Research
The Data Behind Restaurant AI
Recommendations.
The Restomend Restaurant Recommendation Index studies who AI recommends, where, and on what evidence — published with the full method, so anyone can check it.
The Index
Who Gets Recommended,
and Why.
Restaurant owners hear a lot of opinions about AI and very little data. The Index runs large, controlled sets of dining questions across the major assistants and publishes what comes back: which restaurants are named, how consistently, and which sources seem to stand behind them.
The first city-and-cuisine studies are in preparation. If there is a market you want to see studied, tell us.
Research topics
What the Index
Will Cover.
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In preparation
Most recommended by city
The restaurants AI names most often, market by market.
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In preparation
Most recommended by cuisine
How each cuisine’s shortlist is formed, and how concentrated it is.
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In preparation
Platform comparisons
Where different assistants agree on restaurants, and where they don’t.
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In preparation
Tourist versus local
How the answer changes when the diner is visiting.
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In preparation
Source analysis
Which publications, guides and listings keep turning up.
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In preparation
Review influence
What review volume and detail appear to do to inclusion.
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In preparation
Information accuracy
How often AI gets hours, menus and addresses wrong.
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In preparation
Reservation readiness
Whether a recommended restaurant can actually be booked.
Our standard
Every Report
Shows Its Work.
If you can’t check a figure, it doesn’t belong in a report.
- Test dates
- Platforms
- Location settings
- The full prompt set
- Number of tests
- Inclusion criteria
- Calculation method
- Limitations
- Author
- Data availability
AI Is Already Recommending
Restaurants in Your City.
Is yours one of them?
See how often your restaurant appears, which competitors are being selected, and what may be holding your recommendation visibility back.
Free restaurant AI snapshot. No credit card. No obligation. See a sample snapshot