One prompt shows you whether AI recommends a place like yours, how you stack up against the competitors it names instead, and exactly what to fix. Real, sourced research, not guesses.
Test whether AI actually recommends a place like yours, with the sources it used.
Ranked against the real local competitors AI names instead of you.
A prioritized fix list, ranked by impact and effort.
Paste this into a web-enabled ChatGPT or Claude, fill in the brackets, and read the report it gives you back. Screenshot it so you can track your progress later.
Fill in the brackets with your details and send it. It runs all three parts in one pass.
Search the web and act as a real diner. My restaurant: [name], [website], [full address], [cuisine], check average [$/$$/$$$]. 1) SHOW-UP TEST. Answer these the way a diner would, and list the exact listing or source you pulled each answer from: best [cuisine] in [neighborhood]; where to take a date in [city]; good [cuisine] near [a landmark 5 minutes away], open now; best [signature dish] in [city]. For each, name every restaurant you mention and say clearly whether I appear. 2) COMPETITOR GAP. For the places you named instead of me, compare us on the signals AI actually uses: Google Business Profile completeness, website clarity and structured data, review count and recency and whether reviews name specific dishes and occasions, listing consistency across Google, Yelp and TripAdvisor, and recent press. Show a table, me versus each competitor, and mark where I am behind. 3) FIX LIST. Give me a fix list ranked by impact and effort, highest impact and lowest effort first. For each: exactly what to do, why it moves AI visibility, and how long it takes. Specific to my gaps, not generic. Rule: only use facts you can actually open and cite. If you cannot verify something, say so instead of guessing.
AI builds its recommendations from your listings, your website, and your reviews, not your social feed. When those agree and use the words diners search, AI recommends you. When they are thin or inconsistent, it picks a competitor. A year ago 6% of diners used AI to choose a restaurant. Today it is 45%. This audit finds the gaps before they cost you another full section on a Friday night.
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