Restaurant GroupCase Study
Culinary & Restaurant Authority Stabilization
Baseline Assessment
Initial SAS Score
18/100 (Grade F)
Schema Types Present
1 (basic Organization)
Menu Structured Data
None
FAQPage Coverage
None
sameAs Links
1 (Instagram only)
Service Definitions
None — no catering/event schema
Identified Gaps
- No Menu schema — AI cannot parse offerings
- No FAQPage schema — common questions unanswered for AI systems
- Single sameAs link insufficient for cross-domain verification
- No LocalBusiness schema despite multiple locations
- No FoodEstablishment or Restaurant schema type
- Catering services described in unstructured paragraphs
- Review data not linked to schema — social proof invisible to AI
Interventions
- Deployed Restaurant + FoodEstablishment JSON-LD per location
- Added Menu schema with structured item descriptions and pricing
- Implemented FAQPage schema with 20 restaurant-specific Q&A pairs
- Added sameAs links to Yelp, Google Business Profile, OpenTable, TripAdvisor
- Created Service schema for catering with explicit deliverables and pricing
- Deployed Authority Knowledge Surface for cuisine-specific content
- Added AggregateRating schema pulling from verified review platforms
- Implemented multi-location LocalBusiness schema with area served
Results
SAS Score: 18 → 67 (Grade B+) within 30 days
AI citations for "best [cuisine] restaurant in [city]" within 3 weeks
Menu items appearing in AI-generated dining recommendations
Catering service cited in AI responses to event planning queries
Cross-domain identity verified across 5 platforms
Stability Metrics
| Metric | Before | After |
|---|---|---|
| SAS Score | 18 | 67 |
| Schema Types | 1 | 9 |
| FAQ Coverage | 0 Q&As | 20 Q&As |
| Cross-Domain Links | 1 | 6 |
| Menu Structured Data | None | Full |
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