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What is an entity? And why it decides whether AI names you
Home/Blog/What is an entity? And why it decides whether AI names you

What is an entity? And why it decides whether AI names you

An entity is the thing a word refers to, not the word itself. Whether AI names you depends on how strongly and unambiguously you stand on the web as an entity.

June 13, 20266 min read

Table of Contents

  1. Short answer
  2. What an entity exactly is
  3. Why entities are the core of how AI answers
  4. How AI decides whether you are a strong entity
  5. The namesake problem: where entities break
  6. How you become a stronger entity

Short answer

An entity is a thing that exists unambiguously and can be told apart from all other things: a person, an organization, a place, a product or a concept. Not a word, but the thing the word refers to. "Thomas Rau" is a string of text; the architect Thomas Rau, with his books, projects and the Madaster platform, is an entity.

For search engines and AI assistants, that distinction is everything. They do not answer questions by matching words, but by recognizing entities, placing them and linking them together. Whether AI names you when someone asks for an expert therefore does not depend on how good you are, but on how strongly and how unambiguously you stand on the web as an entity. That is not an opinion: it is what our AI Visibility Benchmark across three professions and five AIs showed.

What an entity exactly is

In information science, an entity is something with its own, bounded existence. Google calls it, in its own documentation, "a thing or concept that is singular, unique, well-defined and distinguishable". Examples:

  • a person (you, a colleague, a historical figure);
  • an organization (a firm, a brand, an association);
  • a place (a city, a building, a region);
  • a product or work (a book, an app, a method);
  • a concept (a field, a specialization).

The difference from a keyword is fundamental. "Trauma therapist Breda" is a search query. The person behind that query, with her practice, her registration and her website, is an entity. A search engine of the past matched the words. An AI assistant of today tries to find the entity that best fits the intent, and tells you about it.

Why entities are the core of how AI answers

Modern AI assistants and search engines build their answers on a network of entities and the relationships between them, often called a knowledge graph. When you ask "who is a good architect for circular construction?", roughly the following happens:

  1. Recognize. The model reads the question as a request for entities of the type "architect", with the property "circular construction".
  2. Retrieve. It searches, through training or live web search, for entities that fit that description and have evidence for it.
  3. Place and distinguish. It determines which entity is meant exactly, and separates namesakes from one another (disambiguation).
  4. Tell. It assembles an answer from what it knows about those entities, with the sources it trusts.

In each of those steps the strong entity wins. Whoever is unambiguously recognizable, can be linked to evidence and cannot be confused with another, comes out on top. Whoever is weak or ambiguous as an entity falls away, however good the professional is.

How AI decides whether you are a strong entity

An entity grows stronger as more consistent, interconnected evidence exists for it. The signals that weigh heaviest:

  • An own domain. The place that is unmistakably yours is the raw material. In the benchmark, the own domain was the largest source AI drew on in all three professions (32 to 41 percent of cited links). Without an own domain there is little to build an entity on.
  • A consistent name and description. The same name, the same field, the same place, presented the same way everywhere. Inconsistency fragments the entity.
  • Connections between your profiles. When your website, your registrations, your LinkedIn and your trade listings refer to each other, AI knots them into one entity. Loose, unconnected profiles stay loose fragments.
  • Structured data. Schema markup (for example `Person` or `Organization` with explicit properties) literally tells machines who you are and what you stand for.
  • Listings on authoritative, neutral sources. Professional registers, trade associations and trade media confirm your existence independently. In regulated markets such as healthcare, that carries extra weight.
  • A distinctive name. The signal that proved sharpest in the benchmark. Whoever shares a name with a better known namesake loses, however real their work is.

The namesake problem: where entities break

The clearest illustration from our study is what happens when the entity is not unambiguous. In each of the three measured professions, exactly one expert fell away structurally at the direct question "who is X?", and always for the same reason: a name shared with a better known namesake.

  • An architect became his namesake, a university lecturer.
  • A psychologist became an M&A partner at an advisory firm.
  • A photographer became a British publishing director.

Three different markets, the same mechanism. Not the better professional won, but the entity the web could place unambiguously. This is disambiguation going wrong: AI is not sure which "Astrid Mitchell" you mean, and picks the strongest. A distinctive, consistently used identity is exactly what prevents this.

How you become a stronger entity

The steps, in order from foundation to refinement:

  1. Claim an own domain and publish there who you are, what you do and for whom. This is the raw material; everything hangs on it.
  2. Make your name unambiguous. Use the same name variant everywhere, tied to your field and your place, so you do not coincide with a namesake.
  3. Connect your profiles. Have your website, registrations and relevant profiles refer to each other consistently, so they merge into one entity.
  4. Add structured data. Describe yourself for machines with schema markup, explicitly and consistently.
  5. Secure independent confirmation. Be listed in the registers and trade sources that hold authority in your market.

The foundation, an own domain and a distinctive name, you can lay yourself. Turning it into a recognizable entity that AI finds everywhere and places unambiguously is the work Identity First Media does. Not equally urgent for everyone: whoever already has a strong, unambiguous presence already has the foundation in place.

Read more

This article accompanies the AI Visibility Benchmark by Identity First Media, in which we measured, across three professions and five AI assistants, who AI does and does not name.

Identity First Media. Writing: Paul Veth.

Frequently Asked Questions

Is an entity the same as a keyword?

No. A keyword is a string of text people type. An entity is the thing that text refers to. AI no longer matches words, it recognizes entities.

Do I need a Wikipedia page to be an entity?

No. Anyone with an own, unambiguous presence on the web is an entity. A Wikipedia page only makes an entity stronger and better anchored; it is not a precondition.

Why does AI name my competitor and not me, when I am better?

Because AI does not measure craftsmanship. It measures how strongly and unambiguously you stand on the web as an entity. A stronger entity beats a better professional who is hard to find.

What is the most important first step?

An own domain on which you tell, consistently and unambiguously, who you are. It is the source AI drew on most in every measured profession.

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