Does AI know who you are?
Enter your URL. We read the live page the way a model does and audit it across six checks, scoring whether the machine layer can pin down who you are, tell you apart from similar names, and represent you with your own facts, not whatever it can find.
- Identity
- Disambiguation
- Authority
- Representation rights
thecraneconsultancy.com/brand-representation-readiness
Scoring engine v1.0 · updated 29 June 2026 · deterministic read of entity identity, disambiguation and representation signals
Reading the live page…
You scored in badge territory. Embed this verified mark on your site; the link points back to your live result.
The mind behind the diagnostic.
A public sample of a private standard.
This scanner reads a site the way a model does: can it pin down who you are, tell you apart from similar names, and represent you with your own published facts. I built it because most businesses have no honest read on whether the machine layer can identify them at all, or is filling the gaps from whatever it finds. What it surfaces in seconds, a forensic audit takes apart in full.
Led paid media for the LUSH Cosmetics global digital transformation across sixteen markets, former Head of Paid Media and Paid Media Enablement lead at senior agencies, most recently Digital Data & Analytics lead through the Everywhen brand launch across Towergate Insurance and forty other brands. A power user of HTML, CSS, JavaScript and structured data, working the machine-readability layer directly rather than briefing it out.
The brands that win 2027 are the ones the machine can name, place and quote correctly. My work makes you legible on your own terms.
A scanner finds the obvious. The audit finds the rest.
This reads what is visible in your HTML and well-known files. A forensic representation audit goes deeper: the entity and authorship schema a model needs, the authoritative sameAs links that resolve you to one verifiable identity, and the citable facts that keep your story in your own words.
Speak with NicSee how AI search optimisation works, or run the Agentic Execution Readiness scanner.
What brand representation readiness means.
When someone asks a model who you are, it answers from whatever it can resolve. If the machine layer cannot pin down your identity, tell you apart from similarly named businesses, and find your own published facts, it fills the gaps from elsewhere, and you lose control of your own story. Most sites have never measured whether it can.
This scanner reads your live page the way a model does and scores it across six checks in four dimensions. It reads the structured data, the page markup and your well-known files, not what renders after JavaScript, because that is what most AI systems read too. It is a readiness proxy, not a guarantee: it measures the identity signals you publish and control, not what any particular model says about you.
Six checks, four dimensions.
Identity
Can a model build a faithful picture of you? A defined Organisation, Brand or Person entity with description and depth, and one consistent name across schema, title and og:site_name backed by a legal identifier.
Disambiguation
Can it tell you apart from similar names? Authoritative sameAs links to your verifiable homes (Wikidata, LinkedIn, Companies House, Crunchbase, verified socials) that resolve you to one entity.
Authority
Whose account of you does a model trust? Named, credentialed authorship and concrete, citable claims a model can lift and attribute to you.
Representation Rights
Do you govern how your content is used? Declared license, copyrightHolder and, if you wish, a TDM reservation, reported as posture, never penalised for a coherent choice.
If the machine cannot name you, it describes you from whatever it finds.
AI increasingly stands between you and the people forming a view of you, summarising who you are before they ever reach your site. When the machine layer can resolve your identity and read your own facts, that summary is yours. When it cannot, the gaps get filled from stale directories, competitors and guesswork. The work that makes you legible on your own terms is becoming the work that protects the narrative.
Brand representation questions.
What does representation mean here?
Whether the machine layer has what it needs to identify you, tell you apart from similar entities, and describe you using your own published facts. It is the difference between a model answering "who is this" from your markup versus from whatever it can scrape elsewhere.
Does this tell me what ChatGPT says about me?
No. That is a separate, probabilistic question. This scan is deterministic: it reads the identity, authority and rights signals you publish, which are the inputs a model draws on. It measures the conditions for accurate representation, not any single model's output.
Why do sameAs links matter so much?
They are how you resolve yourself to one verifiable entity. Links to authoritative homes (Wikidata, LinkedIn, Companies House, verified socials) let a model tell you apart from businesses with similar names. We score that you declare them; live verification against those registries is a separate, explicit step.
Why does client-side rendering matter?
Models and crawlers generally do not run your JavaScript. If your entity schema, authorship or key facts only appear after the browser renders them, the machine layer sees an empty shell. Server-rendered or pre-rendered markup is what it actually reads.
Is this the same as the AI Search scanner?
No. AI Search measures retrieval (can AI find and cite you) and Agentic Execution measures whether an agent can act on you. This measures representation: given it can read you, can it identify and describe you correctly. They are the three readiness layers: retrieval, execution, representation.
Will blocking AI training hurt my score?
No. The rights check is neutral by default. Declaring a license, copyrightHolder or a TDM reservation is governance, and opting out of training is a legitimate, coherent choice. The scanner reports your posture; it does not penalise it.