[ Restaurants & food delivery ]
Be the restaurant AI recommends.
When diners ask ChatGPT, Gemini and Google for the best place to eat, the healthiest lunch, the spot for a casual meeting, or where to order from tonight, we make sure your restaurant is the answer. No paid delivery-platform spend required.
“If I had to choose one, I’d recommend Torrisi in Nolita: inventive Italian-American food, excellent pasta, polished service and a lively New York atmosphere. Other top choices by style: Rezdôra for traditional Emilia-Romagna pasta, Via Carota for a classic Greenwich Village trattoria, Don Angie, Lilia…”
Asked “What is the best Italian restaurant in New York?”. Five restaurants appeared in more than half of the 29 answers.
[ The questions your customers ask AI ]
[ Why it matters, in numbers ]
1 in 5
diners now use AI like ChatGPT to decide where to eat, level with Bing
Reputation / Nielsen, 2025
45%
of 35–44-year-olds use AI for venue discovery
Reputation / Nielsen, 2025
52%
of diners are open to AI restaurant recommendations
DoorDash / Dynata, 2025
83%
of restaurants are invisible in AI search today
Uberall, 2026
[ Typical problems ]
Five reasons AI names the restaurant down the street.
The shortlist is built from guides and review sites, not from your site.
Ask for the best Italian in a city and the model assembles an answer from Time Out, Tripadvisor, local blogs and the press. If none of them wrote about you, you are not in it.
AI knows your name and still recommends someone else for the occasion.
By name, the answer is right. Ask for a birthday dinner, a business lunch, somewhere vegan, and it names competitors. Those are the questions that fill tables.
Your menu is a PDF or an image.
Dishes, dietary options, prices and hours that a model cannot read are dishes it cannot recommend you for.
Delivery platforms own your demand and rent it back.
Every order that starts inside a platform costs you a commission. An order that starts in an AI answer and lands on your own site does not.
Nobody can see which occasions you lose.
No report, no owner, no baseline. The first step is knowing which dining questions name you and which name the restaurant down the street.
[ Built for your category ]
Three kinds of operation, three different plays.
Independent restaurants
One room, a local reputation
Where it hurts
Loyal regulars, invisible in the occasion questions that bring new tables.
What works
- One page per occasion and dietary question, not one page per dish
- A machine-readable menu with hours, prices and dietary detail
- Get into the city guides those answers are built from
What we aim for
Named for your cuisine, neighbourhood and occasion prompts inside two to three months.
Groups & multi-site
Several rooms, one brand
Where it hurts
The brand resolves, the neighbourhood question does not, so a single independent takes the booking on your own street.
What works
- A real page per site, not a template with the district swapped
- One entity record per location, kept consistent
- Prompt set per site, tracked monthly
What we aim for
Each room named for its own catchment, with a number per site per month.
Delivery-led kitchens
Most orders arrive through a platform
Where it hurts
Demand is rented. Commission scales with success and the customer belongs to the app.
What works
- Answer the order-tonight questions on your own domain
- Dietary and cuisine pages that a model can quote
- Direct ordering that survives the click from an AI answer
What we aim for
A direct channel that grows while platform dependence stops growing.
[ What we found ]
We asked ChatGPT, Gemini and Perplexity for the best Italian restaurant in New York, ten times each.
29
answers collected
12
different restaurants named
5
restaurants named in more than half of the answers
13 / 19
sourced answers that cited a guide or a booking site
Prompt: “What is the best Italian restaurant in New York?”. ChatGPT (gpt-5.6-luna, no browsing), Gemini 3.6 Flash with Google Search, Perplexity sonar. Ten runs each, 9 September 2026.
[ How we work with restaurants ]
Dining prompt strategy
Map the exact questions your customers ask AI, cuisine, occasion, dietary, neighbourhood, and target them.
Machine-readable menu
Structure your menu, dietary options and hours so AI can read and quote them accurately.
Local authority
Google Business Profile, reviews and third-party mentions that AI models trust for local dining.
Answer-shaped content
Pages and articles built to be the cited source for high-intent dining and delivery queries.
[ Free snapshot for restaurants ]
See which restaurants AI recommends instead of yours.
- Six real dining questions for your city and cuisine, run on ChatGPT, Gemini and Google AI Mode
- Every restaurant named instead of you, per engine
- The guides and sources those answers cite
- In your inbox within 3 working days
[ Quick wins ]
4 things you can do this week.
Ask AI for the occasion you want to own
“Best place in [your city] for [your occasion]”. If you are not named, that is the gap. Run it on our free scan.
Put your menu in text on your own site
Not a PDF, not an image, not only inside a delivery app. Dishes, dietary options, prices and hours as readable text.
Write one page per dining occasion
Business lunch, birthday dinner, vegan options, dog friendly. One page each, answering properly.
Get into one city guide
Run the prompt, open the sources it cites, pitch the roundup that lists your competitors and not you.
[ Proof ]
Wandr · Healthy restaurant · Dubai
Invisible across AI to 1st in Google AI Overviews and 2nd on Gemini, doubling Deliveroo orders in 3 months.
- Deliveries 2× in 3 months
- 1st Google AI Overviews
- 7 of 10 prompts now visible
[ Questions ]
Will this cut my reliance on Deliveroo / Talabat ads?+
That is the point. Wandr doubled delivery orders in three months with no paid food-platform campaigns, purely by becoming the answer AI gives.
How long until we see results?+
Most local restaurants see measurable AI-visibility gains in 6 to 8 weeks.
Does this work for a single location?+
Especially well. Local intent is exactly where AI recommendations are most decisive.
We haven't opened yet, too early?+
No. Pre-launch is ideal: we can make you the answer before opening day (we did exactly that for a Dubai brand that sold out day one).
Ready to be the restaurant AI recommends?