Lesson 38: Central Entity and Source Context (Quality Nodes)
Key Takeaways
- So, this is the 34th lecture of the Semantic SEO course.
- In this lecture, we will focus on the content briefs that we have created, which is the first step of creating a semantic content network.
- And our central entity here is actually the water and source context is actually luxury water, which is again a type of water.
- But the main issue here is that Svalbard isn't just a luxury water brand, it is also an arctic water brand.
- And arctic water is relatively more expensive than the other types of water, which is one of the attributes and the meaning conditions that exists inside the luxury water again.
Core Concepts
Main Teaching
So, this is the 34th lecture of the Semantic SEO course. In this lecture, we will focus on the content briefs that we have created, which is the first step of creating a semantic content network. So, as you look at here, you will realize that the concepts that we have used before, like the central entity, then the central search intent, and the source context, they are actually distributed in this project as well. And our central entity here is actually the water and source context is actually luxury water, which is again a type of water.
How It Works
But the main issue here is that Svalbard isn't just a luxury water brand, it is also an arctic water brand. And arctic water is relatively more expensive than the other types of water, which is one of the attributes and the meaning conditions that exists inside the luxury water again. And when we unite the concepts like arctic water and the luxury water with each other, we will get the actual quality of the water together with the justification for the price. Which is again, connected to the luxury water.
Why This Matters
And our purpose here, the central search intent that will be seen in the entire website with the site-wide engrams and the phrases, topical entries and the context entries, it will be actually drinking water. And we directly reflect this concept, the drinking water directly in our root document. And it will be reflected in the root of the root document, which is also the root of the semantic content network. So whatever you do, you can even actually use these things in chat, gbt or these type of systems in the future.
Implementation Notes
Because right now we are using these type of systems with like single sentence prompts. But in the future, in the context of search engine optimization, maybe we will be even using 2000 words of prompts, just creating a single document with the best possible way. We will write, we will be writing like rules for sentence structures and we will write, write some certain types of other context terms with a certain types of prominence scores then we will teach the machine to how to structure entire document and all these things will be averaged to 2000 words and once everyone does it in that way t...
Koray's Terminology
| Term | Meaning in Context |
|---|---|
| Semantic Content Network | Collection of connected, semantically optimized web documents organized for comprehensive topical coverage |
| Central Entity | The entity appearing in every subsection of the semantic content network, both in main and supplementary content |
| Central Search Intent | The unification of central entity and source context, reflected site-wide in all content |
| Source Context | The purpose of the brand identity and how the brand monetizes its content |
| Contextual Vector | The ordered sequence of headings and content that creates a straight-line flow of context through a document |
| Macro Context | The main topic and primary context of a web page, processed in the main content area |
| Phrase Taxonomy | The structured classification and ordering of phrase variations and sequences |
Practical Application
- Create a content brief using Koray's contextual vector methodology
- Audit your internal linking structure against Koray's anchor text principles
- 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
Connection to Framework
Full Transcript
So, this is the 34th lecture of the Semantic SEO course. In this lecture, we will focus on the content briefs that we have created, which is the first step of creating a semantic content network. So, as you look at here, you will realize that the concepts that we have used before, like the central entity, then the central search intent, and the source context, they are actually distributed in this project as well. And our central entity here is actually the water and source context is actually luxury water, which is again a type of water. But the main issue here is that Svalbard isn't just a luxury water brand, it is also an arctic water brand. And arctic water is relatively more expensive than the other types of water, which is one of the attributes and the meaning conditions that exists inside the luxury water again. And when we unite the concepts like arctic water and the luxury water with each other, we will get the actual quality of the water together with the justification for the price. Which is again, connected to the luxury water. And our purpose here, the central search intent that will be seen in the entire website with the site-wide engrams and the phrases, topical entries and the context entries, it will be actually drinking water. And we directly reflect this concept, the drinking water directly in our root document. And it will be reflected in the root of the root document, which is also the root of the semantic content network. So whatever you do, you can even actually use these things in chat, gbt or these type of systems in the future. Because right now we are using these type of systems with like single sentence prompts. But in the future, in the context of search engine optimization, maybe we will be even using 2000 words of prompts, just creating a single document with the best possible way. We will write, we will be writing like rules for sentence structures and we will write, write some certain types of other context terms with a certain types of prominence scores then we will teach the machine to how to structure entire document and all these things will be averaged to 2000 words and once everyone does it in that way then the prompts even will go longer imagine the articles then the fact checking will be coming and of course most of these things will be done over certain types of apis maybe in this course you already have seen that actually i published my saigon speech because the saigon speech that i have given it is the future of the seo and 100 percent it will be happening so let's move on to the root of the entire semantic content network here if you look at in this area you will realize that the first thing that we always be looking at is actually the queries so when you look at here you should realize that there are three different columns here in the previous project there was only one and usually if the topic is ymyl and if i am creating columns i will be looking at the content that i have given quality notes and i will explain what it is later but basically if i am trying to exceed the quality thresholds i usually use three columns the first column come comes from the first ranking page and the second one doesn't have to come from the second ranking web page it should be slightly different this one is an educational website that's why i have it directly here and the other one in this area is the health line i am choosing health line because it's the first source that i am trying to outrank with all these articles if i am able to outrank it i will be able to classify with all these author the websites then i will be proving my authority and i will be getting my authority state to go for other topics so in this case this is for ranking for this specific context and this is for actually being classified with others and what is the third one the third one is actually focusing on the phrase taxonomy basically i am getting this specific phrase then all the other variations are or the combinations are the different types of phrase sequences of the same context this is slightly related to the dense retrieval but basically you will need to understand when exactly we are talking about a different context so first we will give most of the weight for for question generation and contextual vector creation to this point then we will be adding many other context terms from this area so that we can actually outrank this one and at the same time we will use this one especially for the internal links because we have different types of water for instance we process the lemon water already but we didn't go to the coconut water we have a few things for alkaline water in the context of pH level especially but we don't always need to create actual different types of web pages and lemon water is very much more connected to the health which is implied in scientist benefit which is implied or comp or completed further with the verse like physical psychological and other types of attribute signals so in this case coconut water would be more relevant to the recipes but lemon water will be relevant to the weight loss or fat burning and other types of contacts you will need to feel these Denses as much as possible because not every word inside the query has the same weight and if some of these words do not have any weight which means that they will be under this root context or it's they will be some other under the some other types of contacts for instance we also process the hot water in a similar way the next step you will need to do is actually multiplying or creating different types of combinations from all these things directly through these area for internal link creations and of course macro context will slightly different sorry for driving all these arrows but I need to first explain the logic in these queries then we will look at the context vectors easily in the next lecture