According to Adobe data, AI traffic to retail websites in the US increased by 269% in March, with such visitors generating more revenue than regular shoppers.
Adobe reports that AI traffic to retailer websites in the US rose by 269% over the past year, continuing a trend that began during the holiday season when it grew by 693%. In the first quarter of 2026, the growth was 393% compared to the same period last year, driven by the increasing number of consumers using AI assistants for online shopping.
The decline in traditional traffic is becoming evident: shoppers using AI convert to sales more easily, engage more actively with content, spend more time on websites, and generate higher revenue per visit. This trend contrasts with last year's situation when regular customers brought in more revenue for retailers.
Adobe specialists analyzed over 1 trillion visits to American retailer websites and conducted a survey of 5,000 respondents about the use of AI in shopping. The results showed that 39% of respondents use AI for online shopping, and 85% confirm that it enhances their experience. Additionally, 66% are confident in the accuracy of the results provided by AI tools.
AI traffic converts 42% better than live customer traffic in March 2026, setting a new record. This contrasts with March 2025, when AI traffic converted 38% worse than regular visitors.
Shoppers arriving at retailer websites through AI have a 12% higher engagement level compared to traditional traffic sources, spend 48% more time, and view 13% more pages. As a result, revenue per visit from AI traffic is on average 37% higher than from traditional traffic.
However, not all retailers are prepared for such growth. Adobe warned that about 25% of content on retailers' homepages is not optimized for AI, and 34% of product pages are inaccessible to this technology. It is recommended to improve website accessibility for LLMs to remain competitive in the online shopping market.
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