Use case · Hospitality & Restaurants
Guests ask AI where to go. Be the place it recommends.
"Best restaurant for a date night in [city]" or "where should I stay near [landmark]?" — AI answers with a couple of names. For hospitality, being in that answer is the booking.
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01 · The queries
What your buyers actually ask AI.
Live, high-intent prompts in your category — the kind a buyer runs minutes before they decide who to contact. We map 80+ of them per engagement and re-run the set every week.
- 01“best restaurant for a date night in [city]”
- 02“where to stay near [landmark]”
- 03“is [your place] good — recent reviews?”
- 04“best [cuisine] in [neighborhood]”
- 05“family-friendly [restaurant or hotel] in [city]”
02 · The sources
Where AI looks for hospitality & restaurants.
Every industry has its own citation landscape. These are the sources engines reach for when composing an answer in your category — and where we do the work.
- 01
Google, Yelp, TripAdvisor
The review platforms engines read first for hospitality recommendations.
- 02
OpenTable, booking + editorial lists
Reservation signals and best-of coverage the web-index layer reaches for.
- 03
Restaurant + LocalBusiness schema
Markup for cuisine, hours, price range, and amenities engines can parse.
03 · What we do
Built for hospitality & restaurants.
We align your listings across the platforms engines trust, build review velocity and sentiment, and structure your venue data so AI recommends you for the occasions and searches that fill tables and rooms.
Now
intent — guests decide in the moment, through AI.
5
engines tested on the queries guests actually use.
Weekly
tracking with dated screenshots of named answers.