Most SEO teams don't know they have a synchronization gap until a competitor shows up in an AI Overview where they should be. By then, the damage is already done — qualified traffic is routing around you, and your attribution model has no record of the loss.
This is the audit that closes that blind spot. It's not a tool report. It's a diagnostic framework that maps the gap between what your structured data says and what AI engines can actually read from your visible page content. Five steps. No paid tools required for the core checks. Actionable output at every stage.
Why Standard SEO Audits Miss This
A standard technical SEO audit checks whether your schema is valid. It runs your pages through Google's Rich Results Test, confirms the JSON-LD parses without errors, and marks the box. That's a syntax check, not a retrieval check.
The problem is that AI engines — ChatGPT, Perplexity, Google's AI Overviews, Claude — don't retrieve your schema the way a rich results validator does. Most of them use retrieval-augmented generation (RAG) pipelines that scrape your page content, strip the HTML, and convert it to plain text or markdown. The `