Destination restaurant
Share of voice in the niche climbed from about 6% to 17% over four months, moving the restaurant into the set of places AI suggests first, while the leading competitors' share edged down. Figures are rounded measured estimates, not exact daily rankings. Results vary by market, model, prompt set, and implementation.
Measured result
Background
A destination restaurant — well known locally and busy on weekends, but reliant on word of mouth and reviews rather than search or AI.
The challenge
When diners asked AI for recommendations in its cuisine niche, the restaurant was invisible. Competitors with stronger structured data and review profiles owned the AI shortlist — some with a weaker in-person reputation.
What we did
We focused on the queries diners actually ask AI:
- Built cuisine- and occasion-specific content matched to real AI prompts
- Aligned listings, menus, and structured data across platforms
- Strengthened and surfaced the review signals the models weigh
- Created comparison and “best [cuisine] near me” pages
- Tracked share of voice against named competitors weekly
Results
Share of voice in the niche climbed from about 6% to 17% over four months, moving the restaurant into the set of places AI suggests first, while the leading competitors' share edged down. Figures are rounded measured estimates, not exact daily rankings. Results vary by market, model, prompt set, and implementation.
Measurement & evidence
- Market:
- Destination restaurant
- Period:
- 4 months
- Measurement:
- Fixed buyer-prompt panel, repeated across ChatGPT, Claude, Perplexity, and Google AI.
- Primary metric:
- Share of Voice — the business's share of all brand names appearing in the relevant answers, across repeated runs of the fixed prompt panel. How this is measured
- Starting point → latest measurement:
- 6% → 17%
- Actions completed:
- Built cuisine- and occasion-specific content matched to real AI prompts; Aligned listings, menus, and structured data across platforms; Strengthened and surfaced the review signals the models weigh; Created comparison and “best [cuisine] near me” pages; Tracked share of voice against named competitors weekly.
- Disclosed here:
- Category and market type, the measurement window, the metric definition, the provider set the prompt panel was run across, the before/after values, and the source-level work completed.
- Withheld:
- The client's name and domain, the verbatim prompt panel, and per-run answer text — the first because clients ask for anonymity, the last two because an engagement-specific panel would identify the client. Clients receive all three in their own reporting.
- Interpretation:
- Measured association after the completed work; not a guarantee that every change caused the full movement.
Before vs. after
By provider — Share of Voice
Client names withheld for privacy. Figures are rounded measured estimates, not exact daily rankings. Results vary by market, model, prompt set, and implementation. How this is measured.
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