Lexical Relations Builder
Map semantic relationships to build topically authoritative content that Google rewards
Semantic Relations Map
How to Use the Lexical Relations Builder
- Enter your primary entity — the main topic or keyword you are building content around.
- Fill in as many semantic categories as you can. Synonyms are words that mean the same thing. Hyponyms are more specific subtypes (SEO → local SEO). Hypernyms are the broader category (SEO → digital marketing).
- List Related Entities — other topics Google associates with your primary entity based on co-occurrence patterns in its training corpus.
- Use the generated map to plan content sections, heading topics, and internal link targets — a page that semantically covers its entire entity cluster ranks better than one that mentions the keyword repeatedly without coverage breadth.
Why Lexical Relations Matter for SEO
Google’s Knowledge Graph organizes information as a graph of entities and their relationships. When Google evaluates your content, it checks not just whether your primary keyword is present, but whether the semantic neighborhood of that entity is adequately covered. A page about “SEO” that never mentions “rankings,” “crawling,” “indexing,” or “search results” has shallow semantic coverage regardless of how many times it repeats “SEO.”
Koray Tugberk’s Topical Authority framework and Bill Slawski’s entity-based SEO research both demonstrate that pages with comprehensive lexical coverage — using synonyms, related entities, and co-occurring vocabulary naturally — achieve higher semantic relevance scores. This directly maps to how the Word2Vec, BERT, and MUM models Google uses represent topic coverage mathematically.