Fix library

How to fix entity clarity for AI search

The Brimm team · grounded in the docs

Fix entity clarity by making one thing unmistakable: who you are. Add Organization JSON-LD with a stable name, url, logo, and a sameAs array that links to 3 or more authoritative profiles you control, following Google's structured data documentation. Then keep your name, address, and details identical everywhere. The principle is blunt: “an engine that can't tell who you are can't recommend you.”

The symptom: the engine gets you wrong, or never names you

An entity is the thing your site represents. For most owners that is the business or brand, sometimes a named author. AI engines and Google's Knowledge Graph build an internal record of that entity, and they use it to decide who to cite and who to recommend. When that record is fuzzy, you see it in the answers.

The symptom shows up in three ways. The engine confuses you with another business that shares your name. It states your details wrong, your location, your founding, your category. Or it never names you at all and recommends a competitor instead. If you ask ChatGPT, Perplexity, or Google's AI Overviews about your own company and the answer is wrong or empty, your entity is not clear enough to be trusted.

The cause: the engine has no single confident record of you

Entity confusion is almost never one broken tag. It is the absence of a clear, corroborated signal. Three causes do most of the damage:

Inconsistent details across the web. Your name, address, and phone differ between your site, your social profiles, and the directories that list you. Each variation is a small reason for the engine to doubt that all of these refer to the same entity.
No Organization schema. Your homepage never states, in machine-readable form, what entity it represents. The engine is left to guess from prose, and prose is ambiguous.
No links to authoritative profiles. Nothing connects your site to the records the engine already trusts, so it cannot corroborate the one you publish.

The engine wants corroboration. It trusts an entity that says the same thing about itself in several places that all point at each other. A single unlinked claim on your own homepage is the weakest version of that signal.

The fix, step one: declare the entity in JSON-LD

Add an Organization block to your homepage. Use LocalBusiness instead if you serve customers from a physical place, or Person if the entity is a named individual. Give it a stable name, your canonical url, a logo, and a sameAs array pointing to the authoritative profiles you control:

// Organization JSON-LD, homepage <head>
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Exact Business Name",
  "url": "https://yourwebsite.com/",
  "logo": "https://yourwebsite.com/logo.png",
  "sameAs": [
    "https://www.linkedin.com/company/yourcompany",
    "https://www.crunchbase.com/organization/yourcompany",
    "https://www.wikidata.org/wiki/Q000000"
  ]
}

The sameAs array is the part most sites skip, and it is the part that does the work. Each link is you telling the engine, in its own language, "the entity on LinkedIn, on Crunchbase, on Wikidata, and here are all the same one." Only list profiles that are genuinely yours and genuinely about this entity. A wrong or stale link weakens the signal instead of strengthening it.

The fix, step two: make your details identical everywhere

The schema is a claim. Consistency is the corroboration. Pick the exact form of your name, your address, and your phone, then make every place that mentions you match it character for character. This is what local search has long called NAP consistency, and it matters to AI engines for the same reason: matching details across independent sources are what let an engine merge them into one confident entity.

Walk your own footprint. Your homepage, your contact and about pages, your Google Business Profile, your LinkedIn, every directory that lists you. If one says "Inc." and another drops it, if one abbreviates the street and another spells it out, fix them until they agree. Publish a clear About page that states plainly what the entity is, and give every author a real bio so person-entities are as legible as the business.

The fix, step three: earn an authoritative record

Where it is warranted, establish a record in a source the engines already lean on. A Wikidata entry is the most useful for entity clarity because the Knowledge Graph reads it directly, and because it lets you state your relationships to other known entities in structured form. Do not invent notability you do not have. But if your business is real and verifiable, an accurate Wikidata item, with your sameAs pointing to it and it pointing back, closes the loop the engine is looking for.

How to verify the fix worked

Do not assume the schema took. Verify it the way the engines will read it. Three checks:

Validate the markup. Confirm your Organization JSON-LD parses and is complete, then look for it in the rendered source the way a crawler would.
Check the brand SERP. Search your own name. A Knowledge Panel with correct details is the clearest sign the engine has a confident record. Wrong details there mean the record still needs work.
Ask the AI engines directly. Put your own name to the AI answers and read what comes back. If it names you and gets the details right, the entity is clear. If not, you have found exactly what still needs fixing.

Google is explicit in its structured data documentation that valid, accurate markup is what lets it understand a page, and entity clarity is that understanding applied to who you are. This is one of the checks we run, and you can see where you stand without doing it all by hand. The Brimm AEO checker reads your page the way an answer engine does and reports whether your entity is legible. The full audit in the Brimm app prints every entity gap in fix order, and the rest of the fix library covers the failures that travel with this one. If the idea of optimizing for AI answers is new, start with what generative engine optimization is and work back here.