Does AI recommend your restaurant?
Rekkd scans ChatGPT, Gemini, Claude, and Perplexity in one pass — then delivers a visibility score and a prioritized fix queue your team can ship.
- 4 AI engines in one scan
- Website & schema checks
- 3 free checks / month
Sample report
Le Jardin Social
Modern European bistro, Paris · Grade B
Shadow profile — how AI sees this restaurant
What the engines said
#1 action — do today
Expose dishes, prices, and dietary cues as HTML text instead of PDF/images. Expected impact: +8 points.
AI shapes the shortlist before anyone opens Maps.
Recommendation engines synthesize what your restaurant seems to be, whether the data looks trustworthy, and how consistently the web repeats the same story.
Metadata becomes the pitch
Menus, schema, booking surfaces, and reviews decide whether you match prompts like "date night" or "best local spot."
Missing signals lower confidence
If the website is vague or listings disagree, models become hesitant even when the venue is a strong real-world match.
Fixes can be concrete
The right audit turns guesswork into a specific queue across content, structured data, and platform presence.
Start with the restaurant. Finish with a clear fix queue.
Built for operators, marketers, and owners who need a fast answer without a months-long SEO project.
Anchor the venue
Start with the Google Maps listing or core business details so the scan stays tied to the exact restaurant.
Interrogate the AI layer
Four AI engines plus hard website, schema, and platform signals so the report is grounded in evidence.
Ship improvements
An ordered action queue across copy, markup, menus, discovery surfaces, and confidence gaps.
Google Maps URL or manual details with name, city, country, and optional website.
Four engines, scenario prompts, and deterministic checks across website, schema, reviews, and listings.
Visibility score, cross-engine quotes, shadow profile, platform audit, and prioritized fixes.
The point is not just to know whether AI likes the restaurant. It is to know what to change next.
Built to help teams act, not just observe.
Each scan turns recommendation behavior into a readable picture of how your restaurant is interpreted across the web.
Visibility score
A stable benchmark weighing website quality, structured data, platform coverage, and engine output.
Shadow profile
See the cuisine, vibe, audience, and price signals AI already believes about you.
Cross-engine quotes
Read recommendation language from all engines side by side.
Scenario map
Test prompts for date night, brunch, business meals, tourists, and cuisine-specific discovery.
Platform audit
Spot where menus, booking links, and review platforms are missing or inconsistent.
Fix queue
An ordered action list with reasoning attached, so the next hour of work is obvious.
Start with one location. Scale when the workflow proves itself.
The free tier is enough to validate the motion. Upgrade when you want deeper reporting or ongoing tracking.
Free
3 checks/month — enough for a first visibility audit.
- AI visibility score & grade
- 2 AI engines (ChatGPT + Perplexity)
- AI quotes from 2 engines
- Basic scenario map
- Top 3 competitors & "Do today" items
- Follow 1 place
Pro
50 checks/month — for restaurants actively improving AI discovery.
- Everything in Free
- All 4 AI engines + synthesis report
- Full shadow profile & what-if analysis
- Full action plan + marketer brief
- Voice search & tourist vs local lens
- Score tracking & weekly dynamics
- Monthly Insights & PDF export
- Follow up to 10 places
Agency
Unlimited checks — for agencies and multi-location operators.
- Everything in Pro
- Unlimited followed places
- API access
- White-label PDF export
- Multi-location dashboard
- Dedicated support
Questions teams ask before the first scan.
What is AI visibility for restaurants?
Whether assistants like ChatGPT, Gemini, Claude, and Perplexity include your restaurant when someone asks where to eat, and how confidently they describe it.
How is this different from classic SEO?
Search ranking helps people discover your links. AI visibility is about whether a model chooses your restaurant in the answer itself.
What evidence does the report use?
Direct recommendation responses combined with website quality, structured data, listing presence, and platform coverage.
How long does a scan take?
Most checks complete in about two minutes.
Who is the Pro plan for?
Teams who want the full four-engine picture, deeper reporting, and ongoing score tracking after they start making changes.
See what AI is already saying about your restaurant.
Start free, audit one location, and get a concrete list of improvements.