How do I get my ecommerce store recommended by AI?

Ecommerce stores earn AI recommendations through Answer Engine Optimization (AEO) that combines rich product data, third-party validation, and content built around real buyer questions. Product pages need clean Product, Offer, and Review schema so LLMs can read price, availability, materials, sizing, and ratings — and they need substantive descriptions, not the manufacturer’s boilerplate every competing retailer is also using. Independent reviews and editorial mentions carry enormous weight: AI engines lean heavily on Reddit threads, YouTube reviews, Wirecutter-style roundups, Trustpilot, and category-specific publications when deciding which stores to surface. Comparison and buying-guide content published on your own domain captures consideration-stage queries (“best running shoes for flat feet,” “most durable luggage under $300”), turning your site into a citation source rather than just a destination. Technical fundamentals still matter — fast pages, crawlable category navigation, and proper canonical tags — because if AI engines can’t efficiently index your catalog, they can’t recommend it.