Adobe: AI traffic to American retail grew 393% in Q1 2026

According to Adobe Analytics, traffic from AI sources to US retail websites grew by 393% in Q1 2026 compared to the same period in 2025. In March alone, growth reached 269%. This is not simply a visitation statistic—Adobe's key finding is that users coming from ChatGPT, Perplexity, and similar services convert better and spend more than regular visitors from Google or direct traffic.

Adobe Analytics is one of the largest aggregators of user behavior data in e-commerce. The platform covers thousands of US retailers and captures hundreds of millions of transactions annually, making its data among the most representative in the industry. By AI-traffic, the company means referrals from platforms based on generative AI: ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, Claude, and others.

These tools increasingly serve as entry points to the purchase funnel—instead of traditional search. Growth of 393% per quarter is phenomenal. Back in 2023, AI-traffic in retail was statistically insignificant and was barely tracked as a separate category.

In 2024, Adobe registered the first signs of the trend, and early 2026 transformed it into a full-fledged marketing channel. Notably, growth is accelerating: overall Q1 showed a 393% increase, while March alone showed 269% year-over-year growth. This indicates that the penetration of AI assistants into everyday shopping is not just continuing—it is intensifying.

The most important finding in the report is not the absolute growth in traffic, but its quality. Users coming through AI tools demonstrate higher conversion rates and larger average order values compared to those finding stores through regular search. The explanation is straightforward: when someone asks ChatGPT about a specific product, they receive a recommendation with detailed justification.

By the time they navigate to the retailer's website, they already know exactly what they want to buy and arrive with clear purchase intent—not a desire to browse hundreds of items looking for something suitable. In essence, the AI assistant assumes a role previously played by aggregator sites and review platforms: it helps users form their decision before the transaction occurs. For the e-commerce industry, this dynamic means the need to rethink marketing strategies.

Traditional SEO is oriented toward search engines: keywords, backlinks, technical optimization. AI models work differently—they synthesize information from multiple sources and favor content that is structured, authoritative, and capable of answering specific questions clearly. This has spawned a new field—Generative Engine Optimization (GEO).

In its logic, the winner is whoever created detailed product specifications, comparison tables, and expert content: this is exactly what AI models will cite to users in their responses. Large US retailers are already adapting: updating product cards, adding structured data and FAQ sections, hiring GEO specialists. The first specialized agencies emerged in 2024, and their number is now growing rapidly—similar to how the entire SEO industry emerged in the late 1990s with the rise of Google.

Adobe's report confirms that AI-powered search has moved beyond experimentation and become a real channel for attracting customers. Almost 400% growth per quarter represents a shift in the behavioral model of millions of users. A channel that a year ago generated single-digit traffic percentages is now comparable in significance to email marketing and is rapidly approaching organic search.

Retailers that fail to adapt their strategies to this reality risk finding themselves falling behind—and with each quarter, the gap will only widen.