What is an entity in search and AI?
In search and AI, an entity is one distinct, identifiable thing, such as a company, product, person or place, that a system can recognize and keep apart from things with similar names. Search engines and AI systems do not just match words; they try to work out which thing a word refers to. Your brand is an entity when systems can tell it apart from everything else with a similar name, and connect the facts that belong to it.
What makes something an entity?
A distinct identity with facts attached. Google's Knowledge Graph is described as holding millions of entries that describe real-world entities like people, places and things (Google Knowledge Graph Search API, updated April 26, 2024). Wikidata gives each entity a stable ID, a Q followed by a number, such as Q42 for Douglas Adams (Wikidata, read Oct 15, 2026).
The ID is the point: two companies called Acme are two entities with two IDs, and facts attach to the right one.
Why do entities matter for AI answers?
Because an answer about you is only as good as the system's grasp of which thing you are. If engines cannot connect your name to a clear identity, they fill the gap with the best-known thing that shares it, or blend facts from several.
Structured data gives one standard signal. schema.org defines sameAs as the URL of a reference web page that unambiguously indicates the item's identity (schema.org), which is how an Organization markup block points at your official profiles.
What does an entity look like in a real example?
"Tesla" is at least three entities: the company, the SI unit of magnetic flux density, and the inventor Nikola Tesla. In the public Tesla example (Oct 4, 2026), Google AI Overviews answered "What is Tesla?" by opening with the unit: "the standard international unit used to measure the strength of a magnetic field".
Perplexity answered "Is Tesla worth it?" by splitting it between the stock and the cars. A famous company recovers within the answer. A newer brand whose name is shared with a bigger one may not.
How do you make your brand a clear entity?
Say the same thing about yourself everywhere it is said:
- One plain sentence on your site saying what you are, and what you are not if your name is shared.
- The same name, category and description on your site, profiles and directories.
- Organization markup with your name, logo, URL and sameAs links to your official profiles.
- Consistent listings on the profiles engines use to confirm a company: review sites, company databases, LinkedIn.
How does Proofsource check your entity?
Proofsource audits the profiles AI uses to decide who you are, such as G2, Capterra, Crunchbase, Wikidata, LinkedIn and Product Hunt, flags the ones missing or disagreeing with your site, and checks whether answers to brand questions describe you or a company with a similar name. See Accuracy and identity.
Common questions about Entity
What is entity SEO?
Making sure search and AI systems recognize your brand as one distinct thing with consistent facts, through clear pages, structured data and consistent profiles, rather than optimizing for keywords alone.
Does my company need to be on Wikipedia to be an entity?
No. Wikipedia helps when a company meets its notability rules, but consistent facts across your site, structured data and reputable profiles also establish an identity.
How do I know if AI confuses my brand with something else?
Ask "What is [your brand]?" on each engine, several times. If an answer opens with something else, or mixes in another company's facts, you have entity confusion.
Is an entity the same as a brand?
A brand is one kind of entity. Products, people, places and concepts are entities too, and a brand is often connected to several of them.
Related terms
- Entity confusion
Entity confusion is when an AI answer about your brand describes, or opens with, a different company or thing that shares or resembles your name.
- Knowledge graph
A knowledge graph is a database of entities and the facts that connect them, and Google's Knowledge Graph is the best-known one, with millions of entries about people, places and things.
- Schema markup (structured data)
Schema markup, or structured data, is code on a page, usually JSON-LD using the schema.org vocabulary, that states facts about the page and its subject in a form machines can read.
- Wikidata
Wikidata is a free, collaborative, multilingual knowledge base that supports Wikipedia and stores facts about entities as structured statements anyone can read and reuse.
Worked example: Tesla, public AI answers, Oct 4, 2026: Proofsource's first scan of Tesla, 25 buyer questions and 5 brand questions, one answer per question on each of four engines. A small sample from one brand, shown as an example, not a benchmark.
See where AI leaves you out, and what to fix.
See which buyer questions name your brand, who gets named instead, and what to fix. 200 answers. 25 Prompts/Question. Top AI engines. 2 days. Free. No card.
Google AI OverviewsGoogle AI Mode
