The Holiday Shopping AI Recommendation Tracker measures which retailers and products ChatGPT, Gemini, Perplexity and Claude name when a shopper asks for a gift recommendation. Adobe Analytics reported that AI-referred traffic to U.S. retail sites grew 693.4% year over year during the 2025 holiday season, and that this traffic converted 42% better than every other channel Adobe tracks. Most brands do not know whether an AI assistant names them, and this tracker measures that gap.
By the EPR Editorial Team, in partnership with 5W's AI Visibility Research team. Updated October 12, 2026. The 2026 holiday window runs through Black Friday on November 27 and Cyber Monday on November 30. All traffic and conversion figures below come from Adobe. Part of EPR's retail and ecommerce communications guide.
Why is AI the fastest-growing referral channel in retail?
AI is the fastest-growing referral channel in retail because traffic from generative AI sources grew faster in retail last holiday season than in travel (+539%), financial services (+266%) or tech and software (+120%), per Adobe Analytics. Growth continued into 2026: AI-referred traffic to retail sites rose 393% year over year in Q1, and March 2026 was up 269%, per Adobe's Q1 2026 AI traffic report.
Shoppers who arrive from an AI assistant behave like qualified buyers. They spend 45 to 53% more time on-site and view 13 to 23% more pages per visit. They are 65% more likely to feel confident in their purchase and 68% less likely to return it, per Adobe's Holiday 2025 Consumer Survey.
Why are most retail pages hard for AI models to read?
Most retail product pages are hard for AI models to read because their content is partly invisible to them. Adobe's AI Content Visibility Checker scores how much of a page's content a large language model can read, and the average product detail page scores 66%. Return policies, contact pages and FAQs score in the 70s and 80s because they are text-heavy and simple to parse. Product pages, which drive holiday revenue, score lowest.
What do Adobe's holiday numbers show?
Adobe's numbers show rapid traffic growth, a conversion advantage and a readability gap. The table lists the figures this tracker follows.
Metric
Figure
Source
AI-referred traffic to U.S. retail sites, 2025 holiday season
+693.4% year over year
Adobe Analytics
AI traffic on Cyber Monday alone
+670% to +1,950% year over year, depending on the year measured
Adobe Analytics
AI referral conversion rate versus other channels
42% better (record high, March 2026)
Adobe Analytics
Consumers who say AI improved their shopping experience
81% to 85%
Adobe Holiday Consumer Survey
Average machine-readability score of a retail product page
66%
Adobe AI Content Visibility Checker
How does the Holiday Shopping AI Recommendation Tracker work?
The tracker runs the same fixed set of gift-shopping prompts through ChatGPT, Gemini, Perplexity and Claude on a regular schedule through the season. The prompts span categories such as electronics, beauty, toys and home goods. Each run records which retailers and specific products the engines name, how consistently the same names repeat across all four platforms, and how much the answer shifts as new coverage, reviews and pricing enter the mix.
Repeated runs matter because a single snapshot misleads. EPR's research on the citation half-life of AI visibility wins found that only 10.6% of cited URLs persisted across 28 days, so a retailer named in early November has no guarantee of being named during Cyber Week.
What should retail and consumer brands do now?
Retail and consumer brands should treat AI recommendation rate and paid media as two separate jobs and fix both before Black Friday. Two actions come first.
Make product pages readable. Put key facts such as price, specifications, age range and return policy in plain page text, and check pages with Adobe's checker or by viewing the page without scripts.
Earn independent, current coverage. Muck Rack's May 2026 analysis found that earned media, broadly defined, accounted for 84% of links cited by ChatGPT, Claude and Gemini, so gift-guide placements and reviews in outside outlets matter more than a brand's own listing. For the mechanism, see What Is GEO?, and for which retailers the engines cite most, see EPR's Retail Citation Share Index 2026.
5W's AI Visibility Research team runs a similar check at the individual brand level, looking at which sources ChatGPT, Perplexity and Gemini pull from when they describe a client's products and which competitor wins the recommendation instead.
What happens to brands that ignore this channel?
Brands that optimize only for Google's results page miss the fastest-growing, best-converting channel in Adobe's retail data. The tracker gives retail and consumer brands a narrower question to answer: does an AI model name this brand when a shopper asks for a gift recommendation in its category, right now?
Bianca Searcy is a Writer and Copy Editor at 5WPR who develops and refines content designed to strengthen brand visibility across traditional search and emerging AI answer engines. Her work spans editorial content, Generative Engine Optimization (GEO), SEO, thought leadership, and brand communications across industries.
With a background in marketing, communications, and business strategy, Bianca brings both an editorial and strategic perspective to content. She focuses on translating complex topics into clear, authoritative stories that reflect how people search for information, how AI platforms surface answers, and how brands can earn visibility within both.
