Task:
Please review the following video transcript and perform a comprehensive edit to ensure it meets professional standards.

Instructions:

1. Correct Grammar, Punctuation, and Spelling:
- Identify and fix any errors in grammar, punctuation, and spelling throughout the transcript.
- Ensure that sentences are structured correctly and convey the intended meaning clearly.

2. Verify Terminology and Concepts Related to Semantic SEO:
- Check that all technical terms and concepts associated with Semantic SEO are accurately used.
- Replace any incorrect or ambiguous terminology with the appropriate industry-specific language.
- Ensure consistency in the use of terms throughout the transcript.

3. Enhance Clarity and Precision:
- Rephrase any awkward or unclear sentences to improve readability.
- Eliminate unnecessary repetition or redundancy.
- Maintain the original meaning and intent behind each statement.

4. Preserve Original Meaning and Tone:
- Retain the speaker's original tone and style to the extent possible.
- Ensure that the edits do not alter the intended message or nuances conveyed in the transcript.

5. Format for Readability (Optional):
- Organize the content into clear paragraphs.
- Use headings or subheadings if it helps improve the structure.
- Consider adding bullet points for lists or key points to enhance readability.

Objective:
The final edited transcript should be a polished, accurate representation of the original video content, easy to read and understand for individuals interested in Semantic SEO.
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So first of all thank you for having me here It's a great happiness to be in Saigon And at the same time I know that there is a party just after that I will also get drunk there So if you come I will be happy Thank you And if you are planning to have like three or four drinks make it like eight or 10 because you will definitely need it because our brains can actually melt down after my presentation a little bit And today actually we will talk about the semantics but everything won't be about that We will also talk about a little bit the reason behind it And we will also talk about the PageRank to understand the logic behind that as well And as you already know Googlers usually they call the PageRank as a kinds of bad word but it doesn't have to be always a kinds of bad word as well So I will answer two simple questions because when I after I published the topical authority case study and after I actually conceptualized that I just realized that some of the link building agencies and I believe some of them were behind the comments on the YouTube video They actually started to talk about a little bit badly about the topical authority So first of all I can definitely tell that I am not against buying links So if you if actually you want to sell it to me after I just go there I will buy some So you can come and offer some some of your links as well And at the same time do I buy links Yes from time to time I also do these type of things as well because I am actually a holistic SEO which means that if I'm able to realize that my website will rank higher whenever it is rainy I will worship to the rain god So that every day actually I see the rain and my website actually goes higher in the rankings So I don't have that much limitation in my SEO whatever works I will be doing that But when it comes to actually topical authority If you think that does it have to make sense So when you look at the SEO we actually do many things and some of these actually practices it actually doesn't have to make sense always For instance in 2016 and 2017 I was actually a manager for a VPN and I was in Istanbul and I was in the black hat casino industry The casino industry in Turkey it's a little bit different because it's illegal which means that really awful people work in that industry on that time And I had really a good amount of PBNS on this time like 3,000 websites and we lost all of them in one day Then I actually started to do some attacks on my competitor So in black hat SEO you always don't try to actually rank higher Sometimes you try to make your competitor to lose rankings So I actually tried to do some DDoS attacks on them then I realized that they even gained more rankings So imagine that you do DDoS and the website increases its rankings more Then I realized that they even never sent they never sent me a DDoS attack even if I sent them because they already tried that So my point here is that when you look at the SEO practices it doesn't always have to make sense Sometimes it just works But if you read it if you read the research papers if you read the patterns or if you read the Pilslavsky for years every day 7 hours after a point you will start to get things And in this case I actually realized that whenever I sent DDoS attack to my websites they were increasing their rankings because Google thought that this was actually a direct traffic to my website I was sending basically a fake traffic to my website and Google thought that okay we have PageRank we also have direct traffic So this should be a brand and we should actually start to rank it higher So then I conceptualized this as rank merge On the web we actually have many different types of things because for instance the porn websites when you look at them they don't have any links No one links the porn websites But I believe many of us here they visit as well So when you look at here porn websites they don't have PageRank but they have traffic Some other websites like university websites they have PageRank but zero traffic So in a way search engine has to find a kinds of balance between PageRank and the actual traffic So that actual links can make more sense In my situation I can tell that PageRank is a kinds of for blind librarian If you think about the blind librarians you will realize that A blind librarian basically tries to understand the relevance but they don't get the book at all If you hold a book like a blind person you will realize that there are some words around of the book but you don't understand the sentences But you have to put the book somewhere into a kinds of shelf so that you can retrieve it back when it is needed So rank merge was just a kinds of helpful thing there But if you think about the topical authority it is not about signals that come from someone that come from this PageRank that that much It's actually basically about understanding the content as much as possible So I can also tell that when I found this concept and when actually I formalized the concept it was a kinds of actually protest not against the link building or the link builders It was a kinds of protest actually against not understanding the search engine If you are able to understand the search engine in a proper way you will always be able to actually rank higher But if you don't understand it you can lose 3,000 websites as I did before in one day Then we actually spent nearly $1 million to understand the Google algorithm and we failed Then actually I started to work in white hat industries then I am here So you all actually know this specific case study And in fact in reality I have sent this specific article to the five different mainstream SEO institutions They all rejected it because they didn't get it and also they didn't believe that The sixth one I won't mention but you know They accepted to publish it but they forgot to publish it on that day So I needed actually to push them harder Then 3 days nothing happened 4th day I realized that there are eight notifications on my phone I said maybe a few people read but it didn't stop with a few people because many of the people or many of the audience here they start to understand So I was about to come closer to my purpose in this case So about the samples Some of the files that I will be showing here it's only for you Probably the online version won't have these things here So you are lucky to be here actually directly in this room So some of these samples I they will also include some certain types of uh internal SOPs that I actually use And I will also give the website name So the first one is the coolest and English website and we actually came from 800,000 clicks to the 3 million clicks in 6 months We didn't use the links not because I am against using links I don't care about that part Just I didn't need to use them And we heavily use semantics on this specific website AI is not used as well It is actually a heavy semantic website but I cannot tell that actually we had to fire five people during the trainings as well So it's not that much easy too So the first thing that I did in this specific website is actually filling the topical gaps because this website here if you check it you will get it It is a kinds of general topic website entertainment architecture social skills There are many different types of sub segments and I had to unite all of them under the personality types Here actually you see that there is a kinds of topical map that I created directly for the personality types The most important section is actually here the publication date Because first thing that you should do once you choose a topic you should always create a kinds of publication frequency If there is no frequency for that specific topic you won't be able to take the attention of the search engine and you won't be able to rank higher And for this part the text section that you see actually it shows a kinds of content briefs that actually I use There are many columns in this area and every column has a different purpose You see the headings you see the article methodology Some people in this room actually they already they have seen these things before as well Anchor text segments annotation text which is the text around the anchor text Nothing is random in this area and sometimes some of these content briefs they are like longer than 10,000 words Imagine the article in this case Sometimes we spend like 2 hours until I configure this specific briefs And in this specific ones you will realize that context vectors or contextual hierarchy contextual structure or contextual connection Basically there are many different types of concepts here but probably I will call these things as basically like core framework or something like that But you should understand that everything here is basically about context Anything you see about semantic SEO is basically about context So simple too This is my favorite business model because we sell a bottle of water for 90 euros So also we need a little bit investment for this project if you want to be part of it We can talk And in this specific website we actually published 27 articles Only 27 we only use PHP people or real experts And with 27 articles on health industry we were able to take this amount of traffic And you here actually see that my topical map I have marketing section mocktails or there's a little bit links separate But it's for internal links And we have a kinds of main topical map as well This is a visualization of the topical map And in this case the section that I actually mark in this part it is the section that I completed the topical map So we were able to complete only 5% of the topical map but still actually we were able to take the overall traffic You see the animation of this topical map here and all the connections they represent the internal links based on the specific type of context And this is the article that I have written this specific website before I didn't mention the name If it's website is still open but soon it will be redirected to somewhere else While it's it's still open I will suggest you to check the articles You can actually see how I am structuring the articles a little bit This specific small chamber that you see here it's a walled part And basically we are competing against Healthline WebMD MedicalNewsToday and EverydayHealth Every click that we get is actually coming from the global authorities in the health niche And this is the basic formula of the topical authority A website out ranks another website for a topic for a certain amount of time and this will be creating a kinds of rare ranking If you are able to prove that you are actually better than another website with certain level of historical data you will actually rank higher But exactly when is the main question So to be able to explain the event section I will suggest you to focus on the core algorithm updates because in my opinion core algorithm updates is when the Google actually refreshes their own network Here actually you see again my topical map and my content briefs and all these colorizations because I use lean management I don't like talking to authors that much That's why I manage them with these type of colors And in this part you see that there is a a kinds of mark So the thing here is that even if we optimize the website we continue to lose traffic Until the core update Once the core update arrived all this traffic actually came back in a very much better way This is an English website on finance And this is about beauty and again health same topical map and the same result Until to the core update we lost traffic then on after the core update it came back So if you ask when exactly this ranking will be happening it will be definitely happening after a core update Until you get the core update you have to show the patience even if you do everything best even if that website is the most quality website on this planet Until to the core update you won't get any kinds of feedback from the search engine So I will suggest you to actually keep going The the article that you see in this bottom part is actually a a kinds of explanation or examination or study for the Google's own ranking and initial ranking studies So you can also read it on my official website Reflecting the main topic of website So if you want to use the topical authority you always need to actually use the main topic And the main topic has to be connected to your actual website's own source context So let's say to understand the main topic of a website there are two segments on a website and it's a little bit different Let's say this website has 999 pages about porn The last page is about Bible which is not possible I don't know what kinds of sick person will create that website Definitely not me But let's assume and in this perfect world everyone is like a saint and they only visit the Bible website or Bible webpage No one visits the porn Not that much convincing but this is just a theory So if I would ask you a question what is the main topic of this website We have 99% of the webpages are about porn But 99% of the traffic goes Bible So to understand the main topic we will be looking at the webpages or to the traffic I usually look at the traffic and this was the reason that I actually explained the rank merge Because even if you have high PageRank if you don't have traffic you won't be able to prove your authority that much You have to be popular or you need to prove it over time So in this case to be able to reflect our main topic I actually create quality nodes So in a topical map when you construct it not every article has to be quality Some of them will actually be less quality and they will be just for covering the specific topic But when you look at the quality nodes they are the most important articles And you have to put these articles to your homepage and you need to keep them closer to the crawlers Sorry This is the second sample the coolest the same methodology I here used as well To change the main topic of the website I create a semantic content network or semantically optimized content network then I put everything to the homepage then I give them to the Google then the Google does the rest I just wait Macro and micro semantics in this area I can tell that thanks to large language models and the future of the SEO with the AI you will see especially the micro semantics a lot So I will be giving you four more samples And this one here I have an NDA and I don't want to pay half a million dollar just for telling a company name But the company is actually from Nasdaq Same topical map and from Nasdaq too we have similar results And I can tell that even if I increase the traffic company's stocks actually they go down And in this part you can actually blame the CEO rather than SEO At least when I talk to the CEO I told this So basically SEO I can tell it doesn't change the stock prices that much This one is a German language website It is important because even if I actually used English language in my topical map in my content briefs I create all of them in English but authors write them in actually German But still they increase the rankings because semantics are language agnostic The same topical map and the same content briefs they will be working also in other languages as well Last example here is Canabis a kinds of competitor to Asena and also Trelogus And the same results are here too This was an existing website so it was a little bit harder to configure things because you can imagine that when you create a topical map for an existing website it is like a kinds of body surgery You just plug a new arm to already existing body and it it has to make sense The person should be able to use it in a good way So algorithmic authorship and content engineering As you know Matt Cutts actually once told that working as an author under Google should be a nightmare So he has a point there because I actually have over 200 rules and it's not that much easy to train humans That's why I can tell that just this week I guess I I have two resignations but I I actually hired five more So I am safe for now So probably if you implement these things you will need to do the same as well So this is a question for explaining the algorithmic authorship to you For instance we have a query here It says what is a penguin And all these three sentences all of them actually explain or define the penguin And if I would ask you which sentence creates the more relevance to the specific question what is a penguin probably everyone would tell something else In micro semantics we just change the words sequences and the word orders or the word compositional ity and we play with the relevance I call it relevance configuration And all in all of my SEO case studies actually this is what I do Even if I'm able to increase the relevance with just 0.1% and if you multiply it with 1 million sentences in entire content network you will be actually ending 
ding up with a higher very much higher relevance as well. If the query is where does a penguin live? In this case actually relevance will be the opposite. For the first query first sentence is most relevant. For the second query the last sentence is the most relevant one. So priorizing the attributes and the context if you have an interrogative term inside the query you always have to understand that a specific type of entity you will need to be using. So in this case if you want to do this specific sentence more relevant to query you have to use a place name inside the sentence on an earlier point. So realizing this type of things is not that easy when you actually do ask you in the real world. That's why you will always need to actually train your team as much as possible. So to be able to prioritize the attributes and understand the context you will always need to understand how to process the queries like a search engine does. If you use actually a single word query like penguin you will need to complete the rest of the query and you will always need to understand all the possible contexts. Here actually during the Rubbers event I created actually a kinds of presentation here semantic search engines and query parsing nearly 80 different Google designs are actually processed here for processing the queries as search engine does. So this is just a look to my algorithmic authorship rules I actually have over 200 rules but this is only some of them and I will be sharing 14 of them just here and they are just the top level ones. And I can tell that in my experience I am able to just implement 39 of them with the authors if I am lucky it becomes 40. And this is actually a code language that I am using inside my content briefs because it's sometimes hard to explain everything to the authors. That's why from time to time I use these type of sections for instance what kinds of a sentence you will be using before the list after the list after the heading or what kinds of a sentence you will be using just after the heading if there is a comparative word I actually configure everything in this area it is a little bit beyond human patience. Sorry. So the first rule is actually be certain. For instance even if it is it looks like a fact if you tell a sentence like sun will rise tomorrow it doesn't mean that actually this is a fact because you are using a wrong modality. Sun will rise tomorrow sentence is just your opinion. Sun rises everyday is actually a fact. If you understand from the NLP you will realize that any sentence with will should or have to or need to or these type of sentences these are not sentences or declarations basically for the fact extraction. Cut the fluff out. This is the second rule actually I give my authors. If you look at these yellow marked areas these are contextless words. In other words whenever you use a paragraph be sure that all the words that you are using they always have a kinds of contextual relevance. If you look at the second one the green marked ones they actually have directly relevance configuration benefits for us. So use numeric values I always tell my authors that do not tell me how many reasons exist or do not tell me that there are many reasons exist. Just tell me there are five main reasons six main reasons or seven. Just use a numeric value in your sentences. Sometimes numeric values are also not good enough and you will need to tell me that for instance six severe symptoms or nine rare symptoms because expertise requires using numbers and in our case studies in all of them I always tell authors to just use the numeric values use the percentages. If I don't see any number in a content I will just understand that this doesn't reflect any expertise at all. The fifth one understanding the context of the verbs. If you look at the verb increase it is actually a verb that signals the health context. Improve actually signals a context for health and skill. Develop signals actually just a skill. If you go to the Google and if you check some of the verbs you will realize that every verb is connected to a different types of context. According to these contextual zones actually the relevance will be changing for them too. So give examples after a plural noun. For instance do not tell there are 40 different cryptocurrencies in Coinbase. After telling that cryptocurrencies tell what kinds of cryptocurrencies these are. And it is important to use these type of examples as much as possible as well. And using part of speech tag if you are able to actually go to the Svalbard you will realize that for certain types of lists I am always actually using certain types of verbs or instructions as much as possible. If I ask a question with how to every list item will always start a kinds of verb. If you check the articles you will realize what I mean. And optimize a subordinate text which means that sometimes the search engine processing systems they don't check entire content. If the subordinate text which means that the sentence after heading if it is not responsive enough they might not check the rest of the article. That's why giving the answer earlier as much as possible with the correct format it is really important. Another thing here is that actually putting the if statements or because type of sentences to the second part of the sentences as well. Actually I have some samples here but most probably from my USB flash drive like that's opened a different file there. That's why we are not able to see some of them but later if you share the original file you will be able to see them. But basically do not tell that A becomes If A becomes B do acts just tell your instruction or your result or the declaration give the condition after that. The tenth rule that I use actually match the anchor text with the targeted web pages title. In this case if you want to use the sleep efficiency in your actual anchor text be sure that it appears in the targeted web pages title and also the source pages heading as well. If you are able to match them by providing contextual relevance to it will be the it will be providing the best possible responsiveness as well. The 11th one is do not delay the answer. If I ask you what are the benefits of the vision boards for entrepreneurs do not define the instance the vision boards there just tell me what is the benefit how many benefits exist which one is most important for what kinds of entrepreneur. And in this case you will need to think a lot or you can use sometimes to get help from AI systems. Another one is bolding the answer not the search term. Basically if I ask what is a penguin do not bold the penguin bold actually flightless seabird because it is the answer section. If you bold the answer format you will be actually signaling the answer part of your text to the search engines. So the instructions be cheaper. This is actually the most important rule that I can ever tell you because if you are cheaper for the search engine they will be able to rank you higher as well. This is actually a Google engineer and this video is from like 11 years ago and sometimes it's true that actually I am talking to the Google engineers. And in this specific screenshot in this area the specific engineer tells that but then you will pay in the cost. Here John Miller tells that because it is cheaper and here the Paul Haahr tells that prove the cost is worth it. So cost of ranking a website can't be higher than cost of not ranking the website. If ranking you is really really costly if understanding your text is really hard for my systems I won't bother myself I will just go to the other website because their content is easier to process and easier to rank as well. So if I ask you a question like which one is cheaper website A or website B. The website A has 600 content items 900 triples and 50 59 accuracy let's say. And website B actually has very much more content more triples more accuracy and more clarity and more topics. For these type of samples usually people actually tell me that bigger websites should be costlier for ranking but it is not true always. Because as a search engine my purpose here is not ranking more websites because if I am able to rank a single website to satisfy 20,000 queries it means that actually is better than better for me. Because to satisfy 9 million search queries I won't rank 9 million different websites. If I am able to actually satisfy these 9 million queries with a single website my cost of retrieval will be lowered. And this is actually how the topical authority idea is came up. Because if I am able to provide the best possible information in a semantically organized way for the search engines I will be able to decrease their cost and they will be able to rank me. So it's a kinds of agreement with the devil. Having the query responsiveness. So query responsiveness is not about relevance. You don't always have to have the relevance to be able to rank higher. When it comes to the query responsiveness it is actually about giving the correct information to the search engine as much as possible. In this images here if you are able to see I guess it's not reflected because of the light but there is a kinds of actual blind library and when you look at the information retrieval any traditional SEO methodology that targets that targets the on-page SEO etc. they actually try to focus on information retrieval. This is actually not the place that I focus on at all. I mainly focus on actually information extraction. Basically inside the information extraction we are trying to understand the sentence structures and we are trying to give the highest possibility responsive answer in an earliest point. To be able to increase your information responsiveness you will actually need to understand how to generate unique questions. This is actually a gift from my book keywords to questions. It actually explains how the search engines generate questions and there I believe if you read 35,000 words you will learn that. And sample nine is aimed to identify creation. This is also about actually the page rank because this person here that you see Amekuler she was actually an ex-wife and I can tell that this is a kinds of feminist SEO case study because the ex-husband has a kinds of really strong media ownership. So in this case Mrs. Amek actually told me that I want to be seen as an ex-wife I am actually a dentist I am a cosmetic dentist and actually I have a business. So why this is actually about the page rank? First of all all the news sources that tell that this person is an ex-wife they have high level of traffic high level of page rank but the thing here is that the sources that I used they have they don't have page rank they don't have that much popularity. But even if they are not that much rich in terms of let's say historical data or even sometimes topical authority I was able to convince Google that this person is not an ex-wife actually the person is a dentist and also a cosmetic dentist in Istanbul. It's like a kinds of having a propaganda war for the search engines because one side says that ex-wife ex-wife ex-wife other side I'm telling that no no no not ex-wife dentist dentist dentist. And it is like actually competing against your competitor for telling something more frequently if with better sentence structures and that's why I am actually mentioning the microsemantics a little bit more here. So understanding the comparative ranking this is also important because inside the comparative ranking methodology even if actually if we all use chat GPT here even if we all use AI or even if we all actually get the semantics in a really well way we all will be creating different types of websites and at the end of the day the quality threshold will be increased and actually this creates a kinds of problem because even if your methods work right now it will be working until someone else that understand these things in a better way come to your industry as well. So to be able to understand the future generative AI search I actually have some case study samples that are too. This website here it is about alcoholic drinks. Here you see actually the taxonomy that I have created before and at the beginning we were actually taking like 2 3,000 clicks then we actually went to the 60 5,000 clicks a day. One day we woke up and Google actually punished us and everything became actually zero. It was a manual penalty because they can't punish these type of websites algorithmically it's not possible yet. And then we have started to take actually the traffic back again but it is around always like 4 to 5,000 like as before. The thing here is that I would suggest you to use AI but if you want to use it do not use it directly and do not publish like 400 500 content items a day. Try to increase your frequency and momentum slowly and at the beginning start with the human effort then you can actually move on to the AI. It will be more healthier to communicate with the search engine. This is actually how it looks like inside the Ashraf's and this is actually the same structure I have created a web page layout I created actually a kinds of template and a taxonomy and it goes up it comes back. So this guy is already inside the room. If you want you can talk to him there then and you don't need to use always AI for instance in this example actually we have used human approach as much as possible and it was actually more successful than AI. This is my room and sorry for looking like that and in this case here too the training and the results are here too. There are also these type of websites I call them like ultra AI search and this website here actually takes nearly over 15 million clicks a month. Everything is with the AI everything is let's say some cheap stuff but at the end of the day still it works until someone new actually comes to the industry. But it doesn't have to be like that like like to be like that always. For instance this one here it goes through the over 5 million then that it actually comes back as well. These last two websites none of them are actually English one is from Indonesia the other one is from Brazil. So I would suggest you to go to these languages as well. It would give you actually more experiments or experience chance as well. So when we look look at the large language model optimization for SEO this section is actually from the Google's own quality rated guidelines. They clearly state that human effort human effort is part of the quality. Even if you create the best possible content without the human effort it might be seen as non-quality and non-expert at all. So these seven steps that I find I believe this will be our SEO or traditional SEO methodology for the future 3 to 4 4 years I believe. We will always find tune a language model we will create a topical map we will create a amount content network. Then we will generate content a human actually probably expert will be changing the content and at the last part we will actually improve our knowledge base and making our knowledge base speaking AI. Imagine that you actually include the best possible expert content on your website and your website starts to talk to your clients or your customers based on your own information. If you are able to prove your authority they will come to your website and they would give your prompts or their prompts to the their your your content as well. So when you look at here anything that you see in this area these are actually a kinds of knowledge base. Some of these knowledge bases they have like 8 billion facts some of them have like 55 billions of facts. So if we find a knowledge base for our industry the next step is actually verbalizing it. In this case Google has a sample for that. If you look at here from a knowledge base Google actually verbalized that specific triple. This is actually called data to text. If you are able to do it actually for like 55 billions of triples it means that actually you will be getting a kinds of expert level website. But if you publish everything suddenly since you don't have historical data or a brand it will be really hard to rank and you will definitely actually exceed the threshold as well. The example here actually suggests you to use the natural language inferences and there is an inference sample here. For instance if you use a sentence like we paid 20 at the Buckingham Palace gift shop and if you don't tell the currency this specific NLP system can understand that it actually it is actually pounds. Because Buckingham Palace is located in UK and the pound is the official monetary currency of the UK. So in this case you should understand that this type of inference methodologies they are quite expensive. So that's why in your specific method I will suggest you to actually have these things without giving any kinds of need for these expensive algorithms give your sentences clearly so that it you can be actually cheaper as I suggested before. Another danger for us is this watermark technologies because right now AI is able to detect AI and in this specific research the specific researchers here they claim that with 98 pp 
percentage of success they are able to understand whether the content comes from a human or whether it comes actually from a kind of LLM. In this case if it comes from the large language model they use just shortlisted or blacklisted words and whitelisted words. So as I say every word is connected to another word in large language models. And usually we humans we are a little bit unpredictable. If you check my articles you can see that for instance I always tell in this context it's like my signature in my content a kind of phrase signature or statistical signature. But when you look at to the LLM they are able to imitate anyone and it is the thing actually that we can use for catching them. The article here is about Google author vectors basically you can actually get your author authority further and further proving that you are staying in that topic as much as possible. If you want you can read it too. So who is going to win? We all have large language models. I have a stronger CPU but I am not sure that it is the strongest and and we have GPUs and we have other things we have also content but who is going to win at the end of the day? This specific era of the SEO the SEO who understands not the SEO who imitates. And to be honest the reason that I didn't launch my course like over 2 years probably sorry this actually similar to that too because I feared that after a point people might try to imitate me but it is not actually my purpose there. Always try to focus on understanding rather than imitating someone. So the last part here we will try to show you a kind of quick showcase how a search engine processes a text and how they see it. This is actually a Google patent as well and they talk about cross-lingual information retrieval. The sentences from similar languages they create these type of word embeddings and I try the same thing in this specific tool I give actually 40 different 40 different sentences from 40 different languages but the thing is that I always tell the same thing. At the end of the day the languages from the same region or geography they create a closer embedding to each other as well as in the research paper. The thing that you just see in this area all these things are actually word vectors or the word embeddings as well. You can also create these things if you know a little bit coding. And if I move further you will realize that we just zoom in to this specific actually word vectors. The distance between these bubbles they actually represent the semantic distance between things. If I move on this one if you click one of these things you will realize that that word vector highlights other related ones semantically. In this case this specific thing that you just you saw it is actually already explained in Google patents as well so this is how strong Google is. But they feel us whenever I you as you realize when I say Google it just buzz so I blame Google as always. So if I gather things back basically the things that you see on this screen they actually represent different types of knowledge domains and there are like millions of different ways to unite knowledge domains to each other by using different types of contextual zones. If you check this specific context zones you will realize that when I click to to ultrasonic the cleaners are highlighted and when I click to the cleaners you will realize that quartz is highlighted but if I I click to quartz ultrasonic is not highlighted anymore. So I will wait like 6 7 seconds so that you can actually watch it one more time because you are able to see how things are connected to each other with what kinds of ways because just after this slide we will see actually a kind of real showcase of that. Yes. If I move on and if I search this specific thing I will realize that hexagon is actually an ultrasonic wave type. So in this case this is the main context of this specific connection. And if you need to create a topical map you will need to understand that and if you need to cover more you will also need to understand how these topics are actually bordered and what is my source context and how actually I can connect these things to each other. A way of doing these things is actually scraping all these specific ranking web pages then you can create a similar methodology here. Here you actually see a text graph and this text graph actually represents all the existing word connections in the top ranking web pages so that you can actually configure your own content. Here actually I need to tell that in my SEO case studies I I don't use any kinds of tools and I don't support being a tool dependent person but if you are a beginner these type of tools might be helpful for you as well. In the next sample you will see that actually what are the main topics here for instance if you search for quartz and cleaner quartz cleaning is the main topic but if you want to rank there you will need to create a kind of logical connection between your website and for this specific context vector. If I do the same for cleaners and ultrasonic you see that actually the connections changing and main context and main topic also changes too. Cleaning machines ultrasonic cleaners or again wave cleaning it happens too. And after every vector we see the main context terms like clean machine cleaning or wave surface and the dirt. If I do the same for the quartz and ultrasonic you will realize that all the specific text connections changes and in this case however you actually construct your own document with the headings and with the paragraphs or the internal links you will need to understand all these possible connections not just for these a few queries but probably 20,000 queries as well. And usually for this one too we see aromatherapy design and your website might not be about that at all but this specific context term crystal might be relevant to your topic a little bit and you can try to connect it to your own website with the topical map as well. This thing here it is actually for optimizing large language models and in the near future you will be using these type of things. If you generate contents you will realize that some of the content pieces that you created they don't have proper relevance. This tool is actually launched by Google in this case you will see that there is a language model and in this section we actually realize that certain types of words are connected to certain types of words. At this actually right bottom corner you see how these word sequences are actually shaped and you are able to change these connections. If you want to create a better content on scale and as I say before too there are databases with 55 billion facts. If I if I am able to actually find them in my language model in a better way it means that actually I will be increasing my relevance and responsiveness. Even if I am able to do it one or 0.1% better than you it means that actually it will be multiplied at least 55 billion times which will be creating a huge difference at the end of the day. This is another showcase actually how these word sequences are connected. If I use a specific type of sentence here all the words are connected to each other in different ways and you are able to calculate these these let's say possibilities and you are able to also manipulate it too and I call it actually sequences modeling. In this part this is actually my internal file this is how actually I train people sometimes with manual ways. I always tell people that give me a search query then I tell the person that just generate questions. Just generate questions it doesn't have to make sense at all. And then you will need to interpret these questions then you will need to write the content of these questions and you will you will need to actually write phrases that can appear inside these questions and answers. Then after you process your query you will need to start creating the possible document design. You will need to write a document title to rank for these questions then you will need to write source context document context and you will need to create an information tree and you will need to write the possible answer terms. The thing here is that the source context and document context they are really important because these two things have to be connected back to the query context. If you are not able to create these contextual connections properly there will always be a semantic distance and contextual gap between you and between the query. This is why usually in traditional SEO we go to the answers like more contents more links or more text etc. but it is not the always answer. Sometimes I delete half of the content it actually ranks higher as well. In this case I will show you a section that I call it relevance configuration. There are two sentences here. I will read both of them and I will be telling the exactly the same thing with different word orders. If I tell financial advisor helps families to achieve financial independence or family families achieve financial financial independence with the help of the financial advisor both of these sentences actually mean the same thing. So from this point I can tell that both of these things are acutely helpful. So sorry for saying that but helpful content update can go to hell because it is not always about the actually helping to people it is about increasing the relevance because both of these sentences are acutely helpful but one of them has higher responsiveness and higher relevance. If the query that you target is financial advisor and if the context is united with the family go with the sentence at left you will realize that financial advisor there actually has a heavier weight. If you check the right section there family comes before and together with the financial independence in this case sentence has to have the families earlier as well. So to be able to increase the relevance and to be able to increase the responsiveness you will need to understand these word sequences and especially if you generate content in bulk by using large language models and AI you will need to get your hands dirty. And here we have an example actually from from Google's own support forum even if there is not that much support there. Basically here actually the person asked that I have searched for where to buy purple yams and you give me results for sweet potatoes. Because the word purple here signifies sweet and yam signifies potatoes. This is actually called dense retrieval but if I explain that we can't go to part and can't get the ranks so I will skip that. So what's the game of the Google in this case? So what will Google do actually to stop us here? And here I can tell that I am glad that in Asia there is no Googlers so I can talk about them as much as I want. So this is actually a research paper again from the Google and here they talk about response generation because this is our next level right now because we don't rank web pages that much but we actually rank the responses. And here Googlers and I believe Dr. Nayyar is one of the researchers here and he is really important person and Donald Metzler as well and here they tell that hard part is not generating the responses with Google Bard or whatever the hard part is actually giving diverse perspective making answer answers accessible and also the accuracy. And Jeffrey Dean actually from Google Health he also tells that response generation is not hard for from technological point of view it is hard for us because it can make us feel shame because as you know in their showcase they have given a wrong answer and probably probably was there too and they lost like I don't know lots of billions. So basically these are the metrics that they target alternative transparent unbiased diverse perspective and accessible but they are actually really far away from actual results. So we all know where this animation comes from but I believe no one checks the actual Lambda research paper. You see the same word sequences here too how these sequences are connected to each other and if you check the actual Lambda research paper you will see that they have a few actually quality let's say filters or criterias. Groundedness safety interestingness specificity and sensibility these four things actually or five whatever they are the most important things in this specific research paper. To me the most important one is groundedness because topical authority is actually about being the consensus source. If you are able to be the main source of information on a topic your competitor will rank if only they imitate you. If your competitor has to imitate you to rank higher it means that you can actually tell whatever you want after a point but of course don't go so far just stay in the reasonable circle. So lastly lately and also I started to create a holistic SEO community because I realized that I am coming to 30 and it's not possible to read actual research papers like 7 hours a day. That's why I need a community and if you want to read these research papers and if you want to create case studies you are welcome. You can just actually search for us in Facebook or other places and select the telegram etc. we are there. Semantic SEO course some people wait over 2 years some people wait actually 1 year but if if I would launch it like 2 years ago no one would get it. Right now at least we have a basic understanding with each other. So it will be coming in March probably in 3 weeks and we will be meeting there as well. And before the finishing I want to thank to the dear <PRESIDIO_ANONYMIZED_PERSON> for following me to the every continent and to the year Matt Digidy for actually for his endless support and also encouraging it for sharing more information and to the Robert as well for his endless friendship as well. So lastly this term is coming from this guy here whatever works had. So I don't care about people call me black hat white hat I really don't care it whatever works had is basically actually my mindset here and this is my motto black is the new white. Thank you much. 
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