GEO for restaurants: how to get cited by AI
Food queries are almost always local: «best dinner nearby» is assembled by AI engines from maps, reviews and venue markup. To get named, being delicious isn't enough — you need exact NAP, hours and Menu/Restaurant markup an AI can actually read.
Where you lose AI answers
- AI names aggregators and maps, not the venue's own site.
- The menu is an image or PDF — AI can't read it or cite dishes.
- Address, hours and phone differ across the site, maps and socials — AI loses trust.
How people ask AI
GEO checklist for this niche
Same address, phone and hours on the site, maps and LocalBusiness/Restaurant markup.
Dishes and prices in text with Menu/MenuItem and Offer, not an image; AI cites only readable content.
AggregateRating and Review in schema — a strong «best X nearby» signal for AI.
Name the district, transit, landmarks and «nearby/in town» in the text, not just the address.
Booking link/widget, deals via Offer, a menu-updated date — AI loves fresh, concrete facts.
Want this done for your site — end to end?
FAQ
Why does AI name an aggregator, not my venue?
Aggregators have structured NAP, menus and reviews that AI reads easily. Put the same data on your own site via Restaurant markup, and the engine can cite you directly.
Where does a cafe or delivery start?
Align NAP and hours everywhere, publish the menu as text with Menu and Offer markup, add reviews and geo signals to the copy, then run the pages through the GEO checker.