Entity SEO: Building the Signals AI Uses to Trust You

Entity SEO is the practice of making your business a clearly defined, consistently described thing that search engines and AI models can recognise, rather than a string of keywords on a page. You do it with matching details across the web, structured data, and mentions from sources AI already trusts.

Quick links

• What is entity SEO?
• Why does AI lean on entities to decide who to trust?
• How do you strengthen your entity on your own site?
• How do you strengthen your entity off your site?
• How do you check whether AI recognises you?
• Where should you start?
• FAQ

What is entity SEO?

An entity is a distinct, identifiable thing: a company, a person, a product, a place. Entity SEO is the work of making sure search engines know which thing you are, and what you are credible for.

Classic SEO asks whether a page matches a query. Entity SEO asks a different question: does the engine understand who is behind the page? “Aeonix” is a word. Aeonix as a UK marketing agency, founded by Sam Wright, with a particular set of services, is an entity. The difference is whether the engine can attach all of that to one confident identity.

Search engines have been building this for years. Google’s Knowledge Graph Search API documentation describes a store of millions of real-world entities, covering people, places, organisations and media. If you have ever seen a knowledge panel beside a brand name, that is an entity the engine has decided it understands.

The terms overlap, and you will see “entity based SEO” and “entities and knowledge graph” used for much the same work. In practice it comes down to three jobs:

• Define yourself clearly on your own site, in words and in code.
• Stay consistent everywhere your details appear.
• Get corroborated by sources that are not you.

Why does AI lean on entities to decide who to trust?

AI answer engines have to name specific businesses, and they are cautious about naming one they cannot pin down. An entity that is clearly defined and confirmed by several independent sources is a safer thing to recommend.

Think about what an answer engine is being asked to do. A buyer types “who should I use for headless website builds in Lancashire?” The engine cannot return ten links and shrug. It has to commit to a name, or a short list, and put its credibility behind it. Recommending a business it cannot verify is how it ends up sending someone to a firm that closed in 2021.

So ambiguity is expensive for the engine. If your name is spelt three ways, your address differs between your website and your directory listings, and nothing independent confirms what you do, you look like a risk. A competitor with duller but cleaner signals looks like a safe bet.

Two caveats worth being straight about. First, nobody outside the engines knows exactly how each one weighs these signals, and they differ. Second, the mechanics shift as the products change. What has stayed stable is the principle: clear identity plus independent corroboration is what makes a source citable. That is also the logic behind our piece on how AEO differs from classic SEO, and it is why entity work sits underneath most of what we do on AI search.

Mentions matter alongside links

Links were the original corroboration signal. A link says another site vouches for you. Increasingly, a plain mention of your name next to a topic does similar work, because a language model can read it without any link being present. We cover the off-site side in more depth in our guide to digital PR for SEO and AEO.

How do you strengthen your entity on your own site?

Start with the pages you control. Say plainly who you are, mark it up with structured data, and make every page agree with the others.

None of this is glamorous. It is mostly housekeeping, and most sites we look at have gaps in it.

State the basics, once, clearly

Your homepage and About page should say what the business is, where it operates, who runs it and what it does, in plain sentences. Not “we craft digital experiences”. Something an engine could quote back without embarrassment.

Name the people. A bylined author with a real bio, linked to their own profiles, gives you a second entity (the person) vouching for the first (the business).

Add Organization schema, and use sameAs

Structured data is how you tell machines these facts directly. Google’s Organization structured data guidance says the markup can help it understand your organisation’s details and disambiguate it from other organisations in search results. It recommends including properties such as name, url, logo, address and telephone.

The property doing the most entity work is sameAs. It lists the other places your business officially exists: your LinkedIn page, your Google Business Profile, your Companies House record, your social profiles. You are saying “these are all me”, in a form a machine does not have to guess at.

A sensible minimum on the homepage:

1. Organization (or LocalBusiness, if you serve a local area) with name, URL, logo and contact details.
2. A sameAs list pointing to every profile you actually control.
3. Person markup for the founder or key authors, tied back to the organisation.
4. Article markup on posts, with the author and dates filled in.

Keep it honest. Markup that describes things not visible on the page is worse than no markup.

Make it all agree

Pick one version of your business name, one address format and one phone number, and use them everywhere. This is the NAP consistency people talk about for local SEO (name, address, phone), and it matters just as much for AI. If your site says “Aeonix Ltd”, LinkedIn says “Aeonix Marketing” and a directory says “Aeonix Digital”, an engine has to decide whether those are one business or three.

Audit your own footer, contact page, schema and profiles side by side. The mismatches are usually left over from an old address, a rebrand, or a directory somebody set up in 2016.

How do you strengthen your entity off your site?

Your own site can only make claims. Off-site work is where those claims get confirmed, and for AI that confirmation carries the most weight.

Claim and complete the profiles that matter

A Google Business Profile, a LinkedIn company page, Companies House, and the main directories for your industry. Fill them in properly, with the same name, description and details as your site. These are cheap to do and often the first sources an engine checks.

Consider Wikidata, if you can support it

Wikidata describes itself as a free, collaborative, multilingual knowledge base of structured data. Each item has a unique identifier, and it feeds a lot of other systems. It is open to anyone to edit, but it has notability and sourcing rules, and items without independent references tend to get removed.

So treat it as a reward for having earned coverage, not a shortcut to it. If your business has been written about by independent publications, an item may be justified. If it has not, spend the time on the next section instead.

Earn mentions from sources that are not yours

This is the slow part and the part competitors find hardest to copy. Mentions in trade press, industry bodies, partner sites, podcasts, conference pages and credible blogs all say the same thing: this business exists and does what it claims.

What helps in practice:

• Be named consistently, with the same business name and a link to the same URL.
• Get mentioned in the context of your specialism, not just generally.
• Prioritise sources your buyers and the engines already trust over volume.
• Keep genuine reviews coming in, since they are independent text about you, in the customer’s own words.

Do not buy lists of low-quality directory links to pad this out. It adds noise, and it tends to introduce exactly the inconsistencies you are trying to remove.

How do you check whether AI recognises you?

Ask the engines about your business by name and see what comes back. The gaps tell you what to fix.

It takes about fifteen minutes and needs no tooling. Run these in ChatGPT, Perplexity, Gemini and Google:

1. “What is [your business]?” Does it describe you correctly, or confuse you with something else?
2. “Who runs [your business]?” Does it know the founder?
3. “What does [your business] do, and where?” Are the services and location right?
4. A category question without your name, such as “best [your service] in [your town]”. Do you appear at all?

Read the answers for three things. Is the information accurate? Is it vague? Does it cite sources, and are those sources yours or somebody else’s? Wrong details usually trace back to inconsistent information somewhere you can fix. Vague answers usually mean there is not enough independent material about you yet.

For a systematic version of this, our AI search audit checklist includes an entity check alongside crawler access and content structure. We also look at how this feeds the wider picture of being named by language models in our guide to LLM SEO.

Where should you start?

Fix the cheap, certain things first: consistency, structured data and your own profiles. Then settle in for the slower job of earning mentions.

A reasonable order:

1. Decide on the canonical version of your name, address, phone and description.
2. Correct every profile and directory to match.
3. Add or repair Organization and Person schema, with sameAs links.
4. Check what the engines say about you by name.
5. Plan the off-site work: who writes about your sector, and what could you give them worth writing about?

Entity SEO does not have the instant feedback of a title tag tweak, which is why so many businesses skip it. That is the opportunity. Done properly it is also hard to undo or copy, because it rests on a track record rather than a trick. If you would rather someone looked at it for you, that is what the audit below is for.