New usage reports show AI assistants answering a growing share of product search queries
· News
New usage reports show AI assistants answering a growing share of product search queries
Fresh industry data published this week points to a steady climb in the share of product-related search queries being answered directly by AI assistants, with several independent measurement firms now putting the figure in the low double digits globally and higher in the shopping-heavy categories merchants compete on.
Three patterns stand out from the reports. First, comparison-style queries ("best X for Y", "X vs Z") are shifting to assistants fastest, because these questions map naturally onto the answer formats AI models produce. Second, queries with a clear commercial intent -- price, availability, shipping -- increasingly end in a citation rather than a click to a search listing. Third, the shift is not limited to one engine: ChatGPT, Perplexity, and assistant responses inside general search are all showing the same direction.
For merchants the practical consequence is direct. A sizable and growing share of product discovery now happens without a traditional results page at all, which means the visible "cited set" of three to five sources an assistant names is becoming a primary surface, not a niche experiment. Winning a citation earns placement inside the answer; missing it means being entirely absent from the discovery moment.
The merchants already ahead in this environment share a few habits: they state price, stock, and shipping directly in readable text; they keep every surface consistent so an extractor can trust the page end to end; and they recheck their pages after every promo or price cycle so a stale fact does not quietly drop them out of the cited set.
Visora's view
When assistants answer a growing share of product queries, citation placement stops being a nice-to-have and becomes a core visibility metric -- and it is one merchants can actually manage. Visora's free scan at geovisora.com/audit reads your product URLs the way an assistant does and shows which fields are clean, missing, or conflicting, so you can see exactly what is protecting (or costing) you a place in the answer before the shift accelerates further.
Go deeper
News tells you what changed. Our blog explains how to adapt schema, FAQs, and measurement.
Visit the GEO Knowledge Hub →https://geovisora.com/en/news/ai-assistants-growing-share-of-shopping-search-2026