No Signup Unlimited Usage Real Data 100% Free Privacy First Fast Results Export Reports Mobile Friendly

Entity Coverage Analyzer

See which entities (people, brands, places, concepts) a page actually covers — the way AI and Google’s Knowledge Graph read it. Extracts salient entities, measures topical breadth and depth, and flags entity gaps that weaken your semantic authority.

Fetching live data…

Quick answer

The Entity Coverage Analyzer shows which entities — people, brands, places, tools and concepts — a page actually covers, the way AI and Google's Knowledge Graph read it. It extracts the salient, repeated named entities from your content, measures how rich and reinforced they are, checks whether they also appear in your structured data, and returns a single score with a top-entities chart. Instead of guessing whether a page reads as authoritative on its topic, you see the exact entities it establishes and the gaps that weaken its semantic authority.

How it works

  1. Enter the page URL you want to analyze, and optionally type the main topic the page should be about.
  2. The tool fetches the page and extracts the strongest repeated named entities — not every proper noun, but the ones that carry real weight.
  3. It measures entity richness, density per 1000 words, reinforcement and how tightly the content stays focused on its main topic.
  4. It inspects your structured data for Organization, Person, Place and Product schema plus sameAs links that connect entities to the Knowledge Graph.
  5. You get a score, a top-entities bar chart and a list of entity gaps to close.

What it checks

  • Entity richness — the count of distinct, salient entities the page establishes.
  • Entity density — how many entity mentions appear per 1000 words, so coverage matches content length.
  • Reinforcement — whether key entities are repeated and supported rather than mentioned once and dropped.
  • Topic focus — main-topic reinforcement balanced against the breadth of supporting vocabulary.
  • Structured-data entities — Organization, Person, Place and Product schema plus sameAs that pin entities to known identifiers.
  • Entity gaps — the missing or under-mentioned entities that leave your semantic authority thin.

Why it matters

Modern search and AI systems don't read pages as bags of keywords — they read them as networks of entities and the relationships between them. A page that clearly establishes the people, brands, tools and concepts around its topic, reinforces them, and confirms them in structured data signals genuine expertise the way the Knowledge Graph understands it. A page that mentions its subject once and never names the surrounding entities looks shallow to a machine, no matter how many keywords it repeats. Strong entity coverage is what turns a page from "about a keyword" into a trusted source on a topic.

How to improve your score

Start with the entity gaps the report flags: name the key people, brands, tools and related concepts a genuine expert would mention, and reinforce your most important entities across headings and body text instead of naming them once. Keep the page focused — deepen the main topic rather than drifting into unrelated ground. Then add or extend Organization, Person, Place or Product schema with sameAs links to authoritative profiles, and re-run the analyzer to confirm richness and structured-data coverage improved.

Frequently asked questions

Why doesn't the tool list every proper noun on the page?

It surfaces the strongest repeated entities — the ones that actually define what the page is about. A name mentioned once in passing carries little semantic weight, so the analyzer focuses on the entities that shape how AI and the Knowledge Graph read your content.

Do I need structured data to score well?

Structured data isn't strictly required, but it strengthens your score. Organization, Person, Place and Product schema with sameAs links connect your entities to known identifiers, which reinforces authority and removes ambiguity for AI systems.

What is the main-topic input for?

It lets the tool measure topic focus — how strongly the page reinforces its intended subject versus drifting across unrelated vocabulary. It is optional, but supplying it sharpens the focus and gap analysis.

Related tools

AI Visibility Checker

Score how likely AI answer engines (ChatGPT, Google AI Overviews, Perplexity, Copilot) are to see, understand and surface your brand. Checks AI crawler access, brand-entity signals, structured data, citable content and llms.txt — out of 100 with a fix list.

Open tool →

AI Citation Checker

Measure how citation-worthy a page is for AI answer engines. Grades the signals LLMs use to quote and attribute sources — direct answers, statistics, outbound citations, author/date, schema and clear structure — with concrete ways to earn more AI citations.

Open tool →

LLM Readability Score

Score how easily large language models can parse, chunk and reuse your content. Measures sentence length, passage size, structure, jargon and ambiguity — the traits that make text easy for LLMs to extract clean answers from. Paste text or enter a URL.

Open tool →

GEO Checker (Generative Engine Optimization)

Check how optimized your site is for generative engines. Focuses on the GEO fundamentals — AI crawler access, llms.txt, brand-entity strength, structured data and quotable content — and estimates readiness for ChatGPT, Google AI Overviews and Perplexity.

Open tool →

AEO Checker (Answer Engine Optimization)

Grade how ready a page is to win AI answers and featured snippets. Analyzes answer-engine structure — question headings, concise self-contained answers, lists, tables, FAQ schema and a clear H1 — the format AI answer engines lift and cite.

Open tool →

AI Snippet Optimizer

Find and grade the passages AI engines are most likely to quote — then get a rewritten, snippet-ready answer. Detects the best 40–60 word answer block, scores its snippet-worthiness and shows how to tighten it for AI Overviews and featured snippets.

Open tool →