An AI visibility audit is not a 40-page strategy deck of invented TAM slides. It is a picture of what the engines already say about you.
What we run
We take a set of buyer prompts — category, comparison, “best”, trust and local or vertical variants — and run them across ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude. For each prompt we record:
- Whether your brand is named
- Whether a URL is cited
- How you are framed (leader, also-ran, missing, incorrect)
- Which competitors occupy the answer
What we inspect on the site
- robots.txt rules for AI crawlers
- sitemap coverage of the pages that should answer those prompts
- Homepage and key-page title, H1, canonical, Open Graph
- JSON-LD types present vs the types the prompts imply (Organization, Article, FAQPage, Person)
- Whether a definition-first page exists for the questions you are losing
What you receive
A confidential baseline you can verify by opening the same engines. We do not invent a “visibility score” that cannot be reproduced. If a number appears, you can recreate the method.
Engagements are scoped after the audit, not before. There is no public price list because the gap is not the same for a hospital group and a jewellery house.
Request the audit. Every finding is yours to verify.