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Free Google Knowledge Graph Entity Checker

Look up matching entities for a brand, person, product or organization and inspect the returned type, description and relevance score.

Also known as: KG, entity checker, brand in Knowledge Graph

Evidence shown with sourceNo account requiredNo invented metrics

Run a real check above

Submit a public URL, domain, or keyword. Novaverb will show only the evidence this tool can actually retrieve or measure.

Evidence model

Know what the result proves

This check reports entity matches returned by the public Knowledge Graph lookup for the submitted text, including available types, descriptions and result scores. An empty response means this lookup returned no match; it does not prove universal non-recognition or predict a knowledge panel.

1. Source

A live Knowledge Graph entity lookup. The result identifies where its evidence came from.

2. Boundary

This reports matches returned by the public Knowledge Graph lookup. The score ranks relevance for this query; it is not a probability, a ranking score, or proof that a knowledge panel will appear.

3. Next action

Use the finding to verify a problem, then connect a workspace when you need history, monitoring, or site-wide analysis.

Entities explained

Why being a Knowledge Graph entity matters for SEO and AI

The Knowledge Graph is Google's database of real-world entities - brands, people, products, places - and the facts and relationships between them. When your brand is a recognized entity, search engines and AI answer engines can attribute content to you with confidence, which powers knowledge panels, rich results and accurate citations in generative answers.

How entity recognition is built

Organization schema - declare your entity with schema.org markup, including a stable @id and logo.
sameAs links - connect your official profiles (Wikipedia, LinkedIn, Crunchbase) so the graph can corroborate you.
Consistent naming - use one exact brand name everywhere so mentions consolidate to a single entity.
Authoritative mentions - citations from trusted sources reinforce that the entity is real and notable.

Not matched yet?

Most newer brands aren't in the Knowledge Graph. It's an outcome of the signals above compounding over time - an empty result is a starting point, not a verdict.

Get the right answer

What to submit - and what to avoid

Submit the entity name as it is published, not a URL, and use the exact form that appears on the site and in its schema.org Organization markup. A common name may match a different, better-known entity, which is a real result and a useful one: it is what an engine resolving that name would also find.

Use it like this

NovaverbA brand or organization NAME - we ask the public Knowledge Graph whether it is a recognized entity.

Your Company LtdThe full legal or common name works; we match it against recognized entities.

Avoid this

https://novaverb.comThis tool takes a name, not a URL - submit the brand or entity name itself.

Public methodology

Exactly how this result is produced

The submitted name is sent to the public Knowledge Graph lookup and the returned matches are displayed without converting the result score into a probability. Name, type and description must be reviewed together because a common query can legitimately return a different entity.

We query the public Knowledge Graph lookup for the submitted entity name.
We report returned names, types, descriptions and result scores without converting the score into a probability.
We present an empty response as no match returned by this lookup, not proof that the entity is unknown everywhere.

Built on public standards

The international standards this check applies

The lookup documentation defines the returned entity fields and result score, while schema.org defines Organization and sameAs markup a site can publish. The checker reports the lookup response; it does not claim that markup alone creates recognition.

schema.orgOrganization

Organization entity markup

Explains Organization and sameAs markup without claiming that markup creates recognition.

Read the specification

GoogleKnowledge Graph

Knowledge Graph Search

Reports the matches and result scores returned by the public lookup for this query.

Read the specification

We list a standard only where this tool genuinely reads or measures against it. Where a signal is outside a live check, the result says so instead of implying coverage.

Common questions

Knowledge Graph Checker FAQ

What does the Knowledge Graph Checker check?

It submits the query to the public Knowledge Graph lookup and returns available matches with their entity types, descriptions and result scores.

What does it mean if my brand has no Knowledge Graph match?

An empty result means no confident entity match was found yet, not that your brand can never be recognized or rank. Recognition often grows as consistent references and authoritative signals accumulate over time.

What is an entity in Google's Knowledge Graph?

An entity is a distinct real-world thing, such as a person, company, product or place, that Google understands as a unique node with attributes and relationships, rather than just a matching string of text.

How do I get my organization recognized as an entity?

Publish consistent name, description and details, add schema.org Organization markup with sameAs links to authoritative profiles, and earn references from reputable sources. Consistency across the web helps Google form a confident entity match over time.

What does the result score tell me?

The result score orders how relevant a returned match is to this lookup. It is not a probability, ranking metric or guarantee that a knowledge panel will appear, so verify the entity name, type and description together.

What is the difference between an entity and a keyword?

A keyword is a text string people search. An entity is a disambiguated real-world thing Google understands with attributes and relationships. Entities power richer understanding, letting Google connect concepts beyond literal keyword matching.

Why do entities matter for SEO and AI answers?

Recognized entities help search engines and AI answer engines understand who you are, disambiguate your brand, and surface it in knowledge panels and generative answers, strengthening trust, relevance and visibility beyond keyword matching alone.

How does schema.org Organization markup help entity recognition?

Organization markup declares your name, logo, description and sameAs links to authoritative profiles in a machine-readable form. This structured evidence helps Google connect and confirm your entity, supporting a more confident Knowledge Graph match.

Does a Knowledge Graph match guarantee a knowledge panel?

No. A match confirms Google recognizes the entity, but whether a knowledge panel appears depends on query context, confidence and Google's own display decisions. Recognition is necessary but not sufficient for a panel.

Why is sameAs important for my entity?

sameAs links connect your site's Organization markup to authoritative external profiles that describe the same entity. These corroborating references help Google verify identity and consolidate signals, improving the chance of a confident Knowledge Graph match.

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