GLOSSARY
Entity
- Entity
- An entity is the real-world thing — a business, person, product or place — that knowledge systems recognize and attach facts to, independent of any keyword. AI engines recommend entities, not pages. If your name, locations and facts differ across the web, engines can't confidently confirm you exist, so they name someone else.
Keywords are strings; entities are things. When an engine considers recommending a business, it's assembling everything it can verify about the entity behind the name — services, locations, credentials, reviews, relationships to other entities — from your site, structured data, directories, registries and the knowledge graph. The stronger and more consistent that fact-set, the cheaper you are to verify and the safer you are to name in an answer.
Entity problems are mundane and expensive. A firm listed as 'Smith & Associates', 'Smith and Associates LLC' and 'Smith Law' across three directories reads as three weak candidates instead of one strong one. An old address on a major directory contradicts the new one on your site, and the engine — which must not recommend a business that might not be there — quietly drops you. None of this is visible in any dashboard; it just shows up as absence.
The fix is unglamorous: one canonical set of facts, enforced everywhere engines look, marked up in schema on your own site so first-party data corroborates third-party listings. Entity consistency work is a standard line in our audit for exactly this reason — it's the highest-leverage boring work in AI visibility, and for local and regulated businesses it's frequently the whole difference between named and absent.