The short version:
- Shoppers now ask AI for product picks, and AI answers with a short list of brands. You are on it, or the sale goes elsewhere.
- For ecommerce, AI leans on reviews, retailer pages, and roundup articles, not just your own product pages.
- The first step is to measure where AI names you across real buying questions, then fix the sources holding you back.
Why AEO matters for ecommerce
More shoppers start a purchase by asking an assistant “what is the best [product] for [need]?” instead of scrolling a search page. The answer is a short list of products. If your brand is not in it, the shopper never lands on your store, and you never see the lost sale in your analytics. New to the idea? Start with what is AEO.
What ecommerce buyers ask AI
Shoppers ask across the whole journey, and the answers name different brands at each stage:
- Category questions: “best running shoes for flat feet.”
- Comparison questions: “Brand A vs Brand B for durability.”
- Constraint questions: “sustainable candles under $30.”
A brand can be invisible in category questions while a shopper is still learning, then competitive once they compare finalists. One blended score hides that, which is why we break visibility out by buying stage.
Where AI looks for ecommerce brands
Most of what AI repeats about a product comes from third-party sources, not your own site. For ecommerce that usually means:
- Review volume on Amazon, Trustpilot, and retailer pages.
- Roundup and “best of” articles in publications AI cites for your category.
- Reddit and community threads where real buyers compare options.
- Your own product pages and structured data, rich enough for AI to understand what you sell.
See where AI names your store
Paste your store URL. We'll run real buying questions across ChatGPT, Gemini, and Claude and show you where you stand, who AI names instead, and what to fix first. Free to run, no card needed. See how your report works or why Adacity.