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Buyers are asking ChatGPT, Claude, Perplexity and Google's AI instead of searching. The answers cite a handful of pages. This audit measures whether any of them are yours, why, and what to change. Fifty prompts, one week, $750, re-measured in 30 days.

Fit
What you get
Written the way your buyers ask, across ChatGPT, Claude, Perplexity and Google AI. Run the same way every time.
Which pages each assistant reads and names, yours and your competitors', with rank.
What's on the cited pages that isn't on yours: phrasing, structure, facts, freshness.
Page by page, in order of return. Copy-level, not 'improve your content'.
Same panel again after the fixes, so you see movement or the honest lack of it.
Built on the same measurement rig I run for my own products; you get the raw data.
Process
The fifty prompts agreed with you, then run.
The citation map and the page-by-page list.
Same panel. A one-page delta.
Price
One week, one re-measure. Implementing the fixes is either your team's job or a small quoted build.
Nothing at this size. Multi-location or multi-brand panels are scoped on the call.
Questions
It overlaps. Search engines still matter and the same fixes usually help both. But AI assistants cite differently, and the audit measures that directly rather than inferring it.
No one can. I guarantee a measured baseline, a specific fix list, and a measured re-run.
A spreadsheet of every prompt, answer and citation; a written fix list; the delta report.
You describe the problem. I tell you what I'd build, what it costs, and whether I'm the right person. No deck.