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AI helps with product search, but rarely takes over the checkout. In a US survey of 1.006 consumers conducted for Feedvisor in August 2026, 55 percent had used AI within the past six months to research or compare products. 62 percent would never let an AI agent order and pay on their behalf. Only five percent would buy an AI-recommended product immediately.
This creates a measurement gap for brands: being visible in AI answers does not automatically mean winning a sale. Reviews, prices, shipping and merchant trust remain separate stages in the purchase process.
The till still mostly sits with the retailer
Feedvisor surveyed consumers together with Zogby Analytics. The study shows a clear split between where the search starts and where the purchase happens: Amazon was named as the starting point of product search by 62 percent; according to the provider, that share was 80 percent the year before. 74 percent, by contrast, still named Amazon as the place where they are ready to buy.
The finding does not suggest that every AI interaction leads to a direct chatbot purchase. Quite the opposite: product search is spreading across more channels, while established marketplaces remain strong at checkout. The data concerns US consumers and is not a representative survey of German online shoppers.
Reviews provide the second confirmation
A further study by the marketing services provider PartnerCentric adds to the mechanism: 44 percent of the surveyed AI-influenced shoppers wanted to see reviews before acting on a recommendation. Among the particularly frequent AI buyers, 50 percent said delivery times and return rules influence their buying behaviour.
These percentages must not be directly combined with Feedvisor's figures. PartnerCentric analysed 696 AI-influenced shoppers with previously reported AI-recommended purchases and 319 creators; according to the company, the shopper sample was not quota-based and cannot be extrapolated to the US population. That is precisely why the qualitative agreement is interesting: visibility through AI does not replace human evaluation.
What social and commerce teams should measure
Three questions are more meaningful than mere mentions in AI answers: Do users find reliable reviews on independent platforms? Are product claims, availability and shipping costs consistent across the shop, social posts and marketplaces? And can you demonstrate additional qualified visitors as well as actual orders?
Our analysis of the significance of Reddit reviews in the Christmas season places this level of trust in context. The IAB finding on creator voices in AI recommendations shows why authentic product evidence can be valuable. For an overview of the different recommendation systems of ChatGPT, Google and Amazon, see our earlier analysis. How retailers are creating new entry points of their own is shown by Ask Target.
Classification: AI visibility is a relevant upper-funnel step, but reviews and purchase conditions still determine whether attention turns into revenue.
Sources: Feedvisor, original study "2026 E-commerce Consumer Behavior Report"; PartnerCentric, methodology and results, 12.08.2026; Modern Retail, 22.10.2026.
Stock image: rupixen / Unsplash. Not a depiction of the Feedvisor survey.