boltTLDR
AI platforms cite and drive traffic to a broader range of ecommerce pages—guides, policies, reviews, and support content—not just product pages, reframing how brands should optimize for AI search.
Aleyda Solis analyzed citation and traffic data from AI platforms across five ecommerce verticals (general marketplaces, beauty, fashion, electronics, and sports) and found that AI systems rely heavily on pages that resolve buyer uncertainty before, during, and after purchase—including size guides, policies, tutorials, and third-party sources—rather than solely transactional pages. The analysis reveals a disconnect between which pages AI cites as evidence and which owned pages users actually visit from AI interactions, showing that effective ecommerce AI optimization requires balancing both the citation layer and the click layer, not just making PDPs machine-readable.