● GUIDE / AI SHOPPING RECOMMENDATIONS
How AI shopping recommendations
change ecommerce discovery.
Customers increasingly use AI tools to narrow options, compare products and ask which brands may suit a particular need. These interactions often happen before a customer reaches a retailer’s site.
What a recommendation can include
An AI response may mention several brands, position one as best for a use case, compare strengths and weaknesses, or point to publishers and product sources. The important question is not only whether your brand appears, but how it appears in relation to competitors.
Questions ecommerce teams should test
Start with the real questions customers ask when deciding: category recommendations, product comparisons, use-case questions, price or value queries and alternatives to named competitor products. Assess the answer across relevant AI tools and record brand mentions, positioning and cited sources.
What to do with the findings
Use patterns—not one isolated response—to identify gaps. A recurring absence may point to missing category content, unclear product information, limited third-party coverage or publisher opportunities worth investigating.