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Identity lens

Modern search does not rank pages. It ranks entities.

Entity signals are the explicit cues — brand name, location, category, founder, products — that let search engines and AI build a confident model of who you are.

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Quick checkHow does your site score on entity signals?

An entity, in search terms, is a 'thing' that the engine has built a model of: a company, a person, a place, a product. The shift from keyword-matching to entity-matching has been the single biggest change in how search engines and AI systems rank content over the last decade.

Entity signals are the cues you give those systems so they can place you confidently in their model. Most small business sites accidentally hide these cues. They mention the brand once, the location never, and the product category in a way that could mean anything. The result is a fuzzy entity profile that loses to competitors with a sharper one.

Why entities outrank keywords now

When Google or an AI engine evaluates a query, it tries to identify the entities involved — the topic, the audience, the location, the intent — and then match those entities to the entities it knows about in its index. A page that is clearly attached to a well-defined entity wins. A page that is loosely floating in a keyword soup loses.

This matters most for local businesses, for niche B2B products, and for personal brands, because those are the segments where the entity is genuinely distinct. Getting the entity right turns a generic-sounding page into the canonical answer for a specific query.

What entity signals we audit

We look at the explicit cues that let an engine build a confident entity profile from your site alone, before any external signal:

  • Brand name presence: stated clearly in the title, the hero, the footer, and consistently across pages.
  • Category: stated in plain words on the homepage (e.g. 'booking software,' not 'growth platform').
  • Location: named explicitly for any local or regional business, on the homepage and on a contact or about page.
  • Founder or team: real names, real photos, and a real about page that explains who runs the business.
  • Products or services: each named, with its own page and its own URL when relevant.
  • External identity links: links to or from the brand's social profiles, official directories, and authoritative mentions.
  • Schema reinforcement: Organization, LocalBusiness, Person, Product schema that names the same entities the content does.
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Entity signal failures we see often

Most entity signal problems are accidents of writing style, not malice. A founder who writes 'we' for an entire homepage is invisible as an entity, even if everyone in the office knows exactly who 'we' is.

  • Brand name mentioned only in the logo, never typed out in the body content.
  • Location named once in the footer and nowhere else, so a local search engine cannot confidently place the business.
  • Generic category language ('we provide solutions') that does not let an engine attach you to a specific topic.
  • About page that talks about values and not people, leaving no real person attached to the brand entity.
  • Inconsistent brand name across pages ('Acme,' 'Acme Inc.,' 'Acme Software'), confusing the matching layer.
  • No structured data, so the engine has to infer everything from prose.

How to make your entity unambiguous

Entity signal work is mostly about repetition and specificity. The same name, the same category, the same location, said clearly across the site:

  • Type the brand name out at least once in every important page's body content. Do not rely on the logo.
  • Decide on one canonical brand spelling and use it everywhere. 'Acme Software' and 'Acme' should pick one.
  • Name the product category in plain words on the homepage hero and at least once in the About page.
  • If you are a local business, name the city or region on the homepage, on the contact page, and in the footer.
  • Add an About page with founder names, real photos, and one paragraph each that ties the person to the brand.
  • Add Organization schema (or LocalBusiness if relevant), with name, URL, sameAs links, and address.
  • Add Person schema for founders or key team members, with name, jobTitle, and worksFor pointing at the Organization.
  • Link out from your site to your official social profiles, and make sure those profiles link back. Entity confidence compounds with consistency.

Why entity signals are the unlock for AI citations

AI engines cite sources at the entity level. When a user asks 'who makes the best booking software for tour operators,' the engine is looking for entities that match 'booking software company' plus 'serves tour operators,' not for pages with the right keywords.

If your site does not give an AI engine the entity cues it needs — a clear name, a clear category, a clear audience — you will never be in the consideration set, regardless of how good your content is. Entity signal work is the prerequisite for AI visibility, not a nice-to-have.

Frequently asked questions

Do I need a Wikipedia page to be an entity?
No. Wikipedia helps Google connect you to its knowledge graph, but most small businesses earn entity recognition without it. A clear about page, consistent naming, schema, and a few authoritative external mentions (industry directories, customer logos, podcast appearances) are usually enough.
Read next: Structured data
How do schema and entity signals relate?
Schema is the machine-readable version of your entity signals. The content of your page tells the human and the language model who you are; the schema confirms it explicitly for the indexer. Both matter, and they need to agree.
Read next: Content clarity
What is sameAs in Organization schema and why does it matter?
sameAs is a property that lists external URLs identifying the same entity — your LinkedIn page, your Crunchbase profile, your X account. It is one of the strongest cues an indexer has for confirming that your brand on your site is the same brand mentioned elsewhere on the web.
Read next: AI readability
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A free audit returns a specific verdict on entity signals, with evidence, severity, and a prioritized fix list across all eight lenses. See also the structured data guide.

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