E-commerce & Retail: AI visibility benchmarks
Product discovery prompts ("best X for Y") drive AI answers; product schema and buying guides are decisive.
Percentile benchmarks
p50 = industry median · p90 = what the top decile achieves.
| Metric | p50 (median) | p75 | p90 (top decile) |
|---|---|---|---|
| AI Visibility Index Composite 0–100 score of how visible brands are across ChatGPT, Perplexity, and Gemini answers. | 38 | 52 | 68 |
| Brand Mention Rate Share of buyer-intent prompts where the brand is mentioned in the AI answer. | 32% | 48% | 65% |
| AI Crawler Access How accessible the site is to AI crawlers (robots policies, WAF, render blockers). | 58 | 74 | 89 |
| Brand Accuracy How factually correct AI engines are when describing the brand. | 72 | 84 | 93 |
| Positive Sentiment Share of AI answers describing the brand positively. | 58% | 72% | 86% |
| Citation Share Share of AI answer citations that point to the brand's own domain. | 22% | 36% | 52% |
What AI engines cite here
- Buying guides
- Product review sites
- Marketplace listings
- Official product pages
Key insight
Product schema completeness correlates strongly with citation share in e-commerce. Stores exposing Product, Offer, and AggregateRating markup are cited noticeably more often than stores relying on unstructured pages.
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