Results
Restaurant AI Visibility—
Measured.
Every result we publish comes with the prompts, platforms, dates and limits behind it. No mystery score, no screenshot passed off as a trend.
Case studies
Published When
They’re Real.
Case studies appear here once a client’s testing period is complete and they have approved what we publish — not before, and never as a single flattering number.
Every case study will show
- Restaurant
- City and cuisine
- Testing period
- Prompts tested
- Platforms tested
- Starting recommendation rate
- Competitors
- Problems identified
- Work completed
- Final recommendation rate
- Source changes
- Business impact, where measurable
- Limitations
- Client approval to publish
Measurement
One Screenshot Is
Not a Strategy.
No mystery score. You see exactly what changed, and what it was measured against.
AI answers can change by platform, location, wording, date, conversation, and available information. Restomend measures repeated performance across a controlled set of restaurant questions.
Recommendation rate
Seven months of repeat testing on one controlled prompt set.
What gets reported
- Recommendation Rate
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18 / 75
How often the restaurant appears across the tested answers.
- Top-Three Inclusion
-
31 %
How often it appears among the first three suggestions.
- Competitor Share
-
2.4 ×
How frequently competitors appear by comparison.
- Source Coverage
-
6
Which credible sources support the restaurant.
- Information Accuracy
-
4 / 5
Whether public restaurant details are correct.
- Reservation Readiness
-
3 / 4
Whether a diner can act on the recommendation.
Proof
See the Work
Before You Hire Us.
Case studies come with the prompts, the platforms, the dates, and the limits.
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A complete sample snapshot
The full entry audit, unredacted, on a real restaurant.
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Public restaurant analyses
Open teardowns of how a restaurant reads to an assistant.
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City-and-cuisine studies
Who gets recommended in a market, and which sources decide it.
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Methodology
The prompts, platforms, dates, and limitations behind every figure.
Limitations
What We Won’t
Claim.
- A single AI answer proves nothing. We only report repeated tests on a fixed question set.
- Answers vary by platform, location, wording and date. Every figure names its settings.
- Attributing one booking to one AI answer is not reliably possible, and we won’t claim it.
- Correlation is not control. We report what changed alongside the work — never that we caused an AI’s choice.
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