2 Sources
2 Sources
[1]
AI traffic to US retailers rose 393% in Q1, and it's boosting their revenue too | TechCrunch
As of March, AI traffic to U.S. retailers' websites rose by 269% over the previous 12 months, continuing the momentum during the holiday shopping season when AI traffic was up by 693%, according to new data released on Thursday by Adobe. And in the first three months of 2026, AI traffic had risen 393% compared to a year earlier, as more consumers used AI assistants for online shopping. The change in traffic sources isn't the only impact. AI visitors are converting better, engaging at higher rates, spending more time on sites, and driving higher revenue per visit, the data shows, often reversing trends from only a year ago, when regular customers were worth more to retailers. Adobe's insights are based on its analysis of online transactions, via its Adobe Analytics division, which covers over 1 trillion visits to U.S. retail sites. The analysis also relied on a survey of over 5,000 U.S. respondents about their use of AI when shopping, as well as the company's new AI Content Visibility Checker tool, designed to test retail websites for accessibility by LLMs. In Adobe's survey, 39% people said they used AI for online shopping, and 85% said it improved their experience. These findings are likely due to how AI helps people narrow down products to find what they need, and tap into discounts. In addition, 66% of those surveyed said they now believe AI tools provide accurate results when shopping. Unlike publishers, where AI is causing referral traffic to decline, retailers are incentivized to make their sites AI-friendly. Adobe's data found that AI traffic converted 42% better than living, breathing customers in March 2026, setting a new record. Notably, it's a reversal of a trend that told a different story only a year ago: in March 2025, AI traffic converted 38% worse than regular people. In addition, Adobe found that when a consumer lands on a retail site via an AI source, their engagement rate tends to be 12% higher than those who used non-AI sources. Shoppers also spend more time on the website (48% longer) and browse more pages (13% more pages per visit), the data shows. In terms of the top line, AI-driven revenue per visit (RPV) was 37% higher than non-AI traffic as of March. Just 12 months ago, regular human traffic was worth 128% more than AI. However, not all sites are ready for AI, Adobe warned. It found that roughly a quarter of the content on retailers' homepages has not been optimized for LLMs, nor has the content on category pages. Individual product pages fare even worse: around 34% of pages can't be properly accessed by AI. The company suggests that retailers work to make their sites more accessible to LLMs if they want to stay top-of-mind with online shoppers going forward.
[2]
AI Traffic Outperforms Paid Search for US Retailers, Adobe Says | PYMNTS.com
In March, AI traffic converted 42% better than non-AI traffic, marking a "major reversal" from a year earlier, when AI traffic converted 38% worse, Vivek Pandya, director of Adobe Digital Insights, said in a Thursday blog post. "Rising consumer trust has played a factor, with Adobe's survey showing that 66% of respondents believe AI tools provide accurate results," Pandya said. "This is giving shoppers confidence and driving more transaction activity." Conversion is a measure of visits to a website that result in purchases, according to the post. Two related metrics are also higher for AI traffic. Adobe found that in March, individuals who landed on a retail site from an AI source spent 48% more time on the website and browsed 13% more pages than those who landed from a non-AI source. The PYMNTS Intelligence report "How AI Becomes the Place Consumers Start Everything," which was published in December 2025, found that dedicated AI environments are beginning to replace traditional discovery. "Winning attention increasingly depends on whether a brand's offers, policies and product truths can be interpreted and recommended inside conversational environments," the report said. Adobe also announced in its Thursday blog post that the amount of traffic from AI sources to U.S. retail sites saw year-over-year growth of 269% in March and 393% in the three months from January through March. The company found that 39% of consumers said they have used AI for online shopping and that 85% of those consumers said the technology improved their shopping experience. "These figures highlight the durable value that AI is delivering in the eCommerce space, shortening the time it takes for consumers to find what they need or locate relevant discounts," Pandya said in the post. Adobe also released new data in the post showing that 66% of the individual product pages on retail websites can be read by large language models (LLMs), meaning that the other 34% of sites have not been optimized for LLMs. "Retailers have thousands of SKUs, and our data shows that much of the content is currently invisible to LLMs," Pandya said in the post.
Share
Share
Copy Link
AI traffic to US retailers exploded 393% in Q1 2026, with March alone seeing 269% year-over-year growth. Adobe's analysis of over 1 trillion retail site visits reveals AI visitors now convert 42% better than regular shoppers—a dramatic reversal from March 2025 when AI traffic converted 38% worse. The shift signals a fundamental change in how consumers shop online.
AI traffic to retail sites has transformed from an experimental channel into a dominant force driving eCommerce growth. According to data released Thursday by Adobe, AI traffic to US retailers surged 393% in the first three months of 2026 compared to the same period a year earlier
1
. In March alone, AI-driven traffic climbed 269% year-over-year, building on momentum from the holiday shopping season when AI traffic spiked 693%1
. Adobe's insights draw from analysis of over 1 trillion visits to U.S. retail sites through its Adobe Analytics division, combined with a survey of over 5,000 U.S. respondents about their use of AI when shopping1
.
Source: PYMNTS
The most striking finding centers on conversion rates, where AI traffic now outperforms traditional sources by a significant margin. In March 2026, AI traffic converted 42% better than non-AI traffic, marking what Vivek Pandya, director of Adobe Digital Insights, called a "major reversal" from March 2025, when AI traffic converted 38% worse than regular human traffic
2
. This dramatic shift reflects growing consumer trust in AI tools, with 66% of respondents now believing AI tools provide accurate results when shopping1
. Among consumers using AI for online shopping, 39% reported adopting these tools, and 85% said the technology delivered an enhanced shopping experience1
.
Source: TechCrunch
Beyond conversion rates, AI-driven traffic demonstrates superior engagement metrics across multiple dimensions. When consumers land on a retail site via an AI source, their engagement rate runs 12% higher than those arriving from non-AI sources
1
. Shoppers spend 48% more time on websites and browse 13% more pages per visit compared to visitors from traditional referral traffic sources2
. Revenue per visit from AI traffic now stands 37% higher than non-AI traffic as of March—another reversal from 12 months earlier when regular human traffic generated 128% more revenue than AI1
. These metrics suggest AI assistants help consumers narrow down products more efficiently and tap into relevant discounts, shortening the path to purchase.Related Stories
Despite the AI traffic growth, many US retailers remain unprepared for this shift. Adobe's new AI Content Visibility Checker tool revealed that roughly 25% of content on retailers' homepages and category pages hasn't been optimized for Large Language Models (LLMs)
1
. Product pages face even steeper challenges, with approximately 34% unable to be properly accessed by AI tools1
. "Retailers have thousands of SKUs, and our data shows that much of the content is currently invisible to LLMs," Pandya noted2
. This presents both a challenge and opportunity: retailers who optimize their sites for LLM accessibility stand to capture disproportionate share of AI-driven demand.Unlike publishers experiencing declining referral traffic from AI sources, retailers face strong incentives to make their sites AI-friendly
1
. The PYMNTS Intelligence report "How AI Becomes the Place Consumers Start Everything" found that dedicated AI environments are beginning to replace traditional discovery methods, with winning attention increasingly dependent on whether a brand's offers and product information can be interpreted inside conversational environments2
. Adobe recommends retailers prioritize making their sites more accessible to LLMs to stay competitive as consumers using AI for online shopping continue to grow. The data suggests AI traffic now outperforms paid search in key metrics, positioning it as a critical channel rather than an experimental one. Retailers should watch how quickly competitors optimize for LLM visibility and monitor whether conversion rate advantages persist as AI shopping becomes mainstream.Summarized by
Navi
[1]
09 Jul 2025•Business and Economy

25 Nov 2025•Business and Economy

28 Nov 2024•Technology

1
Policy and Regulation

2
Policy and Regulation

3
Technology
