Entity
An entity is a distinct, identifiable thing — a person, company, product, or place — that AI systems recognize and reason about as a single, consistent node rather than as loose strings of text.
An entity is a real-world thing the machine knows as one consistent identity. Where old search matched keyword strings, modern engines understand entities — your brand, your founder, your product — as discrete nodes with attributes and relationships, so they can connect everything written about you into a single, coherent understanding.
Becoming a recognized entity is foundational to AEO. If an engine isn't sure that "your brand" in one place is the same "your brand" mentioned elsewhere, it can't accumulate trust in you or confidently recommend you. Recognition comes from consistent identity signals (the same name, description, and details everywhere) and from being corroborated across the web — the authority and credibility pillars. A clear entity is what lets scattered branded mentions add up.
Example. When an engine knows that "Acme Tools," the Acme on LinkedIn, and the Acme cited in a trade publication are all one company, it can answer "is Acme Tools reputable" with confidence. Until it makes that connection, you're just unlinked strings of text.
Relevant pillars
Related terms
- Knowledge GraphA knowledge graph is a structured network of entities and the relationships between them, which search and AI systems use to understand facts about the world and about your brand.
- CorroborationCorroboration is when multiple independent, reputable sources agree on a claim about you, giving AI systems the confidence to treat it as fact and repeat it in answers.
- E-E-A-TE-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — Google's framework for judging content quality, and a useful proxy for the credibility signals AI engines reward.