A distinct, identifiable thing — a person, organization, product, place, or concept. Search and AI systems index the world as a graph of entities and their relationships.
Entity-based search replaced keyword-based search around 2013 with Google's Hummingbird update. AI answer engines are pure entity-based systems: when you ask “best CRM for B2B,” the engine maps that to entities (Salesforce, HubSpot, etc.) and ranks them.
To register your brand as an entity in the AI corpus: ship Organization schema, claim a Wikidata item, build consistent citations across the web, and earn mentions in authoritative publications.
Real-world example
A new HR software company has a functional website but no Wikidata entry, no Wikipedia mention, and no Organization schema. When asked 'best HRIS for 100-person companies', every AI engine ignores them — not because their product is inferior, but because they do not exist as a recognized entity in the AI knowledge base.
Frequently asked questions
How do I establish my brand as a recognized entity?+
Four steps: (1) Add Organization schema with all properties filled — name, URL, logo, foundingDate, description, sameAs links. (2) Create or improve your Wikidata entry. (3) Earn mentions in at least 5-10 credible third-party publications. (4) Build consistent NAP signals across Google Business Profile, LinkedIn, Crunchbase, and industry directories.
Why do AI engines sometimes get facts about my company wrong?+
Because your brand entity is weakly defined in their knowledge base. When AI systems have sparse or conflicting signals about an entity, they hallucinate or blend attributes from similar companies. Strengthening your entity footprint — schema, Wikidata, consistent NAP — gives AI systems authoritative facts to draw from instead of guessing.
Related terms
Knowledge Graph — A structured database of entities (people, places, organizations, concepts) and the relationships between them. Google's Knowledge Graph powers the right-hand panel in search results.
Wikidata — The open knowledge base behind Wikipedia. AI training data weights Wikidata heavily, making a Wikidata entry one of the highest-leverage AEO investments.
Schema Markup — Standardized JSON-LD or microdata embedded in HTML that tells search engines and AI systems the meaning of page content (e.g., this is a product, this is a FAQ, this is a person).