How it works
- Enter the page URL you want to analyze, and optionally type the main topic the page should be about.
- The tool fetches the page and extracts the strongest repeated named entities — not every proper noun, but the ones that carry real weight.
- It measures entity richness, density per 1000 words, reinforcement and how tightly the content stays focused on its main topic.
- It inspects your structured data for Organization, Person, Place and Product schema plus
sameAslinks that connect entities to the Knowledge Graph. - 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
sameAsthat 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.