The AI Search Audit checks 17 structural signals across 5 layers: Identity Clarity, Subject Authority, Meaning Architecture, Ecosystem Validation and Signal Consistency. Instead of testing prompts or counting citations, it evaluates the underlying data AI systems use — schema markup, entity consistency, content extractability, directory presence and misclassification risk. Audit covers Google AI Overviews, ChatGPT and Claude + No guessing, no AI opinion about AI — hard data, scored.
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Maker
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We built this because every AI visibility tool we found was doing the same thing — testing prompts, counting citations, tracking mentions. That's useful, but it only tells you what AI is saying right now. It doesn't tell you why.
If your business is being misclassified, ignored or inconsistently described across AI platforms, the problem isn't the prompt. It's the underlying signals AI systems are reading to form their understanding of you in the first place.
So we built an audit that checks the baseline. Seventeen structural checks across five signal layers: identity clarity, subject authority, meaning architecture, ecosystem validation and signal consistency. Schema markup, entity graph consistency, content extractability, directory presence, trust signals, misclassification risk — the actual data AI platforms use before they ever generate an answer.
One audit covers Google AI Overviews, ChatGPT and Claude. No prompt testing, no citation counting. Just the structural foundation that determines whether AI can understand your business accurately and recommend it confidently.
We're a small UK agency focused entirely on AI search visibility. This is the audit we run with every client. We've now made it available as a standalone tool.
Would love feedback from anyone who's noticed their business showing up differently — or not at all — across ChatGPT, Gemini and Perplexity.