# Before a system can describe you, it has to know which one you are.
> How to make a person or an organization unambiguous for search engines and AI systems: names, identifiers, structured data, sameAs and reference sources.
- Page: https://mohammedteto.com/entity-optimization/
- Language: en — French version: https://mohammedteto.com/fr/optimisation-entite/
- Author: Mohammed Teto (https://mohammedteto.com/#person)
- Published: 2026-10-07
- Updated: 2026-10-04
An entity is a person, an organization or a product, with its relationships. Entity optimization, also called entity SEO, makes one of them unambiguous for search engines and AI systems.
Entity optimization, also called entity SEO, is the work of making a person, an organization or a product unambiguous to search engines and AI systems: one identity, described consistently, with stated relationships and with references that confirm it. Its measure is whether a system attributes the right facts to the right entity. It comes before any work on visibility, because facts attributed to the wrong entity help no one.
## What an entity is
An entity is a thing a system can identify and distinguish from every other: this person and not her namesake, this company and not the one with a similar name in another country. A keyword is a string of characters; an entity is what the string refers to.
In practice, an entity is described by three things.
- **Names** The official name, the names in common use, former names and spellings in other languages.
- **Attributes** For a person: roles, organizations, dates. For an organization: legal form, founding date, location, leadership.
- **Relationships** Who works for what, who founded what, which brand belongs to which group, which page is the official one.
When these agree from one source to the next, the entity is resolved. When they diverge, the description becomes vague, outdated or attached to someone else.
## How ambiguity appears
| Situation | What can go wrong |
|---|---|
| A common name shared with other people | Two biographies merged, or the better-documented namesake chosen |
| Several spellings or transliterations of one name | Variants treated as different people |
| A company renamed, merged or acquired | The former entity described as the current one |
| A group, a subsidiary and a product brand with similar names | Facts of one attributed to another |
| A role that changed | The former title kept, from sources never updated |
| Profiles that contradict the official biography | No stable version to repeat |
Each of these can be addressed in the sources; the system itself cannot be edited. The correction is made where the divergent information lives.
## The tools that state an identity
**Structured data.** [Schema.org](https://schema.org/) provides the vocabulary: `Person`, `Organization` and the properties that link them. Google's documentation says that organization structured data on the home page "can help Google better understand your organization's administrative details and disambiguate your organization in search results". It adds that there are no required properties, and recommends adding as many as are relevant ([Google Search Central, organization structured data](https://developers.google.com/search/docs/appearance/structured-data/organization)).
**Names, declared.** The same documentation distinguishes `name`, `legalName`, "the registered, legal name of your Organization, if applicable and different from the name property", and `alternateName`, "another common name that your organization goes by".
**Identifiers.** Google's recommended properties include `leiCode`, `duns`, `taxID`, `vatID` and `iso6523Code`. An identifier issued by a registry is harder to confuse than a name.
**sameAs.** Schema.org defines it as the "URL of a reference Web page that unambiguously indicates the item's identity", for example the item's Wikipedia page, Wikidata entry or official website ([schema.org, sameAs](https://schema.org/sameAs)). It is how a page says: the entity described here is the same as the one described there.
**One canonical page.** Google recommends placing organization information on the home page, or on a single page that describes the organization. The same logic holds for a person: one page is the reference version, and the others align with it.
**Reference sources.** A knowledge panel is generated automatically by Google; the entity or an official representative can claim it and suggest changes ([Google, knowledge panel help](https://support.google.com/knowledgepanel/answer/9163198)). English Wikipedia strongly discourages editing by people with a conflict of interest and asks for disclosed proposals on the talk page ([Wikipedia, conflict of interest](https://en.wikipedia.org/wiki/Wikipedia:Conflict_of_interest)). Neither can be rewritten at will: a change to a panel is a suggestion, and a change to a Wikipedia article is a disclosed proposal.
## What structured data does not do
It does not create facts. Google's best practices for AI features include making sure structured data matches the visible text of the page. Markup that declares an award, a role or a relationship the page does not show, and no other source confirms, is a claim without support.
It does not buy a place in AI answers. Google states that no special schema.org structured data is needed to appear in AI Overviews or AI Mode ([Google Search Central, AI features](https://developers.google.com/search/docs/appearance/ai-features)).
It does not replace consistency. A perfect `Person` node on one site does not outweigh five profiles that state a different title. And how AI assistants other than Google's use structured data is not documented by their providers in the sources cited here; the safe assumption is that they read the visible text and the sources around it.
## The work, in order
1. **Inventory.** Every place the entity is described: sites, profiles, registries, directories, press, reference sources.
2. **Decide the reference version.** One name, the accepted variants, one current role, one description, dates.
3. **Write the entity file.** Names, attributes, relationships and identifiers, in a document the organization can maintain.
4. **Publish the canonical page and its structured data.** With `sameAs` links to the official profiles and reference pages that exist.
5. **Align what you control.** Profiles, company pages, biographies sent to event organizers and media.
6. **Request corrections at the source.** Where a third party holds an outdated or wrong fact.
7. **Check how systems resolve the entity.** Search engines and AI assistants, one at a time, and again later.
In [The Authority Architecture System](https://mohammedteto.com/method/) this is the third layer, [Entity Foundation](https://mohammedteto.com/method/#entity-foundation). It comes after the narrative is fixed and before evidence is published, because evidence attached to an unclear entity may not be credited to it.
## Where to go next
Entity optimization is one of the disciplines described in [AI visibility](https://mohammedteto.com/ai-visibility/). Once the entity is clear, [answer engine optimization](https://mohammedteto.com/answer-engine-optimization/) deals with how its pages are extracted, [generative engine optimization](https://mohammedteto.com/generative-engine-optimization/) with whether it is used and cited, and [AI search intelligence](https://mohammedteto.com/ai-search-intelligence/) with how the result is measured. Where it sits beneath the three acronyms is shown in [SEO, AEO and GEO compared](https://mohammedteto.com/compare/seo-vs-aeo-vs-geo/). Related analyses are collected in [Insights](https://mohammedteto.com/insights/).
## Frequently asked questions
### What is entity optimization?
It is the work of making a person, an organization or a product unambiguous to search engines and AI systems: one identity, described consistently, with stated relationships and references that confirm it.
### Is entity SEO the same thing?
Yes. "Entity SEO" is the name used in the search profession for the same work. This page uses "entity optimization" because the work now concerns AI assistants as much as search engines.
### What is the sameAs property for?
Schema.org defines sameAs as the URL of a reference web page that unambiguously indicates the item's identity, such as its Wikipedia page, its Wikidata entry or its official website. It links the entity described on a page to the same entity described elsewhere.
### Does Organization or Person markup guarantee a knowledge panel?
No. Google generates knowledge panels automatically. Its documentation says organization structured data can help it understand and disambiguate an organization, and that some properties can influence visual elements; it does not promise a panel.
### Why does an AI assistant confuse me with someone else?
Often because the sources it draws on do not distinguish the two entities clearly: same name, similar field, few identifying details. Consistent names, dates, roles and identifiers across your own sources and reference sources can reduce the confusion.
### Do I need a Wikipedia or Wikidata entry?
Not as a condition. They are reference pages of the kind schema.org gives as examples for sameAs, and each has its own rules on inclusion and conflict of interest. An entity can be made unambiguous through its own canonical page, registries, profiles and independent coverage.
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