AI visibility for e-commerce — getting products cited in AI answers

E-commerce AI visibility is different from service business AI visibility. Here's the breakdown: **What AI systems cite for product queries:** 1. Product comparisons ("best [product type] under $100") 2. Product reviews and ratings 3. Buying guides 4. Brand information and credentials **Schema types that matter for e-commerce:** - Product schema (name, price, availability, reviews) - AggregateRating schema (review scores) - Organization schema (brand identity) - BreadcrumbList schema (site structure) - FAQPage schema (product FAQ pages) **What's working:** - AI Verified registration for the brand entity - Product pages with complete Product schema including reviews - Buying guide content with clear comparison tables - Brand story content that answers "who makes [product]?" **The challenge for e-commerce:** AI systems are cautious about recommending specific products because recommendations can be seen as commercial bias. The most successful e-commerce AI visibility strategies focus on informational content (buying guides, comparisons) rather than direct product promotion. **Practical tip:** Create a "Brand Story" page that answers "Who is [brand name]?", "Where is [brand] made?", "What makes [brand] different?" with Organization schema. This is the page AI systems are most likely to cite when someone asks about your brand.