The biggest issue is that we don’t understand where to start. The second major problem is figuring out how to find and filter data based on the attributes: 1. Popular 2. Prominent 3. Relevant.
First of all, you must watch the KorayTugberk GUBUR course at least 3 to 4 times. Then, watch as many case studies on YouTube as possible. Read all the blogs on HolisticSEO.digital and also check out Hamid Khan’s YouTube channel, where semantic SEO is explained in a very simple way.
Once you go through these resources, you will start getting a complete idea of implementation. The best part is that everything is interconnected. As you work on one thing, you will automatically get an idea of the next step and how to complete it.
Obviously, we need to finalize Central Entity, Source Context, and Central Search Intent first.
We must proceed goal by goal. The first goal should be identifying topics based on ontologies and taxonomies. You need to stay focused and perform one task at a time. Once it is completed, set a goal for the next step.
There are three methods to find entities, derived entities, and attributes:
1) Query Semantics
2) Lexical Semantics
3) Authority Hacking (Competitor Analysis)
1) Query Semantics
Query semantics refers to user behavior—what users search for on Google. We collect this data and create a list. We find Query Semantics through:
Google Search Patterns: Understanding how users structure their queries and behaviors helps us determine user intent. Queries can be:
Informational Queries
Navigational Queries
Transactional Queries
Local Queries
Comparative Queries
Long-Tail Queries
We can use Auto-Suggestions, People Also Ask (PAA), Search Intent Analysis, and Personalized Results to analyze user search behavior.
To find Query Semantics, we can use tools like:
Google Search Console
Ahrefs
SEOstacks
YouTube Search
Google Search, and many more.
2) Lexical Semantics
Lexical Semantics helps us understand the meaning of words and their relationships, which is essential for Semantic SEO since we rank based on context.
We analyze Lexical Semantics using:
Synonyms (Similar Meaning Words)
Antonyms (Opposite Meaning Words)
Polysemy (One Word, Multiple Meanings)
Homonyms (Same Spelling/Sound, Different Meanings)
Hyponymy (Hierarchy of Meanings)
Meronymy (Part-Whole Relationship)
We can also use resources like:
Wikipedia
Google Scholar
Large Language Models (LLMs)
3) Authority Hacking (Competitor Analysis)
It is crucial to de-rank competitors. First, list your competitors and scrape their websites. Extract their:
Published Pages
Titles & Headings
Table of Contents
Anchor Texts
This will help you find entities and attributes.
You can use tools like:
Ahrefs
Semrush
Sitemap Scraper
Screaming Frog
Manual analysis is time-consuming but highly recommended for at least one competitor to get clear insights.
Please check the first comment for further details.
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