Lesson 58: Using Boolean Questions in Queries
Key Takeaways
Core Concepts
Main Teaching
lecture of the semantic SEO course in this lecture we will try to understand another content brief with the same principles and in this time we will also talk about slightly the quality notes and if you look at the structure that we are taking from the queries this time one more time we will actually see that the health line is here then again medical news today is here too this is the website that we are trying to outrank overall and this is the web page that we are trying to outrank for this specific contextual domain and when we look at the contextual vector that we have created one more ti...
Koray's Terminology
| Term | Meaning in Context |
|---|---|
| Semantic Content Network | Collection of connected, semantically optimized web documents organized for comprehensive topical coverage |
| 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 |
| Contextual Hierarchy | The arrangement of heading levels and content weight that determines which context is most prominent |
| Macro Context | The main topic and primary context of a web page, processed in the main content area |
| Contextual Domain | The broader context that unites different knowledge domains through entities and attributes |
Practical Application
- Create a content brief using Koray's contextual vector methodology
- 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 SEO course in this lecture we will try to understand another content brief with the same principles and in this time we will also talk about slightly the quality notes and if you look at the structure that we are taking from the queries this time one more time we will actually see that the health line is here then again medical news today is here too this is the website that we are trying to outrank overall and this is the web page that we are trying to outrank for this specific contextual domain and when we look at the contextual vector that we have created one more time actually we have an explicit question query which means that we will be focusing on the specific question and once we ask a bullion question like is drinking cold water bad for you then we actually also add certain types of context terms like risks and the benefits in this case the risks and the benefits they will be multiplied while this specific macro context has been processed the terms like risks and the terms like benefits they will be actually processed together with the drinking cold water so we have seen drinking water benefits of drinking water drinking too much water and right now we are focusing on drinking cold water so this is the most important noun directly inside our macro context and these risks and the benefits they are actually multiplied and used together with this specific context and the explicit question query is for especially increasing our overall relevance there is one thing that won't change in information retrieval and it is directly increasing the coverage or increasing the similarity between document vocabulary and the query vocabulary whenever one of these things appear in these in one of these areas it will be increasing the coverage and the relevance using our overall relevance but of course things are not just like putting these things out of these areas is actually it requires understanding all these contextual search principles as well so one more time we will be using the specific sections in this area for instance we have words like ice water which is also relevant to our source context because we are not an ice water brand here but it is arctic water brand at the same time and when we look at to do this part to our contextual vector we ask the Boolean question we add the context terms and we know that it will be multiplied together with the specific main entity that we are using and the predicate here and then here we ask the risks one more time risks and disadvantages we tell this time we are using a conjunctive word here to be able to target both of the sections and which body parts can be affected by the cold water and why the cold water my teeth hurt when i drink cold water and in this case you will realize that there is h3 and h4 here the same reason here is actually creating different types of subsections inside our article one more time and while doing that the teeth is part of the body that's why it is coming after that actually then we ask the benefits and as you see it is reflected here too first the risks then the benefits first the risks then the benefits then we ask a boolean question another boolean question if you have a boolean question in your macro context using actually its similar variations inside your contextual hierarchy it will be helping you further and then who should drink cold water and should pets during cold water how much cold water should you drink in a day which is again similar to the question that we have seen before as you remember even from the root of the semantic content network we were linking a highly similar question like this and it is directly here too how much water should i drink a day one more time we are using a highly similar question with a slight variation this was what happening in the previous section too and at the bottom we are using an antonym hot water in this case we are telling the word but we are using the hot water in this area and here we're using a comparison and from there we are linking somewhere else in the future we will see these comparative articles and the versus and or or like terms inside the queries and how they actually help search engines to create different indices but this time as you realize here too we created a contextual vector based on the queries that we have seen this area again there are two columns one is for being classified together and outranking it overall when you look at this part especially we try to keep it short as much as possible because usually in the boolean questions our purpose is just answering the question with a high level of certainty and from there we will try to connect it to some other parts in the next lecture we will look at the article methodology and the anchor text that we have used for this specific article thank you