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.
A three-part scan · run all three for your full Crane Index™
- 1AI Search
- 2Agent
- 3Brand
- Identity
- Disambiguation
- Authority
- Representation rights
This reads one page, not your whole site: point it at the exact URL you want assessed (your homepage by default). Different pages score differently, so scan the ones that matter.
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 your verified mark; it links back to your live result.
One scan. All three reads.
You ran one. Here is the complete picture, the way an AI system sees you: whether it can find you, act on you, and confirm who you are. Together they are your Crane Index™.
Can AI find and cite you?
Can an agent act on your site?
Does AI describe you correctly?
The mean of the three reads, on the same scanners as our published research.
One page, or the whole site?
This read scored one page. A machine judges you page by page, so a strong homepage can hide thin inner pages, and the reverse. Read your key pages together for a site-level picture, on the same free scan.
The mean across the pages we could read.
The precise fix for each finding is locked
Each fix is a short sprint. Holding the result is the work.
The findings above are yours to read, and most are a quick markup sprint. Putting them live is your team's to do. What we sell is the precise prescription for each finding across all three reads, AI search, agent readiness and machine identity, then the harder part: proving on a re-read that each fix actually landed, and holding the result as the ground keeps shifting.
Why this only grows in weight
More of every buying journey now starts inside an AI assistant, and increasingly an agent does the searching, the shortlisting, even the booking. If a machine cannot read you, confirm who you are, or act on your site, you are absent at the moment the decision is made. That gap widens as more of the journey moves to AI, so being unreadable quietly costs revenue that never shows up as a lost click, and the sites that are legible now compound their lead.
£1,600 / year ex VAT
- The full prescription, and we confirm on a re-read that each fix you put live actually landed
- Your whole field watched every day: your site, the pages that matter across it, and the competitors you choose, so a drift or a new gap is caught the morning it appears
- Held, not just fixed: daily reconnaissance, a dated archive and a private dashboard, so the result stays won as AI keeps moving
£1,250 once, ex VAT
- The exact fix for every finding across all three reads, in one paste-ready brief for your developer or an LLM
- Yours to implement on your own schedule
- Plus 30 days of Crane Index™ Monitor, so a re-read confirms each fix has landed
For businesses where AI and agentic readiness genuinely moves revenue. A monthly partnership that steers your strategy as the landscape shifts, keeps you ahead of each change in how machines find, verify and act on you, and treats the Index as one input among many. By application.
The top-line findings above are free. The precise fixes are part of a paid prescription. Any email you leave is used only to answer your request and is handled per our Privacy Policy.
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 Agent 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 Agent Readiness 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.
Three reads. One picture.
It comes down to one question: can AI work with you? AI visibility is won on three fronts: whether AI can retrieve you, whether an agent can act on you, and whether AI describes you correctly. This is one of the three. Run all three for the full picture, and the marks that come with them.
AI Search Readiness
Can AI find and cite you?
Run the read → IIAgent Readiness
Can an agent act on your site?
Run the read →Brand Representation
Does AI describe you correctly?
You are hereTake the whole picture to your board.
One document, all three reads, set on our letterhead. We measure the site live server-side, so every figure is real, then email you the board report. Each one stays re-measurable in about a minute.
A strong Crane Index™ earns a mark you can embed. Each one is drawn live from your real scores, so it cannot be faked, and it links back to your result. It sits on any site, dark or light — preview both below. See how the marks work →
The shift, on the record
The move to AI answers is documented, not a hunch. In 2026, Google reported that its AI Mode in Search had passed a billion monthly users. What those users can be shown of you comes down to the machine-readable layer of your site, the structured data Google Search Central documents. The question is no longer whether a buyer asks an AI about your market, but whether it can read you, and represent you accurately, when they do.
The senior read,
once a week.
Most marketing newsletters are noise on a schedule. This is not that. Once a week I send a short, considered read on the shifts that actually change what you should do, across the AI shift, PPC, technical SEO and analytics. Filtered, weighted and signed off by me before it goes out. The judgement is mine, and now you can hear every edition in my own voice.
Nic CraneFounder, The Crane Consultancy
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