Lesson 26: Contextual Coverage and Contextual Flow
Key Takeaways
- So there is always an issue there.
- And if you understand the system in this area in a really good way, it's something that AI can't do, to be honest, which means that you will always be protecting your value in the future.
- The macro context will need to be touched all the subsections, and there will always need to be a connection for every subsection as well.
- And we always justify our links with the concepts that we are using, and we always connect these attributes each in the appropriate way as well.
Core Concepts
Main Teaching
lecture of the semantic sr course in this lecture we will be talking about two main concepts one is contextual flow the other one is the contextual coverage so contextual flow explains where we are taking context from and where we are leading it to the contextual coverage explains which part of the article is the heaviest part in other words if we will be using an ai system to summarize your article and if you would ask the question of can you give a summarization or can you tell us what this article or web document is mainly about or what it actually aims and imagine that the article doesn't ...
How It Works
Imagine that I don't want to go to the chat GVT or the topic of SEO. Imagine that I want to go to your website because I trust your, actually, intelligence and information for that. Imagine I don't want an aggregated human or aggregated answer from the open web or all the books. I want your knowledge base.
Why This Matters
I want your web source, the web source that you actually created to answer my question. I won't be actually going to that specific web page that time. Or even if I go there, there will be an input area. And I will be asking my question, as in the chat GVT, directly to your website.
Implementation Notes
And from there, this specific thing actually will start to be happening. AGI-based information retrieval. Which means that if we use artificial general intelligence and artificial generative intelligence in your website, when I ask a question, that specific system will need to retrieve all the documents that are relevant to my question. And they will need to take all the answers and the most relevant parts from all these documents.
Koray's Terminology
| Term | Meaning in Context |
|---|---|
| Topical Map | Content network design based on semantics with core and outer sections, processing a central entity with main and minor attributes |
| Contextual Flow | The order in which contexts are processed, from first heading to last, creating the document's relevance |
| Contextual Coverage | The weight and space given to a specific context within a document relative to other sections |
| Macro Context | The main topic and primary context of a web page, processed in the main content area |
| Extractive Summary | Summary created by extracting key sentences from different article subsections |
| Abstractive Summary | Summary created by rephrasing and condensing article content into new sentences |
Practical Application
- Map out the central entity and source context for your project
- Study the concepts presented in this lesson until they become intuitive
- Review the related case studies mentioned by Koray for real-world application
- Practice identifying the key terminology in your own SEO projects
- Apply the frameworks discussed to a test website or content network
- Revisit this lesson after completing later lessons to deepen understanding
Connection to Framework
Full Transcript
lecture of the semantic sr course in this lecture we will be talking about two main concepts one is contextual flow the other one is the contextual coverage so contextual flow explains where we are taking context from and where we are leading it to the contextual coverage explains which part of the article is the heaviest part in other words if we will be using an ai system to summarize your article and if you would ask the question of can you give a summarization or can you tell us what this article or web document is mainly about or what it actually aims and imagine that the article doesn't or let's say that specific summary solution doesn't mention even your purpose or most of these sections so to be able to explain both of these concepts I actually use the italic marking for some of these sub-parts you will realize that we are mostly use we are mostly using some certain types of attributes of the specific entity and while doing that we always focus on the location of the country as it appears in this area too and if you look at here we ask actually the continent which is connected to this anchor text and we will be talking about the contextual connections in the future section but if you don't understand the idea of keeping everything on the message of this article then you will realize that here is thecont donut which call them in this area in a harmony you won't be able to get the main lesson or the essence of this system which means that when you put actually your first heating to here you will need to be thinking about and sensing your actual last shading and from last heating you will need to sense your last and after the first anchor text and from there you will need to actually sense entire hierarchy and entire structure that you are creating according to a few instructions that you put in this area you will need to add a few more things here or change the order of these things and change the hierarchy one more time and from there you will need to change actual order of your anchor text for instance why this is the first anchor text and why is this is the last one and why we actually have these type of distances between them to be able to understand that you will need to understand the concepts of contextual flow and the contextual coverage so if we just represent these things with a simple visual visualization it will go like that imagine this is our web page and this is your macro context area and also general summary and here let's say we have this type of a single heating then imagine here we actually have 49 more headings the value would be using a certain type of ai a summarizer for your article the ai will tell me that actually article is mainly about this specific attribute but your queries that you are targeting for the query network they're about many other main things so there should be a justification for actually giving most of the weight to this area or contextual coverage to this area and imagine that you are not linking somewhere from here imagine all of your links in these parts which means that they won't be passing any relevance or prominent signal because this article is nothing about that this is also important for one more future seo concept if you have listened to my actual assignment speech you will use it and you have to remember this section definitely i directly told there that the future of seo is about taking knowledge bases improving knowledge bases creating knowledge bases and verbalizing them once you verbalize them you will need to come to this course or systems like that and you will need to understand how to organize information and to be able to do that you will need to upgrade your thinking skills and also let's say your mindset it's not about tools anymore after a point or until a point tools can help you but eventually you can't keep correct your mind you can't keep Eventually, the SEO who understands these principles always will be actually dominating the industry. So, even if we give you the strongest AI system, still you will need to be distributing that output in a proper way. Imagine that. Even don't imagine it will be happening, like, probably while you are watching this. Let's say, right now, at the moment, all the websites started to actually talk. Imagine that I don't want to go to the chat GVT or the topic of SEO. Imagine that I want to go to your website because I trust your, actually, intelligence and information for that. Imagine I don't want an aggregated human or aggregated answer from the open web or all the books. I want your knowledge base. I want your web source, the web source that you actually created to answer my question. I won't be actually going to that specific web page that time. Or even if I go there, there will be an input area. And I will be asking my question, as in the chat GVT, directly to your website. And from there, this specific thing actually will start to be happening. AGI-based information retrieval. Retrieval. Retrieval. Which means that if we use artificial general intelligence and artificial generative intelligence in your website, when I ask a question, that specific system will need to retrieve all the documents that are relevant to my question. And they will need to take all the answers and the most relevant parts from all these documents. So there is always an issue there. If answers are conflicting with each other, the situation will be bad. Because there is no answer it needs. And if the answers are good, but let's say all of them are good, then it is also a problem. And that's an issue too, because the system might spend more time or they might not know which answer should be given. But if you actually arrange your contextual flow, and also if you are able to arrange your contextual coverage properly, and if you are able to point the contextual connections with the proper order, distance, and also the prominence, it means that you will always be telling the system that, what that page is about, where context is coming from, and how it is transferred to the next section. And how these links are signaling the most important and efficient and quality part for that question, which means that you will always be giving actually the best comprehensive answer from the most relevant part of the document, which means that actually it will be very much easier for that user to get the answer from there. So in the future, near future, and if you watch these things in the future, it's like past four years or the current time, which means in the future, or just now, the websites will be talking or they are talking at the moment, even I am coding that right now. You will get the knowledge bases, verbalize the knowledge bases, improve the knowledge bases, create semantic contact networks, topical maps, and arrange your contextual weights, coverages, and the flow, and just distribute them. So please listen to that Saigon speech a few more times until you get this essence, because if you don't want to be wiped out from the industry, you will need to get this. And if you understand the system in this area in a really good way, it's something that AI can't do, to be honest, which means that you will always be protecting your value in the future. Even if I create 1 million documents and you create 1 million documents, he create 1 million documents, imagine that we all also use the same knowledge base for creating these documents. The winner. We'll be coming from these micro optimizations because one of us will be able to optimize and organize all the information in a better way. And that person will be able to actually rank inside the chat, maybe to inside Microsoft. I say new, new Bing search or Google Bart, and also the regular results and the users will be coming to your website for asking these questions. So if you check this area one more time, you will realize that as we explained before, there is a proper context of flow. Every section has been actually arranged ac...