
What happened
Adobe recorded a 1,200% increase in traffic to U.S. retail websites from generative AI sources between July 2024 and February 2025. During the 2025 holiday season, AI-driven traffic to U.S. retail sites rose 693.4% year over year.
Why it matters
This marks a structural shift from human browsing to AI-driven discovery and agentic commerce, where AI agents compare options and execute transactions on a person's behalf. Visitors from AI sources spent 45% longer on retail sites and viewed 13% more pages per visit.
What to watch
According to Searchflex, the next visibility problem for ecommerce brands is whether AI systems can understand products, differentiate them from alternatives, and confidently recommend them — a challenge distinct from conventional SEO.
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The data spans two separate measurement periods seven months apart, which Adobe's research suggests distinguishes a genuine structural shift from a short-lived spike tied to a single product launch or news cycle. The first period showed a 1,200% increase in AI-generated traffic to U.S. retail sites, while the second, covering the 2025 holiday season, showed a 693.4% year-over-year rise.
The shift matters because purchasing is being restructured around AI systems rather than human browsing habits. Traditional ecommerce involves a human searching, evaluating, and checking out. AI discovery adds an AI recommendation step before the human completes the purchase. Agentic commerce removes the human from most of the process entirely, with software agents making comparative decisions and taking action on a person's behalf — the same underlying pattern found in autonomous systems.
For ecommerce brands, this creates a new visibility challenge. As Searchflex notes, the question is no longer just whether Google can crawl a product page, but whether AI systems can understand the product, differentiate it from alternatives, and confidently recommend it. Structured product information, reviews, detailed specifications, merchant feeds, and schema markup all contribute to how well machines can represent a product, though nobody outside the AI labs knows precisely which signals carry the most weight.
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