AI Referrals to Retail Sites Surged 302% While Every Other Traffic Channel Grew 0.8%

AI-driven referrals to retail websites surged 302% through 2025 and accelerated a further 128% in the first half of 2026, while all other referral sources — search, social, email, and direct — grew a combined 0.8%, according to eMarketer data. The numbers describe a structural reordering of how shoppers find products, and retailers are racing to position for a channel that did not exist at meaningful scale three years ago.

How this happened. The 302% figure covers the period when AI shopping assistants embedded in ChatGPT, Google's AI Overviews, Perplexity, and similar tools moved from novelty to default for a growing segment of consumers. When a shopper asks an AI assistant for a specific product recommendation and receives a direct link, that interaction registers in retail analytics as an AI-driven referral. The category grew faster than most forecasts anticipated.

The major retailers are reacting. Gap, Best Buy, and Dick's Sporting Goods are among the chains cited by eMarketer as accelerating AI deployment across both internal workflows and customer-facing discovery tools. The acceleration is not just about capturing inbound AI referrals — it's about becoming the destination AI recommends. Retailers are specifically investing in structured product data and machine-readable inventory feeds to improve how their products surface in AI responses.

What 0.8% combined growth tells you. The combined 0.8% growth across all non-AI referral channels is not alarming in absolute terms — it still represents billions of visits. But it signals stagnation in the traditional channel mix. Search traffic is being absorbed by AI Overviews that answer queries without requiring click-through. Social commerce has plateaued in many categories. Email open rates have not meaningfully recovered. AI referrals are growing against a largely static baseline, which makes the differential even more significant.

The discovery layer is being rebuilt. How shoppers move from intent to specific product awareness has historically been owned by Google search and social platforms. AI shopping assistants are inserting a new layer between consumer intent and product pages. For retailers, this creates:

• An opportunity: AI can surface their products to highly qualified buyers who have already described exactly what they want
• A risk: retailers not visible in AI results lose access to a fast-growing discovery channel entirely

What retailers need to do. The shift has practical implications that go beyond adding another marketing channel:

• Product data quality becomes a competitive differentiator. AI systems recommend products they can describe accurately; sparse or inconsistent catalog data reduces visibility.
• AI-native merchandising — designing product descriptions and catalog structures for machine readability — is emerging as a distinct capability separate from traditional SEO.
• Attribution models built on last-click miss AI-influenced purchase journeys entirely. A shopper who discovers a product through ChatGPT and purchases three days later through direct traffic will not show up as AI-influenced under standard models.
• Direct platform relationships with AI providers may become necessary for major retailers in the same way Google Shopping feeds became necessary in the 2010s.

The longer arc. The 302% figure will not compound indefinitely — at some point AI referral share reaches a new equilibrium with the broader channel mix. But we are nowhere near that equilibrium. As AI assistants become more integrated into operating systems, browsers, and smart devices, the share of product discovery flowing through them will continue to expand. The retailers who build AI visibility now are positioning for a channel that is growing. Those optimizing only for traditional channels are allocating resources to channels that are not.

What to watch. How Google responds as AI Overviews divert product discovery queries from standard search results, and whether major AI platforms launch structured retail feed programs that give brands direct levers to influence recommendation visibility.