AI Entity Checker — Is Your Brand a Known Entity?

An AI entity checker looks up your brand in the public knowledge graph — Wikidata and Wikipedia — and reports whether AI engines have a structured record to resolve your name to. It checks whether a Wikidata item exists, whether a Wikipedia article backs it, whether the official website is linked, and whether a more famous same-name entity outranks you. It scores the footprint 0-100 and gives the fix for each gap.

An entity is a distinct, real-world thing — a company, a person, a product — that an engine can identify unambiguously, separate from the words used to name it. When someone asks “what is X” or “best X for Y”, the engine first resolves X to an entity, then answers about that entity. If your brand is not a resolvable entity, the model has only a string, and strings are ambiguous.

Wikidata is a structured, machine-readable database of entities that feeds knowledge graphs across the web, and it is one of the most checkable inputs into how engines resolve a name to a thing. A Wikidata item gives your brand a stable identifier, a type, an official website link and a description — the scaffolding an engine uses to tell you apart from everything else called the same thing.

No. A Wikidata item makes your brand resolvable and harder to confuse with others, which is a prerequisite for being described accurately. Whether an engine actually cites you also depends on content, authority, relevance and each engine’s own retrieval. The item removes an ambiguity blocker; it is a signal, not a guarantee.

Across large studies of AI citations, Wikipedia is consistently among the most-cited domains. It is a dense, structured, heavily-referenced source that engines lean on to describe entities. An entity with a Wikidata item but no Wikipedia article is missing the single richest source those engines pull from.

You can create one at wikidata.org, but only after the brand has independent, verifiable coverage. Wikidata expects items to be notable and sourced; an item created with no references, or purely for promotion, is likely to be deleted. Build the citations first, add the item with sources, and fill in the official website, type and description properties.

You do not write it for yourself — a Wikipedia article follows notability. It requires significant, independent, reliable secondary coverage: press, industry publications, references that are not your own. Earn that coverage, and an article becomes possible and defensible. Creating one prematurely, or with a conflict of interest, usually ends in deletion.

A generic or shared name (a common word, a colour, the name of a bigger company) means you compete for the entity with everything else called that. Use the fuller, more distinctive form of your brand name in your own content, markup and profiles, strengthen your entity’s references and completeness so it rises among same-name items, and make sure your official website is linked so a domain-aware engine can pick you out.

The schema validator checks the structured data on your own pages — your Organization and Person markup. This entity checker looks outward, at the public knowledge graph: whether the wider web, through Wikidata and Wikipedia, recognises your brand as a distinct entity. On-page schema and off-page entity presence reinforce each other; this tool covers the off-page half.

No. Google’s Knowledge Graph is a private index. This tool checks the public, verifiable sources that feed knowledge graphs — Wikidata and Wikipedia — which is what you can actually influence and measure. A strong public footprint is the lever you have; the private graph is downstream of it.

P856 is the Wikidata property for “official website”. It links an entity to the URL the organisation itself operates. It is one of the most useful statements on a brand’s item, because it ties the abstract entity to a concrete domain, letting an engine connect “the company” to “this site”.

P31 declares what kind of thing an entity is — a business, a software company, a mobile app, a product line. Without it, the item is an unclassified node; with it, an engine knows the category and can answer category questions like “best X apps” correctly. It is one of the first properties to add.

Where you serve more than one market, yes. A Wikipedia article and description in your local language give engines a strong source when they answer in that language. An English-only footprint weakens same-language answers elsewhere. Localised coverage follows the same notability rules, per language edition.

Incorrect statements on your item lead engines to describe you wrongly, and a same-name collision can cause them to attribute a rival’s facts to you. The fix is completeness and correctness: an accurate, well-sourced item is easier for an engine to trust, and a clear official-website link helps it pick the right entity.

Recheck after any brand change (rename, rebrand, new domain), after you earn notable coverage, and periodically to catch same-name collisions that appear as new entities are created. A quarterly check plus an event-based one on major PR catches most drift before it costs you accuracy in AI answers.