Fetch the canonical page
A protected server-side reader inspects the public HTML, canonical signals and visible venue facts.
Free restaurant AI search tool
Restaurant AI Visibility Diagnostic
Give Schmitdy one restaurant page. We inspect the live HTML and robots rules, combine that with your operating inputs, and return a four-part score with the next three fixes.
AILive page checkAIRobots evidenceAIFour-part scoreAIThree next fixes
The restaurant evidence inspection line
Method
How the diagnostic works
Read crawler access
The tool checks robots rules for search access and flags explicit blocks or missing evidence.
Separate observation from self-report
Coverage, review operations and prompt testing remain clearly labelled operator inputs.
Prioritise the next three fixes
The lowest-scoring evidence layers determine the practical action order.
FAQ
Questions about the diagnostic
Does this check whether ChatGPT currently recommends my restaurant?+
No. It inspects whether one live page supplies a usable first-party record and combines that with your declared outside-proof and testing process. A true visibility baseline requires a fixed prompt set across relevant engines.
Why do you need a work email?+
The diagnostic is a free Schmitdy lead tool. We save the email, restaurant name, page URL and operating context so Marco can follow up. The fetched page body is not stored in the lead record.
Can restaurant groups use it?+
Yes. Run one diagnostic per venue page. A group page cannot prove that every location has a clean identity, menu, hours and source footprint.
What makes the result trustworthy?+
Every result separates live observations from the information you supplied. Missing evidence reduces the score rather than being guessed.