn't make them relevant to the other verse conceptually so you can just tell that in a distributional semantics it is normal to have them that's why if you use the the word tokenization limitization or stemming be sure that you're actually clearing the stop words and when it comes to the similarity usually we assume that actually similar things are very much more less safe relevant to each other but no for instance the antonyms the Opposites they are not similar at all

black and white they are not similar at all they are completely different exact opposites but they're relevant when it comes to the similarity you should focus on actually a little bit the let's say Word Sense disambiguation because a word six meaning might be close to the in other words seventh seven seven meaning if the predicate has been used with a certain types of let's say place or the time all these patterns actually create the language models that's why whenever we actually have more parameters in the language models it's easier to understand or let's say it's

easier to actually perform these natural language tasks by the way usually you will see these type of tabs inside my videos and their natural I don't do that much editing in my videos as you know I try to create you create videos that actually you can watch repeated or learn the SEO search engine optimization and here this is one of the things that actually I just wanted to mention here because this stays here before I go even to Thailand so for SEO Mastermind of the math degree and here actually we have a new language model

from Google I will suggest you to read these research paper because this is a little big I can tell because whenever Google actually uses T5 or Transformers bird mom for constructing a new model it means it actually it is let's say it is for decreasing the cost while increasing the efficiency and in this case you will see some new nature language tasks this is the first time that actually I see a lot of toxic language detection inside the research paper so it is a little interesting when it comes to the also some other things like

title context generation the or let's say understand the context from the title so these are a little important let's say nature language tasks I would suggest you to read this and these research paper as well as I say this is actually a new new language model from the Google definitely read it try to understand you don't have to understand everything you don't have to understand the math but try to check these examples a little bit at least try to see the point of these things and if you are able to understand the plan a little

it means that actually you will be catching Google from a point or from a section try to check especially these examples and obstacles that they are actually trying to let's say overcome and anyway if I come back to do this case study so the first website here that actually I wanted to mention to you is actual team colored chords this is a website that actually I have managed like really before and still it continues to increase its rankings but before we actually come to there I need to tell this I actually have written this case

the one year ago but I didn't publish it because of two reasons first of all I was sick most of the time and another thing here is that I wanted to publish these things when I am ready to launch my course so now I am ready it means that actually I will be giving these things to you so that you can actually learn and you can get a little more ready for the course material so that's why I would suggest you to watch to his YouTube videos repeatedly so that you can actually understand the course

very much easier and another reason to wait actually is I wanted to protect some of the websites so that they can actually have enough level of historical data check my previous videos you will see the importance of the historical data for the search engine trust and in this case actually that's why I waited and I will be giving the active list I manage the projects and I will also talk about of course a little bit let's say the SEO Echo because even if you update or optimize a website right now probably you will get the

results after the re-ranking trigger which is usually a broadcast algorithm update so it means that actually most of the time the future effects also come from your past efforts as well so team colored calls it is actually a really perfect website for the semantic SEO it focuses on directed lexical relations for just the colored codes and you will get actually many different types of synonyms synonymizations but beyond that synonyms or using synonym phrases is not only thing for the lexical semantics we have other types of lexical units like meronims holonyms or also hyponyms hyper names

so based on these actually four teams and also for colors and also for colored chords you will be always getting all these lexical relations and you have to use and focus all of that all of them there are there are a couple of more things there let's let's say you have to use different content format at once whenever you use a more content format actually you're covering more context if you check the website I believe you will get what I mean anyway also as I said the article is not finished yet so I this is

actually a quote from the owner of the project let me make it like this when I publish it I believe it will be ready okay so these are the graphs for these sections there is one more thing that I want to mention here I have published I have published this case a very much before and when I when I wanted to actually use some different content formats and questions and answer pairs we want we needed to do an A B test I have chosen 100 articles or 100 URLs and I waited six weeks in SEO

a b tests I waited six weeks to get the absolute results and in this case you see the juventory of these samples and how actually they increase their traffic Impressions and also let's say query count and this is actually about contextual search and contextual search engine optimization if you read this article you will see these examples and you will get what I mean directly here and these samples they are actually from Team colored codes so that's why actually I wait sometimes really long first test wait six weeks then Implement these things for the most all

important Pages then get the results and make the site By changes consistently train your team test again and then refine the methodology and decrease the cost and do it again again and again I hope it helps because sometimes people tell me that you talk really academic but this is what I am and I guess these since you have the website name naked data I guess you will be able to do that here actually the Paul my dear Paul he shared a screenshot with me he told me that whenever we update a web page with my

own Metals actually people stayed on the page longer times and they actually clicked the second Pages more too this is a screenshot from him these are some changes as you see I waited one year this is today is November 6. this screenshot is from actually last year November these are the initial increases really good increases especially check the Impressions and those average position it is important because if you increase Impressions and average position together it means it actually overall quality increases as well so I will suggest you to check the article and some other proxy

case studies that I will be publishing because even now I am talking for the 12 minutes I I don't know how I will be finishing these two and four websites let's continue and this is from August website continue to race check this especially query increases and these are some other metrics that you will need to be checking check this link as well you will get actually one of other SEO case studies that probably I will be publishing like soon because this website here I actually updated article already but I didn't announce it there is even

a broadcast algorithm update analysis here actual two broad algorithm update analysis but I don't share everything that I I have written because I want people who follow or show the patients to realize these things and this is the end result we started here we are dancing with the core algorithm updates with the semantics check the YouTube channel there is a video for this anyway and with that said actually if you check the website still continues to actually increase its rankings and after the core algorithm update it even continued to actually increase it further you can

check some screenshots or some other areas from August to the today it didn't change that much from in terms of the positivity so when it comes to the second website here let me just check the name because when you have determined four things it's not that easy to remember all of them but I guess this is one that I yeah I remember okay so this is a little interesting because this is a gift website but I have to hide the website name because it belongs to a friend actually he they they were not friends at

the beginning but then during the campaign they became my friends from Israel I really love them and we this is actually an expired domain as well since I hide everything I can also talk about a little black cat this is an expired domain and later I also started to use a little Ai and but this results that you see in this area they are not from AI there are pure human intervention and optimization I created a taxonomy and ontology with my hands and it also has many things related to the alcoholic drinks let's say and

let's say some bartender related things and with that said if you check these metrics again from last year as I said I have waited for a long time then actually once we launch the semantic content Network it created really big jump so this is also from also the Google search console data as you see this big jump here actually it says 60 000 clicks but it's very much more than actually on that area it was coming to the 200 000 clicks amount and these are the initial changes in that area after that around of February

2022 it became like this in the hraves and it became like this in the sem Rush if I will show you the current situation you will get angry to me so I won't be doing that uh because it's black cat a little and there are many things that we can do on that area so I will be hiding that for now but I can tell that this is right now millions and this is the code from my dear friends from Israel happy to know them so this one the Sunnyvale the third website it is a

SAS website that focus on the network security and Affordable Services when I publish the SAS SEO case study you should check how actual I especially determine the source Identity or the source context we have used the lexical relation semantic relevance and the similarity especially to create a relevance from network security to the advanced or next Generation firewall Services it requires actually processing of lots of different types of let's say IET and some let's say user privacy and user security Concepts so it requires actually a big topical map to create but whenever you create a topical

map there will always be a course section redirect all of your internal links in the course section use this this course section engrams and terms inside your home page if you know someone who who how to listen I believe you will be able to implement these practical suggestions as well this is the code from the client and these are the initial changes and as I say this is from the February and these are changes in this area actually actual traffic is very much higher than that with that said I have also registered the website into

the Google Knowledge Graph and I have I have actually created this gpp let's say registration all these social media accounts have been activated the even the brand search demand actually has been increased then this is the current situation for a small Source company it is really good because the sales really bring good monetization value there and this is from the smrush this is from the Google search console so the fourth website okay this is uh a little interesting website because at the beginning here actually I give some examples from the wizam.net I manage actively actually

actively for the initial launch and we have reached out to the over half million Clicks in the website and then the owner of the company started to actually focus on every individual small really small queries by creating new pages which actually breaks the semantic content Network and now they try to actually fix it by changing some other sections but basically the website that you see in this area it is for the dog foods so the website name is actual dog food care this website is also important to understand the query thresholds because with only juventa

articles actually I was able to gain over 200 000 queries and really big amount of let's say clicks or again a big jump actually directly in the website organic performance but the main problem here is that the after 21st article then the rest of the Articles they were not good that so since I wasn't able to actually provide enough level of quality difference from the first to the second patch the second patch didn't predict the same amount of let's say the queries and after that actually the monetization section has to start so it is really

good for initial launch but after that the content quality was not good enough to actually continue to rank in the same way but still if you we would continue to do that it would be really a good really really good let's say website launch but still for the initial ranking this project is a major success I can tell that and when it comes to this one company that come this is a really big project I waited one year for publishing this one too these are the calls that the let's say CEO cmail and authored leaders

course for the project and I'm really happy to know that they're really kind people cambodies that come really they have I can tell they're really really perfect people I'm really happy to know them I've always remember them in a good way and by the way hello to my brothers and sisters from Bulgaria and once we've started the project actually we started to see all these increase and then actually this is the August version I'm not sure whether I had yeah this is the uh no this is the October version so it even doubled itself and

I have actively managed the project for six months then I have completed topical map I have created also 80 plus content briefs and they continue to actually complete they continue to write these content briefs and from time to time actually we have said uh each other high and we fix these things actually sorry it was longer than six I don't remember the exact date but when you read it you can actually see them anyway so this is the current situation there and this is from the sem rush so the sixth website VSS monitoring I have

managed this project very much before and this graph here actually it shows when we started and how we how frequently we publish the articles I can tell it actually from here to do here you will be seeing that most of the website is already refreshed and we published let's say we doubled the the amount of existing articles it means that you are actually changing entire website which will require or perform a kinds of re-ranking event these are the initial results here we started here ended here actively management then actually the same content briefs or the

content brief templates in the course I will be also explaining how you can actually create a template but if you actually check this article from time to time I open it you will always see the word template template template it is about patterns and when I come to this area too for VSS monitoring we have created actually three different topical maps and semanticontact network designs they all had different types of let's say extra excessive amount of content briefs and then the client actually continue to implement the same strategy with also some additions as well because

the owner of the company is someone smart and he is able to use actual eag signals in a really good way and I'm happy for him but I am including this project here too so that you can actually check it one more thing is in the semantic SEO course I will be giving the topical map and the summit content Network designs that I have created for this project plus one by one all the articles with all the headings all the answers will be given in a compared comparisonal way you will see the brief you will

see the article you will see the performance of that specific content piece there are more than 80 articles like this just from this website so you can actually see how this specifically these neighborhood content concept actually affects the rankings because here to actually I explained even neighborhood content because if a content is quality its quality will be propagated in the next one if you're able to actually create some quality articles directly just now it the your older articles will start to rank better and the new ones will start to get higher rankings in a faster

and easier way too so that's why the art distactions or the improvements from this area with their historical data they are actually bringing this section as well that's why check the initial ranking rearranking case study that I have written as well maybe I should put the links but if you search for the how does Google rank with let's say holistic SEO you will see this article this is the broadest research that has been ever done in a practical way just for the ranking methodologies and the videos are also here too just check these things as

you see it is as I say I have written many books okay so the next website here it is K9 web and this is another website that actually I went I waited really long time to publish to protect the website and for weighting the initial or let's say some medium results this website semantic content Network and topical map also will be shared in the same way in the semantic SEO course it won't be harming the website anyway because there is enough Authority and historical data for that in fact when I publish one more case study

I didn't include that website and that project here but when I publish it you will even realize that how you can actually change the topical map and change the semi to content Network so that second website shall not rank as good as much as the first one so you can even actually make a certain website rank lower it is like configuring the relevance configuring the contextual closeness and it happened in a really good way you will even see a test good really good testimonial from that person too and I'm glad that actually I also know

that person because he came from us to my this room and we had some good trainings together maybe I can do another video for that anyway we started here we ended in this area and we increased the traffic in a really good way especially these sections too I have written the article templates again with my hands and fixed some other initial examples with my hand there are recordings for that video recordings as well or other things I won't be sharing the video recordings but I can share these article templates and also of course you will

see the brief you will see the article you will see the is performance so you will get these practical things in the course as well these are the screenshots from Google search console from that area you can check the increases quick increases especially in the six months directly and these are the year over year comparison 100 percent increase directly and when it comes to these ones enough store D this is actually not that old but new website I am managing the website for the last six five or six months as as much as I can

remember I guess it's five and these are the results if this website is German until now all the websites that you have seen by the way they are all English this one is German and it's hard because in semantics you have to understand the language but you are lucky because meaning is language agnostic luckily as Aristotle says anyway these are the increase from that area I can tell that content has many problems but I am trying to give that discipline as much as I can and the context here is or the topic here is actually

e-cigarettes if you read these paragraphs here you will actually get what we have focused on and why here we actually focused on the nicotine times e-cigarettes or vaporizers their parts their types their effects or how to solve the addiction problem because it is one of the reasons or the context for the e-cigarettes and we actually process all of them and connect all of them to each other this is the six months I guess six months comparison from the Google search console data this is ninth website so I won't be able to read everything here but

this is the Roxy Cosmetics core UK the owner of this website is a really kind person I really like him we work for the six months but this project here actually it might be a lesson for all the people around the globe so even if you do everything perfectly it doesn't mean that actual rankings will change like this you need a world core algorithm update okay especially if you have lost abroad Last Broadcast algorithm update especially if you lost the broadcast algorithm updates from the 200 to 2020. so you have to be really really patient

and we have published many content but the website continue to lose the traffic I call it ranking State I explained the concept of ranking State before to reverse the ranking State you have to change most of the actual identity and right now website actually as you see it continues to lose traffic we started actually around here created content with the latest scroll algorithm update website website came back in a very much better way and this is one of the actual small folder screenshots in this area I won't be sharing more details this is one of

the subfolders that we have created from zero so if you check the numbers here actually most of the increase most of the increase already comes from the subfolder that we have created that area that focuses on the beauty you can check that section the website is already safe so I am happy to share it even if the website actually sees a harm since I share it I will be protecting the website for free so owner of the website since he's a kind person I will be doing I will be doing it definitely so one more

thing here is that probably this is a typo sorry for that this website is not rocks Cosmetics this website is actually ABC Finance Co UK as you see here and this website owner 2 actually he is one of the kindest British people that I have ever seen but these websites I have put them together here actually this is not a typo yeah sorry I am talking a little CP in a fast way so these two websites are similar because as you see this website actually also it it loses traffic too especially in in this area

as well but we were able to reverse it thanks to the September broadcast algorithm update and some other spam updates as well and if you focus on a special by myl Industries especially directly with the let's say let's say the finance industry please go really really granular especially for your Source identity and let's say e80 signals expertise transportiness and authoritiveness signals and in this case actually this is also important because I will be using these two samples for extending existing topical maps and I will be explaining how to create a topical map and also how

to expand it and one of these two segments is about that and here too we focused on actually loans credits and mortgage separately mortgage was the most important one and again if the website sees any kinds of harm I will be helping to do this website as well for free because the owner is really kind person and I see him a valuable person in my life too so 11th website here yeah you know that I have already mentioned bcam.com became github.com it means it is a bookstore one of the biggest e-commerce websites in Turkey as

I say it is really hard to be a biggest website in Turkey just with the help of actually books and this is what I call within as a negative ranking state which is another website you can check it this website also was able to save itself thanks to some machine learning algorithms and this will be the embed for the video that I mentioned let's continue to evolve website so this is njazip.com I actually updated the case study but I didn't publish it yet you will be seeing that I will be publishing it in in a

separate video with all of the holistic SEO implementations because from technical SEO to The Branding to the entire oriented search to the third party let's say surround sound campaigns bar Nicole SEO or parasite SEO however you call it or heavy semantics we implemented everything here and now actually I remember the days that this website was around here now it's half million actually actual traffic is higher and in for the ex how to expand a topical map and how to create a new subfolders for an existing website it will be really top good topic for that

this section that you see this is the credit subfolder which is really new like four or five months old and this is for the insurance and overall they will be very much better but there are some dangers for this website I hope I can actually handle it you can also check this website too I actually have written the article that ranks for the term insurance in Turkey it ranks at the top it ranks actually in the first ranking and I have written it with my hands you can check the article by translating it it will

be easier for you and okay the 13th website I also explain what I have focused on here by the way but if you read the article by yourself it will be very much better so the the 13 website is actually the coolest.com I really love the owner of this website he is also really kind person friendly person and the website actually focuses on the numeric values inside the titles if you have numeric values inside your titles and listicles it will be very much easier for Google to actually understand and rank you just remember this and

I have created and I expanded the existing topical map by creating another subsection which is the personal types so you can't tell me that how did you see the semantic similarity and relevance between all these listicles and the personal types is another story but to be able to see that you will need to know many other Concepts but once you are able to see them you will be able to expand a topical map and both of the sections will start to actually rank way much better so this is the actually latest update increase in the

website and this is the personal type section it really increases and remember the neighborhood content concept it is also it also has a place inside directly topical Authority case study that I have written before in the long version you can actually change it and you can actually see it and site white rank cable the changes happens thanks to this type of quality new subfolders and we also created a new sop and training videos have been shared with the client and some many questions of the client and also authorship team leaders they're all answered with practical

samples and then actually it's team old teammates started to implement these methodologies as well so this is the test a long test manual from the dear Alex thank you for that Alex I'm glad that actually I know you and if you come to come to Turkey from Romania I will be really happy 14th website sorry for going going quickly this is another bartender ship website but they sell the bartender courses so it is again about alcoholic drinks as before I mentioned but this time we are a course website as I say if you create a

topical map your Source context matters you will see the concept of source context a lot as I say I'm I found many Concepts in the SEO to think in a clear way and communicate use the source context or brand identity we created a recipe subfolder and we also changed many other sections in the website as well over time by training a team member teammates by sharing training videos and also answering questions and some weekly trainings also have been done this is the overall change and these are just a recipe I'll collectoring section changes as well

and these are the HFS changes in this section too I will suggest again read this contextual search and multilingual SEO section 2 because this is a multilingual website and multi-regional website at the same time and there are some takes there actually the website does and they will they will need to handle it so this is also mainly English and this one here this is Turkish and English at the same time a gift website but it is a B2B website and that's why actually it is about query semantics and there will be another video that I

will be publishing about it because for this website or for these type of websites you have to create a relevance between the query context or between the existing query context and your let's say business model so in this case website is B2B but the queries are b2c in this case you need to change your design and you need to satisfy BTC query context while also providing B2B possibilities it's a little hard but you have to do it if you want to be able to rank in a proper way entire product taxonomy entire actual essay entire

product taxonomy ontology have been changed from zero and also URL breakdowns in formation 3 website 3 have been created according to that but most importantly we try to determine especially which type of context should appear there and what kinds of a distance should be put different categories if you try if you are able to arrange the distance between categories in a proper way actually you will be determining what kinds of queries will be targeted with what types of web pages so that's why I am telling to actually understanding the concept of distance is really important

and these are the initial results initial results initial results from Google search console and this is the video embed link when I publish it you can see it 16th website I'm a little tired one sec by the way in after I published initial course probably I will be sharing all the topical maps that I have created then you will get me why you can't use a tool or standardization there even if you think that you can and then you will also get that if someone like me or let's say half of me even if they're

competing against you you will need to use also your own brain and manual work eventually someone like that will come to the serp to your serp and then you will realize it so this is sarahpool.com a pool construction company the industry is B2B language is Turkish and English and again the query semantics again it it has been used here with the lexical relations here we actually have used the full construction materials or pool materials and also different angles like cleaning materials too because cleaning materials are connected to pull construction materials again so Define the material

group them and also Define the pool construction Metals pool types as well then the clinic materials and some other things like pool design as well and then actually we'll be able to redirect or consolidate all of the relevance to your Source context in a proper way these are the results from h3sds and results from the session results from the Google search console 70th website g1.com so yeah this has actually zero search zero domain rating and this is the initial results and this is the activity that I have actually sent very much before as you see

from the actual 10 10 March I said it's zero discipline client click client discipline because they even didn't realize that they launched the project so I had to change everything from earlier and then actually I'm glad that we work a little in a different way but basically this is the initial launch but it could be very much better to be honest and the initial launch from there from here it it went to the 30k now it is around in this area it could be very much better but you know you can't protect every website all

the time 18th website with electrical relations semantic relevance and the similarity so this website is diamondrehab thailand.com I highly y myl website it focuses on the rehab but luxury rehab I would suggest you to actually read this credit threshold SEO case study to understand it I didn't include the website in this area in this section because I still still this website needs a little protection once the website is safe maybe I can share it maybe even I can use how I can explain you how actually with just 27 articles I was able to take the

traffic from helpline or other websites by increasing the website traffic 10 times more and there are some video recordings actually while I am revising the articles in this area maybe if the owner of the website lets me I can also share them in the course as well so these are the initial changes in this website in this area directly and these are from H drafts and these are from also Google search console I can tell that sometimes hdfs and smash they don't get the topic because the website is in a distant country in Thailand by

the way I really love the Thailand anyway and sometimes query search demands or other things they change a lot anyway so here I also explain what we have focused on like Solutions treatments approaches or symptoms reasons for addiction addiction types and it has been implemented to other addiction types as well but there are some things that that should be fixed and for that actually I am using the website inside this case study that's why I put the link in this area I started to use it like a kind of quick way of teaching fits1001.com so

this is actually a Turkish website but it is interesting because I am actually using a translated topical map and translating semantic content Network that I have created for an English website and it is successful I only used actually five or ten percent of that semantic content Network on this area with certain sections so it is interesting that I won't go deeper on that area but imagine that you create a topical map for another language you just translated and use it in other language these are the initial results in this area these are the Google search

console results it's a brand new domain by the way there is no page rank the domain rating of this website is like three four five something like that you can check it whenever you want and here yeah this is the juvented website Advantage website and this is an exact match domain that's why it will be processed in another case study it is a subsidiary website of the Wawa that cars and it focuses on this query how much my car is it has a car Evolution engine and exact mesh domains they are a little tricky again

it is about query semantics I will be explaining in another article these are the initial results from the August these are again initial results from I guess again the August you can check the existing situation as well and I want to read this area this is an exact mesh domain project the distance between the brand name and the query context is important to own a phrase as a brand the website has to create brand value overall topical relevance the brand to the brand terms yeah you have to create a topical relevance between you and the

brand let's say terms or the phrases thus changing the meaning of the query and making Google to interpret its query as a brand name is the purpose of an exact mesh domain to improve the lexical relevance of the brand name to the query phrases the SEO should focus on the abbreviations or synonym phrases of the same query with alternate print names this is for the alternate print name but at the same time you can use other lexical relations meronims or holonyms or hypernyms or the hyponyms but this time you can focus them you can't focus

them as brand names but you can focus them as Concepts that as the relevant Concepts whenever you have these lexical relations it will always increase the relevance as Source or as a web page to run the first website so this one is complaintsboard.com so actually I have started to manage this website around this area I really like the owner of the website he's a really smart disciplined and one of the strongest man on the earth I can tell and since we just restarted the project we came to this area you can check the graphs whenever

actually you want it comes to this section and lately actually the website started to lose a little traffic but in this area actually I explained Source type switch even if you do everything perfect sometimes search engines they prefer renting other types of sources instead of your type your the type of websites from your group and in this case this graphic doesn't belong to our website it is it belongs to the main comparator and they lost like 2 millions in this case actually we were able to protect the website in a really good way the actual

traffic is very much higher than the sem rush says so you you should actually list on this area more if you lose traffic along with your competitors it means that other types of websites are ranking for this type of situations have a brand search demand High F higher page range and have let's say more have less URLs with more value focus on the cost of retrieval concept and this website actually will be processed cost of retrieval case study at the book so to run this second website it is lava cars I already mentioned it and

it is interesting because I am I am working with the Baba cars since it is its beginning it is a really big company and it's an interesting project so that's why I put actually some I put some more details here I registered this website into the Google Knowledge Graph by writing a Wikipedia page with open with my own hands I'm really happy to do that it was a little hard but it was it the main purpose of this section actually I wanted to put rubber cars under the patrol office which is one of the really

big and important websites it is also important because if you check my search stat author profile you will see this case study here unibaby project I will collect all the case studies that I have written into my website you will be able to find them in a really easy way if you check this area again there is a Google search Google Knowledge Graph recording sorry for the pop-up and in this recording actually I have placed this website in a baby under the exact Debussy which is another really really big holding in Turkey so this is

your website let's say it belongs to the really big holding use the holding to make your brand also more alternative if a big holding owns your website or your brand it means that your brand is also re is also let's say authoritative and trustworthy as well it's way much easier for a search engine to trust your real world expertise so use these type of big and alternative entities to to reflect their trustworthiness on your entity as well to be able to do that you have to create your own let's say on end oriented connections for

your own brand identity and this is an example that actually I how I have done it just check these projects a little you can also understand in this area and I did the same also for this website too I actually registered the website into the Google Knowledge Graph then the website actually came to the answer Google Trends as a company and this is how actually it has been seen in the serp sorry about typos and also the next step for me was actually whenever the most important word inside the Google whenever it is search which

is which means actually value my car in this case actually I wanted to appear in the auto suggestions it is easier to do this if you are registered inside the Google Knowledge Graph because Google knows what you do and in this case next step for me was actually relating my company to do this company which is really big company and then it happened too I appeared together with this one directly in this area too to be able to do that actually there are some other ways like opening a couple of profiles there but anyway basically

my purpose here is actually registering myself as an authority relating myself to the most important query then relating myself to the most important competitor once I did it it means semantically I am more closer there focus on this okay so I will continue yeah I also create many local businesses I register the website to the Microsoft being places or Yandex places or Apple Maps and I always use the same same information there projects started in this area right now which is in this section and this is the scmr section so the to run the third

website is a dead colleague near actually over two years we are working together as I say with top one thousand one also belongs to the same website there is a really heavy technical SEO section for this project and this is a technical SEO dashboard that I am using for them and I believe them of course but you can realize my Infamous profile picture here anyway from web security crawl efficiency we used everything and topical map created for nutrients minerals amino acids food toys recipes and more but usually we focus on the calorie deficits or calorie

let's say calculations these are the initial results here these are the another view of the changes as well to run to Fourth website last website this is another SAS company which will have a place inside the SAS SEO project case study which really good amount of details and there are more websites by the way I didn't include here for example I will be publishing a B2B SEO case study with a company from actually NASDAQ but I won't be able to get the name because of the NDA but at least I can give details or some

industry names and of course no Google search console section there but I will I will actually give the methodology or the important sections for the B2B SEO or B2B a search engine optimization with semantics and for this website it focuses on actually the SMS marketing and I have used many other sections in this area I want this is the initial launch by the way and these are the initial results from this section too I won't be giving more details for that area so I have written the key points of the semantics similarity here semantics similarly

helps for improving the context sharpening specifying and deepening these are not random words context sharpening specifying and deepening if you read this contextual search as your case that you will get what I mean you have to communicate with the search engine by giving your context context is everything when it comes to semantic search semantic similarity is connected to the lexical semantics because similar existing things are closely related with hypernyms or hyponyms or melanin types of relations semantic similarity is different from relevance but semantically relevant things are usually too similar or exact opposites to each other

semantic similarity is used to understand the semantic distance between the concepts in topical Maps the title or root of the document is written based on semantic similarity mainly so that document can have a proper contextual Vector in other words end-to-end contextual consistency semantics similar and semantically similar entities and concepts are included in the websites or web documents to increase the overall ranking possibility the new subfolders that are created in the website leverage semantics similarity to use relevance attribution so relevance attribution again it's a concept that I have found but it is actually coming from mainly

googlers so basically if if five pages from your website are there if they are relevant to the topic has six web page that you will be creating for that topic it will get the relevance attribution of the previous five even if there is no internal link so it is about that there are other things there too actually like relevance values but I can go in go go in that later a relevance attribution attributes relevance of a document to a concept to another document for the same topic thus a new query to subfolder helps websites to

close the gap and have higher semantic closing speed between different web folders if you read the how I actually manage I was able to manage reverse these negative effect to the positivity you will get the concept of topical consolidation and Broad index refresh and once you get it actually you will understand the importance of closing the contextual gaps inside your website once you are you are able to do that you will be able to rank always higher the key points for the semantic relevance semantic relevance is different from the similarity and a relevant thing to

another doesn't have to be similar but has to be in complementary relations this section is important complementary relations between the things complementary relations between semantic relevant things are used in lexical relations and semantics lexical semantics help improving the semantic relevance for not leaving a gap in the topical map and the subfolders of the website the semantic relevance is used to measure the distance from a concept to another hypernum path or High Point impact types of concepts are used to measure the semantic relevance check these things you will get what I mean in a quick way

Multiverse phrases or stemming limitization semantic units inside the words or word groups help search engines to combine different possible contexts inside the queries and the semantic relevance has different directions inside the same contextual domain this is important because contextual Direction inside the contextual domain it shows actually your angle what you are talking about and what you will be talking about next stated directly inside the summary section of the beginning of the article so that actually Google can understand why they should rank you or why they shouldn't semantic relevance direction should focus on title the root

of the document so that contextual Vector stays consistent irrelevant Concepts to the contextual domain will decrease the relevance instead of making the document more relevant to the specific context you can actually find the irrelevant con concepts with your brain or you can use some tools use your brain use the most relevant Concepts even if there is no search demand or volume or quality thresholds are too high to improve the semantic relevance I already told that I don't care about the keyword search volume or keyword difficulty and after that everyone started to actually search for zero

zero search volume keywords happy to see that change actually focus on the relevant Concepts even if there is no search demand focus on information not the search demand the key points for lexical semantics Lexile semantics and relations are different from the query semantics understand is really important well checked my YouTube channel there is a video about this you will understand what I mean basically avert might change its meaning from here to here lexical semantics focus on word science disambiguation and word team with connected other words inside a wordnet check the wordnet concept from my website

you will get what I mean vertnet involves the word definitions for different contexts and word roles inside different word sequences a verb might change its context based on the noun or the subject but the connections are patterned in semantic raw labels and frame net check the frame net from other sources I didn't write it yet lexical relations help seos to improve the overall relevance and contextual coverage this concept is important how many contexts you cover not just the topics topics are different from the contexts the context Direction within an article web page or any kinds

of rankable document for an information retrieval system involves the conceptual group from an angle to another lexic relations and semantics for topical Maps help to close the gap while choosing the macro context and Main entity for the specific documents your macro context actually is the main topic of the article main entity should be coming actually from your macro context lexical semantics directly affect the internal links anchor text internal link order or distance between the internal links so welcome to the real semantics my brothers and sisters in the semantic SEO course you will see these Concepts

again please listen again or read again this is the free course already or let's adjust the preparation section I won't be reading these areas I would suggest to read these sections by yourself and these are some of the actual Google designs just for lexical relations and the lexical semantics if you read it you will get actually what I mean in a very much better and with that said let me just continue to do this part a little because the ramps there are some resources that I will be linking at the bottom part again I am

repeating for you to actually subscribe to the newsletter please and this is from Bill slavsky semantic relevance of keywords the most important part here is actually the concept of the semantic distance by the way first time when I read this article it was even long for me because I was working heavily so I actually turned entire article to the nmp MP3 voice record and I listened it many times and I read it again so you read this thing like maybe six or seven times to understand it but most important part here is creating a word

grab from certain types of documents and categorizing these documents according to their context and creating or repeating the same word graph for different contexts whenever actually you are able to check the edges and the notes between two different words from different contexts you actually get different distances it means that based on the context the distance between two concepts will be changing and it will be giving you actual the relevance as well so it is important but most important part actually this creating this semantic relation graph between the words once you get it once you get

these notes let's say one two or one two three so from here to here the distance is three but for that context and from for different document groups it will be changing so understand this concept so that you can actually create better co-occurrences or word proximities or contextual consolidations and as you see it says primary content here too usual patterns actually use highly similar conceptualizations I really misspell slavsky I wish we could get him back okay the semantic similarity concept I will suggest you to read this article before going further because topological similarity is also

important I guess you know what ontology is if you don't know I guess you are on the wrong Channel but read this talks and I'm ontology first they are really Basics and I would suggest you to check this one as special it is important and you can focus on it a little bit let's say text graph Construction this one here is important because it will be giving you text similarity concept and semantic similarity Concept in fact I can show you a couple of things here semantic similarity I didn't publish this but it's pretty simple I

didn't use it that much I just want to check it but you can actually use Transformers from Google to actually check the semantic distance or semantic similarity between these things there are four sentences here I always change only one word then I actually checked the similarity between these things here it is 57 percent the change here is from car to Bicycle it means that this is this is the similarity between them here I change the child to kids and 99 percent they are similar so you can actually get there let's say closeness to each other

like that there is one more thing actually here that I can mention maybe it is it ring similarity or it should be and here this is the actual Android semantics inverting methodology there are other types of different types of algorithms here okay check all of templates read these different types of algorithms normalize similarity 11stein similar to Gerald weinkler similarity you can get the how the search changes actually can understand duplicate content thanks to these strings similar to algorithms and these are the results I have written these things and I actually have checked how similar these

texts to each other for different algorithms as you see sometimes they say they are completely different sometimes I say their exact copy or highly copy it so think like the machines sometimes use programs for understanding machines not for imitating them lexical semantics I would suggest you to read all these things I will publishing some other articles you try to create this type of invert crops for you as you see there are relation types between these things as well has a is a available level you will be seeing these things a lot so this is important

because Stanford is where Google actually coming from and in the query term proximity section you should get actually how a search engine can understand the terms inside the query and how they can actually get the similarity of these terms to each other or other queries it is used for actually a query clustering and here actually these say this is the beginning of this small article it gives actually a simple information retrieval system I would suggest you to focus on actually these tired indexes as well because uh it should be somewhere here here so tired indexes

for different tires of indexes we actually have different types of word lists phrase lists or com combinations of different types of conceptual graphs and we try to check which document is more closer to the which Tire of the index and if you check actually some of the Google designs you will see the same Tire one tire two and tire 3 and here we have different phrase hosting lists you if you don't know what a phrase hosting let's check it later but here is scheduling using hierarchical tires of index servers it is important but Google still

uses the tired index because they say that in the search of the record podcast you should check it and this is designing parsing as scoring functions try to read these things to understand actually how a query can be closer to another query if the queries are too close to each other it means that they will give be giving actually highly similar results and one of the queries will be representative or Chronicle for others if you're able to take the rankings for the canonical query it will be very much easier for taking the rankings for represented

ones I am a little tired sorry but I will be finishing all these parts proximity search it is a way of text processing try to understand what a word proximity Is then try to understand what other types of word proximities are Google still use the word proximity that's why try to understand the concept of the attention span and what kinds of co-occurrence matters as you should be created it is hard to imitate it so be natural be informative but at the same time be a little open or clear in your text so that you can

actually arrange these occurrences I already mentioned this so I would suggest you to check this keyword difficulty or create thresholds case study you see this graph it's actually way much better than right now and these will be published I am taking videos earlier and this will published too query semantics you see the graphs you see these websites here okay now this part let me drink another drop of water so this this design here actually again is actually about lexical relations and also constrains at the same time do not look at just the male part the

important section here is actually grouping different types of entities based on the lexical relations and putting some constraints to them and to be able to understand what kinds of constraints actually can be used for what kinds of different parts what kinds of annotations or denotations can be used by the search engines try to understand it because they will be constructing electrical semantic structure this one here is also important too let me read this part term replacement replaces a word or term including a phrasal term in the original query with a similar word or term similar

terms may include synonyms or near synonyms which is a New Concept from Google near synonyms community and neighborhood acronyms and terms in the same synthetic or semantic category this one here is important actually for understanding the end type or same type of classes if I can actually find another section here they try to understand a little the query let's say query similarities but at the same time this is also important for categorizing some certain types of entities or documents too suggesting and refining user input based on original user input so basically it is for actually

query suggestions but to be able to refine a query you need to First cluster documents and queries together so this one is important as well identify query pairs as you see we focus on queries most rather than documents for now analyze your query payer information select subset of query pairs with which candidate synonyms rank candidate synonyms so search engines usually focus on synonyms to understand but you should also get that every synonym also has an antonym whenever the actual diary if you're able to classify the synonyms in a really good way antonyms will be following

them as well so it means actually signals to how you should be subtracting your topical Maps identifying a synonym with engram agreement for a query phrase It's actually an aggregative methodology if you check this even these sections it will be really good for you because these are a little queries scoring methodologies with different scoring engines and metals as well and these high altering ratio it means that actually if the if the queries are being altered a lot it means that some queries will need to be separated it means it actually semantic distance will be higher

for these ones so you will need to also create a different information three for these things so we have a long road another type of failures that may occur this is about word errors let me explain a natural language query are overly complex query failures for example a query that is semantically complicated is likely to have a large number of lexical matches and dependence relations which can cause failure when they exceed the system's ability to process so I already published the creative processing before but basically if a query has really big amount of semantic connections

to the other queries or other contexts search engines will need to create a mixed search engine result page from different contexts use these things actually for your advantage create bigger and more granular topical Maps it will be helping you if you read the examples in this area it will be really helpful for you to actually get what we mean in this section and probably I will be giving these things to you but this is the design name here handling failures in processing nature language queries through user interactions and this one here so partial query what

is a partial query or how a search engine can complete it for you send a query suggestion request for partial query result for the Powershell query at more results or Island file describe term in the partial query once you identify the term in the query you will need to get the lexical relations and the lexical semantics so that you can actually complete the query or suggest new queries as well so with that said it is a little about query specification which we will be coming there to okay in this case creating query suggestions based on

processing of the descriptive term in partial query if you check the lexical relations or semantics in this area you will be getting actually many different parts of explanations or the examples to understand how search engines can use semantic similarity or the relevance from processing point of view or from constructing for index constructing point of view as well and this is the definition of the partial query a partial query is a query formulated by user user prior to an indication by the user that the query is completed query in some implementation a user may indicate a

complete query by entering a carriage return or character we also process these things actually for auto suggestion Generation by stating the anchor segment but it is another topic I'm real tired let's move on so this is also a this is actually this shop is a query specification I guess let me check phrase extraction using sub phrase scoring yeah this is important to understand word boundaries and Word Sense disambiguation because if certain types of words that's why you see the actual word stemming directly inside now spam filtering you will directly see these things because it's about

actually understanding synthetic structure of let's say sentences with let's say certain types of word seconds or the connections it is also important for actually removing the fluff from the content like removing the Redundant phrases or matching some certain phrases that you use to do certain types of phrase posting so that they can actually construct the index or Tire the index in a proper way this short term by the way it is also used by Martin shiplet in the search of the record podcast whenever you see these things you will getting actually more connections to the

Google directly and if I can come there are too many diagrams here if you read these sections a little you will see how what kinds of sub phrases appear actually inside the query terms or inside the documents because sometimes you can give two or three different in the indices for a query result if some of the query terms include some some sub phrases you will need to combine query terms with sub phrases inside other terms it means that your topical map or questions will change according to sub phrases inside the main phrase so when it

comes to this one here okay let's go top it is about query scheduling using the hierarchical tires Phoenix servers sorry we already processed that while I'm explaining these two and let me explain this because this is also about actually creating let's say lists or groups if you tell y such as X let's say this is a phrase template from the web it means that actually Y is the class X is the instance if a sentence from a document reads the president decides to provide a to important cities such as Birmingham it means that important cities

is a set or class Birmingham is an instance for that so in this case actually you will be creating your topical map and search engine already actually suggests products based on this type of phrase templates extracting semantic classes and instances from text the semantic classes actually come from lexical relations as I say happier than homonym or meronim or holonym at the same time and phrase identification scans over the each document's body and anchors maintains a buffer of the last and words of the text encountered and is preferable between 5 and 200 words a hit is

an event during this iteration over the documents where the phrase identification server adds a candidate phrase instance the phrase map table stored in the phrase data a this section you will see actually some titles or some document examples for certain types of other query phrasifications if you read this you will thank me read queries verification for the people who love following the info I won't explain this thing but you have to read it I am serious about that despite the inventors they are not that famous inside the Google actually but this is a really great

patent or the design or idea so let's continue also online advertising because semantics are highly about advertising you should understand that Google doesn't design new technologies not only for actually increasing the quality or quality of the results they also actually design these things for increasing their advertisement revenue and semantics help them to increase Revenue so you should see the difference if we increase an algorithm for links it means that actually we will be increasing the quality of the results but if in in design or improve an algorithm for the semantics we will be increasing the

quality of the result but also we will be increasing the revenue from the ads so that's why that section is more lucrative for search engine anyway and online advertising in online advertising frequently targeted so that keyword selected by the advertiser are matched to topics that may be identified by online's analyzing the content of the web page on the which advertisement are to be displayed the assumption is that advertisements that are semantically similar to the content associated with the page may be more relevant to the user reviewing the page for example advertisements for mobile telephones may

be matched to the pages in an online newspaper that carries story stories about gadgets or other topics that might be of the interest of the people who might also be interested in buying a new mobile phone even if you just read these samples from search engine you can actually use these things for your own topical Maps as well there are some examples of semantic relevance in this section from Arthur Miller to do some other art formulas let's say and if you want to check this patent here on ambiguous noun identification they focus on the unambiguous

nouns because they want to realize all the entities inside the document so they can suggest better ads if there are three different entities direct inside the document it means it actually links sorry the ads will be changing their context if you if I bring the four one the context will be changing again focus on the title context generation here if I put four entities inside a title context constraints will be changing if you check the last article of the bill slavski you will get it creation of inferred queries for for use as query suggestions in

third queries again this requires actually lexical relations and here we have the query template template I love the word template in semantics but I won't dive in there because if you get the query template actually to be able to get it you need to read lots of things but once you get it it's an amazing tool and this is the query template whenever you see a template even if there is no search demand search engine will be constructing a new serp sometimes you might even tell you that why the results are changing image to query

is not that important usually it is a template and they don't pay attention to the individual instances or exceptions and this is the inferred one it is similar to queryification it comes from actually lexical semantics I won't call it go that deep here just check this user input classification we have used the concept of user input before try to unite these actually with these ones and here actually the user input that you see it always actually follows certain types of semantics whenever we put something here all those possible semantic relations actually create new suggestions and

the same type of relevance calculations happen inside your document too so this might try to understand it actually whenever you put a Fluff to your document you are actually increasing distance from yourself to the query or the query context in this case here from these things from government to the negative to the Chinese the like to the home there is always some certain types of actually combinations and ambiguity or solving to ambiguity is the first task of a contextual search engine because without solving the ambiguity you can't get the context query optimization again we continue

with the queries again to be able to optimize the query for better rankings you actually have to focus on the semantics or a proper let's say a proper query phrase Vacation movies with Vino air Rider and in this case actually you will need to create different types of combinations of these things I mentioned before in the sub phrase section once you get the right combination you will be able to actually phrase if K phrase vacate these things properly these ones and zeros they represent the embeddings then you will get actual different types of let's say

data graphs I will suggest to read this once you read these things actually will get all this case to this buffer in a better way so we receive a query identify the search results for the query determine candidate synonyms similar four phrase of the query from the predetermined list predetermined list remember that derive altered query remember altered query we already see this concept too using candidate synonyms we see have seen this concept before to identify search results for altered query so it's like all the patterns actually talk about the same things but this was important

Tristan app still I am fan of him and here we have this Steven the baker even if he works for the Apple for now but these two are important just for the inventors read is identifying Common Core occurring elements in lists actually bill slavsky has an article for this readable's last you'll get what I mean better but by using some certain phrases inside your HTML lists you can actually increase the relevance and semantics are directly relevant there again we have to recent apps still actually and the Stephen Baker here identifying related terms in different languages

so if you read my multilingual SEO case study there and to guide you will get actually what they mean but semantics are language agnostic thanks to this type of designs if you are able to get actually a semantic relevant terms from different languages then if you're able to unite them together by removing the language barrier you will get a bigger data it will be helping you actually for understanding user behaviors between different languages in a very much better way as well so basically here determines again same thing see nearly same actually let's say actually this

is like a kinds of let's say continuation section and let me just check sorry it is actually the same one but it should be let me just check the diet maybe I should open no I guess it is a comb it's a different one yeah one of them is continuation now I remember sorry because of since I've talked for the seven to six minutes it happens so the continuation section is important but also you see that the continuation section actually changes uh the specific context there that's why because of the highly closed uh diagrams I

just wanted to change the file name and the date as well so again we have some important inventors here actually as spatial I will suggest you to actually check the Mr Hermann and semantic frame identification with distributed word representations so word representation or different types of let's say if you read the semantic raw labels you will get what we mean here both sold both sold or buy sold sell Buy sell they are antonyms but they are coming from the actual same distribution area then you will be able to actually classify these teams in a better

way we can tell you will be able to actually get the concepts in a better way Linguistics semantics focus on the history of how words have been used in the past frame semantic is a theory of the language meaning that relates linguistic at utterances to word knowledge such as event types and their participants so event types here if you check the concept of frame net you will get what this section actually means better unfortunately because of the time deficiency I can't go on deeper for every design here maybe in the future we can do integration

of semantic context information so this one here again it is about lexical semantics even from the the sections you can get them basically but I would suggest you to actually read these things as much as possible from the point of view of document query matching especially this one once you are able to use that you will actually get what kinds of models can be used there I wouldn't suggest you to check this latent Summit in the analyzers that much I don't care about LSA that much but latent sorry for this actually I have the clothes

premium but this thing comes continues to come anyway these section lightens this one latent tricklet allocation this is very much more important than LSA because it is basically used for topic modeling I would suggest we check that as well so these sibling Relationships by the way from this design it is important because sibling relations basil they are actually meronims and they a little bit the holonyms as well and in this case if you create a lexical graph actually it it will be a kinds of let's say a little bit uh horizontal section side by side

stings from the same category and it is actually required for ontology construction when it comes to ontology construction it is highly relevant to the actual product graph as well and I would suggest you to read this section as I say for to create a lexical graph you need lexical semantics so this is the last one okay if you're gonna go to the top query revision using the non-hiring queries so query ranking or hiring queries but imagine that search engine always actually secure scores the queries and they try to rank the queries according to their quality

the query quality comes actually from your choices your choice is equal to user input in this case and you can if you unite all these patterns or the designs you will get half the lexical semantics actually is being used by the search engine for constructing indexing indexes for clustering queries for actually matching documents to queries what are the obstacles that they have what are the advantages that I have then you will be able to use all these things actually for creating better topical Maps or semantic content networks at the same time the concepts here they

are important because the enqueue as I can remember it was it was like neighborhood and queries actually it means or let me just check yeah actually hear about neighbor sorry should be something yeah there are definitions here behavioral similarity is BS there are other types of definitions but maybe I couldn't find them right now we can check them a little later it should be somewhere here but I couldn't find it [Music] um since I talked for so long time I couldn't find it maybe here for instance one of them query query occurrence frequency it is

the qf then of course we also have let's say the quality of the frequency as well or some other sections and there are some query examples here and how they should be scored or how they should be ranked if you read this implementation with these examples it will be better for you and then you can get actually what these type of graphs mean but they are not that much actually hard Concepts I can't tell okay so I finished actually all of these designs all of these things I can tell that this is I guess the

longest video that I have ever recorded so I will suggest you to read this document when I publish it as I say some of these websites they will be coming later on in different case studies and I guess this is the first in the search engine optimization history with this amount of level detail at least so sorry for being tired towards the end of the video I hope you will be able to benefit from this information and I hope you can use these things especially for understanding the incoming semantic as your course thank you for

it [Music]