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How clearly can AI read your brand?

Claude reads your site and scores five technical readiness criteria in under 60 seconds. It does not measure live mentions, share of voice or citations.

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What this screen checks

Five dimensions of technical clarity. Each one asks a plain question: can a language model find your content, parse it without guessing, and resolve who you are?

LLM Visibility

Whether machine-readable companion files exist and respond — llms.txt, llms-full.txt, prose documents an assistant can ingest directly instead of scraping a rendered page.

Structured Data & Schema

Which Schema.org types you publish and whether they are typed correctly. Organisation, LocalBusiness, Service and FAQPage carry different weight for entity resolution.

Content AI-Readability

Whether the prose states plainly who you are, where you are and what you sell — and whether depth exists on the pages that matter, or only on the homepage.

Brand Signal Strength

How resolvable your brand is as an entity: named people, a fixed location, consistent naming across pages, and third-party references that corroborate the claims.

B2A Readiness

Whether the site treats AI systems as a real audience — crawler rules, endpoints, answer infrastructure — rather than leaving them to guess from marketing copy.

What it does not tell you

The honest limit

This is a technical readiness screen. It reads what your site publishes. It does not query ChatGPT, Gemini, Perplexity or Claude, and it does not count how often your brand actually appears in their answers.

A perfect score means an AI system will find nothing in its way. It does not mean the system will mention you, cite you or recommend you. No technical change can promise that, and anyone who tells you otherwise is selling something.

Measuring the other half

Live appearance is a separate exercise: fixed prompts, named models, one language, one market, repeated over time. Mentions, share of voice and citations are three different things and move independently.

We published a worked example — all 50 state-certified medical spa centres in Bulgaria, put to four assistants in two languages, with every answer reproduced verbatim: the full dataset. Twenty-three of the fifty appeared in none of the 80 answers.

Why technical clarity still matters

An assistant answering a question about your category assembles that answer from sources it can read and trust. If your site forces it to infer your location from a footer, your services from a carousel, or your name from an image, it will lean on whoever made those facts easy — often a directory or a competitor.

Clarity does not buy you a recommendation. It removes the reasons to be skipped. That is a smaller claim than most of this market makes, and it is the one we can stand behind.

Search engine optimisation remains the foundation underneath all of this. B2A is the environment, not a replacement for the fundamentals. Every term defined.