Entity SEO + Topical Mapping
Semantic Distance Calculator
Compare two topics or entities to estimate their semantic closeness. Useful for deciding whether two pages should be clustered, interlinked, or kept separate.
How It Works
Using the Semantic Distance Calculator
The Semantic Distance Calculator runs directly against a live URL or your own pasted content — no signup, no install. Results come back in seconds as a prioritized, plain-English list rather than a raw score, so you know exactly what to fix first and why it matters. It's a focused, single-purpose check, built to answer this one question quickly rather than replace a full entity seo audit.
- 1Paste in your URL, text, or data — no signup required.
- 2The tool runs its analysis and returns results in seconds.
- 3Review the flagged issues, ranked by severity, with a plain-English explanation of each.
- 4Fix the highest-priority items first, then re-run to confirm.
Modern search and AI answer engines rank entities, not just keywords — they need to resolve who or what a page is about, and how it connects to other known entities. Getting entity signals right is now a bigger lever than classic keyword density ever was.
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Keep going
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Entity Schema Builder
Build entity-focused JSON-LD with sameAs, knowsAbout, and mentions properties. Optimized for Google Knowledge Graph and LLM entity recognition.
Topical Map Builder
Build pillar-cluster content architecture maps. Define topic clusters, subtopics, and content gaps. Export as structured text or Markdown.