Entity Analyzer
Map the entity density and semantic relationships in your content that AI models evaluate for authority
Engineer Entity Salience for AI Search Citation
Scan your text for recurring entities — the building blocks AI models extract and rank. See which concepts dominate, which are under-represented, and how evenly they're distributed across your content to improve your eligibility for AEO citation.
How to Use
- Paste your text into the area below.
- Click Run AEO Analysis to see entity frequency.
- View the Visual Map to see where entities appear.
- Copy and implement the auto-generated JSON-LD.
Pro Tips
- High Volume: If a minor word appears more than your subject, adjust your phrasing.
- Entity Mapping: Check the visual map below. Entities should be spread evenly, not clustered.
- Directness: Avoid flowery language; AI favors explicit subject-verb-object structures.
AEO Checklist
- Your primary entity ranks #1 by frequency.
- Top entities appear in both halves of the text, not just the opening.
- Stopwords (the, and, with) are out of the top-10 ranking.
- No single entity exceeds 8% density — that signals keyword stuffing.
Entity Relationship Mapping
Strong link (3+ co-occurrences)
Moderate link (2)
Weak link (1)
Co-occurrence Matrix
How often entities appear together in the same sentence. Higher numbers indicate stronger semantic relationships.
Frequently Asked Questions
What counts as an "entity" in this tool?
Any content-bearing word 4+ characters long that isn't a stopword. The tool ranks by raw frequency and density. Production-grade entity extraction APIs (like Google NLP) detect proper nouns and multi-word phrases more precisely; this tool is a fast approximation for content creators iterating on drafts.
What's a healthy entity density?
Your primary topic should dominate — typically 4–8% density for your top entity, 2–4% for supporting entities. Above 8% starts looking like keyword stuffing; below 3% means the topic isn't salient enough for AI retrieval systems to anchor on.
Why are common words like "the" and "with" stripped out?
Stopwords carry no topical signal — they appear everywhere regardless of subject matter. They'd inflate raw density without telling you anything about content. The tool filters words under 4 characters and a 50-word stopword list before ranking, so you only see topic-bearing terms.
Does entity distribution matter, or just frequency?
Distribution matters a lot. The tool checks whether your top entities appear in both halves of the text or cluster only in the opening. Front-loaded entities signal that the rest of the content drifts off-topic, and AI retrieval models downweight content that doesn't reinforce its stated topic throughout.
Can I use this for competitor analysis?
Yes — paste competitor copy in, see which entities dominate, compare to yours. Their top 3 entities tell you what concepts their content is "about" from a retrieval perspective, regardless of what their marketing claims.
MAY THE FORCE BE WITH YOU