Maps and restaurant listings in search
Ratings, photos, opening hours and price range.
Restaurant
AI visibility
for restaurants and cafes
A guest asks AI where to go for dinner for two, a meal with the kids or lunch near the office, and gets a handful of specific names. See whether your place is one of them, who’s ahead of you and where the model got those names.
a customer asks a model
“Where should I have dinner in central Manchester?”
what you see in brandinai
Models build the answer out of the city rankings they cite. You see which rankings those are, and how often each model draws on them.
- 3/9 models
- 4 places ahead of you
- sentiment: neutral
Prompts
What customers ask AI
Example questions that get AI to recommend specific brands. Track them in BrandinAI and check whether yours is on the list.
Discovery
- Where can I get good ramen in Sydney?
- Can you recommend an intimate restaurant in San Francisco for our anniversary?
- Where’s good for a weekend breakfast in Melbourne?
- Restaurant in Leeds for a team dinner for 20, up to £50 a head?
Comparison
- Which pizzerias in New York make the best Neapolitan pizza?
- Which cafe in Toronto’s Kensington Market is good for working on a laptop?
Local
- Where can I grab lunch near London Bridge for under £15?
- Kid-friendly restaurant in San Diego, ideally with a play area?
Sources
Where AI finds its answers
Asked where to eat, a model most often relies on sources like these. In BrandinAI you see which ones it cites when diners ask about places near you.
Restaurant review sites
City rankings of places to eat and reviews from diners, tourists included.
Restaurant guides
Awards and accolades cited when people ask for the best places to eat.
City guides and food blogs
“Where to eat in…” roundups for your city.
Your website
Your menu, prices, reservations and what makes your place stand out.
First steps
Where you start
- You monitor prompts the way a guest looks for a restaurant: a special occasion, the district, the cuisine - not your name.
- You check which sources models use for places near you, and make sure the menu, prices and opening hours there are current.
- You check what models say about you that is negative, and you know what to work on - in the restaurant and in how you communicate.
FAQ
Questions before you start
Yes. Visibility is calculated separately for each model, so you can see that, for example, ChatGPT mentions you and Gemini doesn’t. You can also check which sources the model that leaves you out relies on.
Yes. You add neighboring places as competitors and see which of them AI recommends more often than you, in which models and in what position.
Yes, you can change your prompts and strategy with the season. Before summer you might track “restaurant with outdoor seating in…”, and after it “office holiday party for 30 in…”.
You create a separate project for each location, with its own city and prompts. You can have as many projects as you like, and you split your package’s prompts between locations as you need.
Pull ahead of the restaurants in your neighborhood
See which restaurants AI recommends instead of yours, and start showing up in the answers before a guest books a table with a competitor.
Who it is for