AI-Driven Traffic to U.S. Retail Sites Surges, Outperforms Traditional Human Shoppers on Key Metrics: Adobe Data

Fresh research released Thursday by Adobe shows that AI-sourced traffic to U.S. retail websites grew 269% over the 12-month period ending in March 2026, extending the explosive growth seen during the 2025 holiday shopping season when AI-driven traffic jumped 693% year-over-year. Across the entire first quarter of 2026, AI traffic climbed 393% compared to the same period a year earlier, a shift driven by rising consumer adoption of AI shopping assistants.

A changing traffic mix is not the only notable impact of this AI shift. Adobe’s data confirms that AI-referred visitors outperform traditional shoppers across nearly every core business metric: they convert at higher rates, engage more deeply, spend more time on retail sites, and generate more revenue per visit. This marks a dramatic reversal of the trend from just 12 months prior, when regular human customers delivered far more value to retailers than AI-sourced visitors.

Adobe’s insights draw from a multi-source analysis: the company’s Analytics division processed data from more than 1 trillion visits to U.S. retail sites, the research team also surveyed 5,000+ U.S. consumers about their AI shopping habits, and leveraged the company’s new AI Content Visibility Checker, a tool built specifically to test how accessible large language models (LLMs) find retail web content.

Per the consumer survey, 39% of U.S. shoppers now use AI to support their online purchases, and 85% of those users report AI improves their overall shopping experience. This positive feedback stems from AI’s ability to quickly narrow down massive product catalogs to match shopper needs and automatically uncover available discounts. Even more notably, 66% of surveyed shoppers now say they trust AI tools to deliver accurate, helpful results for shopping queries.

This dynamic stands in sharp contrast to the publishing industry, where the rise of AI chatbots and AI-powered search has dragged down referral traffic for content creators. For retailers, however, the financial incentive to make sites AI-friendly is clear, given the performance of AI-sourced traffic.

In March 2026, AI traffic converted 42% better than traffic from traditional human shoppers, setting a new all-time record. This complete turnaround from 2025, when AI traffic converted 38% worse than regular shopper traffic, highlights how quickly consumer habits have shifted.

Beyond conversion, AI-referred shoppers deliver stronger engagement across the board: their overall engagement rate is 12% higher than shoppers arriving from non-AI sources, they spend 48% more time browsing retail sites on average, and view 13% more pages per visit, per Adobe’s data.

For the bottom line, the gap is equally stark: as of March 2026, AI-driven revenue per visit (RPV) was 37% higher than RPV from non-AI traffic. Just 12 months earlier, traditional human traffic delivered 128% more revenue per visit than AI-sourced traffic.

Despite this clear upside, Adobe warns that most retailers are not yet prepared to capitalize on the AI shopping boom. Roughly one-quarter of all content on retail homepages and category pages has not been optimized for LLM accessibility, and individual product pages — the most critical pages for driving sales — fare even worse: around 34% cannot be properly accessed by large language models.

To capture the growing share of AI-driven shopping traffic and stay top-of-mind with modern online shoppers, Adobe recommends that retailers prioritize updating their site content to be more easily discoverable and accessible by LLMs.