Multi-Brand RetailerCase Study
Retail & E-Commerce Authority Stabilization
Baseline Assessment
Initial SAS Score
31/100 (Grade D+)
Schema Types Present
3 (Organization, WebSite, Product)
Product Structured Data
Partial — missing reviews and offers
FAQPage Coverage
None
sameAs Links
2
Category Architecture
Flat — no CollectionPage schema
Identified Gaps
- Product schema missing AggregateRating and Offer details
- No FAQPage schema for product categories or return policies
- No CollectionPage schema — category pages invisible to AI
- Insufficient sameAs links for multi-brand verification
- No BreadcrumbList schema — navigation hierarchy invisible
- Return and shipping policies not structured — FAQ extraction impossible
- Client-side product rendering blocking AI crawler access
Interventions
- Enhanced Product schema with AggregateRating, Offer, and availability data
- Deployed CollectionPage schema for every product category
- Added BreadcrumbList schema across all product and category pages
- Implemented FAQPage schema with 25 Q&A pairs (returns, shipping, sizing)
- Added sameAs links to Amazon, Google Shopping, social platforms
- Created Authority Knowledge Surface for buying guides and comparisons
- Enabled server-side rendering for product pages
- Deployed Organization schema with brand hierarchy for multi-brand structure
Results
SAS Score: 31 → 68 (Grade B+) within 30 days
Product recommendations appearing in AI shopping assistant responses
Return policy FAQ cited directly in AI customer service queries
Category pages indexed by AI systems for product discovery
Cross-domain verification across 5 retail platforms
Stability Metrics
| Metric | Before | After |
|---|---|---|
| SAS Score | 31 | 68 |
| Schema Types | 3 | 11 |
| FAQ Coverage | 0 Q&As | 25 Q&As |
| Cross-Domain Links | 2 | 6 |
| Product Schema | Partial | Complete |
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