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Entity & Knowledge GraphFree · runs in your browser

9-signal coverage scorecard

EntityCoverage Checker

Check how completely your content covers a target entity.

Target entity + content

105 words · 8 total mentions · 3 variations tracked

Coverage score
B

75

Entity appears at all+10

Is the entity actually named in the content?

8 total mentions

Mentioned 3+ times+12

Repetition tells assistants the entity is a topic, not a passing reference.

Density ≥ 3 per 1000 words+10

Enough presence relative to overall length.

76.2 / 1000 words

Introduced in the first 300 characters+10

Front-loading signals topicality.

Defined (X is ..., X means ...)+15

Explicit definition patterns anchor the entity semantically.

Connected by a verb (founded, uses, owns...)+15

Relationships populate the knowledge graph edges around the entity.

Name variation used (acronym or alias)+8

Using the full name and its acronym improves retrieval match.

2 variations

Supported by a numeric fact+10

A stat near the entity makes the passage more citable.

Outbound link on the entity+10

A proper citation / sameAs anchor resolves the entity externally.

How it works

Specify the target entity you want your content to own, paste your content, and the checker runs 9 signals: frequency, density, intro position, definition pattern, relationship verbs, name variations, supporting stats, and outbound links. Each signal is weighted and the overall coverage score is a weighted percentage.

Why coverage wins

When an assistant has to pick which page to cite for a given entity, it prefers pages that look like the entity's definitive home - not pages that happen to mention it. Full background: writing content AI assistants will cite.

Ship it

  • Front-load the entity in the first sentence, with a definition.
  • Pair with the Entity Extractor to see every entity present, and the Fact Density Analyzer to make sure the supporting stats are there.
  • Wrap the entity with structured data using Entity schema.
Want this done for you?

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