Industry · Restaurants & Hospitality

"Where should I eat in [city]?" is now answered by AI first.

Menu, hours, location, seasonality - all live in structured signals. When AI recommends restaurants, it recommends the ones whose data it can trust.

How AI picks restaurants
Recommendation engines pull from Google, Yelp, TripAdvisor, OpenTable, and your own site. Consistent NAP, live menu schema, hours, cuisine tags, and freshness signals are what make you a candidate. Everyone else is filtered out.
Why most restaurants miss it
Menus in PDFs AI can't read. Hours out of sync between Google and Yelp. No structured cuisine or price tags. No fresh signals when the menu changes seasonally. Reviews that never make it into structured data.
What we do
  • Menu, hours, location, cuisine and price schema (Restaurant + MenuItem)
  • Google Business Profile + Yelp + TripAdvisor NAP consistency
  • Freshness signals for seasonal menus and events
  • Disclosed real-customer review engine
  • Local content: 'best [cuisine] in [neighborhood]' answer pages
  • Photo and OpenGraph optimization for AI answer cards
Compliance gate
Reviews are earned and disclosed - never seeded. FTC endorsement rules and Yelp/Google terms make manufactured reviews a liability, not an asset.
Related services

Ready to be the restaurant AI names?

The free audit runs your menu, hours, location and review signals against how ChatGPT, Gemini and Perplexity actually answer 'where should I eat in [your city]?' - and returns the exact gap list.