Entity SEO: Become a Brand AI Engines Can Cite

From keywords to entities

Classic SEO matched strings: your page ranked because it contained the words. Modern search - and every AI engine on top of it - resolves entities: it wants to know which real-world organisation is speaking, what it does, and whether other trusted sources agree. When that resolution fails (two businesses with your name, conflicting descriptions, no structured data), engines don’t guess - they cite a competitor they can resolve.

The entity signals that matter

• Organization schema on your site: legal name, logo, description and - critically - sameAs links to your real profiles.
• One canonical description of what you do, reused everywhere: site, LinkedIn, directories, Companies House.
• A Wikidata item - the machine-readable anchor AI engines actually resolve against (far more attainable than Wikipedia).
• Consistent NAP (name, address, phone) across every citation of your business.
• Authorship signals: named people with their own consistent profiles writing your content.

Validate the on-site half in seconds with the schema markup validator.

Knowledge graphs: where entities live

Google’s Knowledge Graph, Wikidata and Wikipedia are the reference databases AI engines trust most. There’s no application form for any of them - they build from corroboration: your schema says X, your LinkedIn says X, a directory says X, and over months the graph accepts X as fact. That slowness is the point. It’s why entity SEO is a moat: a competitor can copy your content in an afternoon, but not your two years of consistent, corroborated identity.

Measure your entity presence

The AI Visibility Checker checks exactly this layer: whether you exist in Wikipedia and Wikidata, whether your Organization schema and sameAs links are in place, and which AI engines can reach you. It’s the fastest honest answer to “are we an entity yet?”. For the strategy this sits inside, see what AI SEO is and AI search optimisation.

Entity SEO: FAQ

What is entity SEO?

Entity SEO is optimising so search and AI engines recognise your brand as a distinct, unambiguous entity - a known thing with consistent facts - rather than just pages matching keywords. In practice it means Organization structured data, sameAs links to your profiles, consistent name/description/location everywhere, and presence in knowledge sources like Wikidata. Entities are how AI engines decide who to trust and cite.

Why do entities matter for AI search?

AI engines answer with facts attributed to things, not pages. If ChatGPT or Perplexity can't resolve exactly who you are - because your name is ambiguous, your details conflict, or you don't exist in their knowledge sources - they cite someone they can resolve instead. Entity clarity is regularly the difference between being quoted and being skipped.

How do I get into the Google Knowledge Graph?

Feed it consistent, corroborated facts: Organization schema with sameAs links on your site, matching details on your major profiles (LinkedIn, Companies House, directories), and ideally a Wikidata item. There's no submission form - the graph builds from sources it trusts agreeing about you. Consistency over months is what does it.

Do I need a Wikipedia page for entity SEO?

No - Wikipedia is powerful but has strict notability rules and most small businesses won't qualify. Wikidata is more accessible: items need verifiable identity, not press coverage. Combined with Organization schema and consistent citations, a Wikidata item gives AI engines a machine-readable anchor for your brand without a Wikipedia article.