The Holiday Shopping AI Recommendation Tracker

AI-referred traffic to U.S. retail sites grew 693.4% year over year during the 2025 holiday season, according to Adobe Analytics. That traffic converted 42% better than every other channel Adobe tracks, a record it hit again in March 2026. Adobe measures more than a trillion visits to U.S. retail sites. This is already the fastest-growing, best-converting channel in retail, and most brands have no idea whether an AI assistant ever names them.

This tracker measures that gap. Starting this holiday season, Everything-PR is tracking that gap in partnership with 5W's AI Visibility Research team. Each week, the team checks which retailers and products ChatGPT, Gemini, Perplexity, and Claude name in response to a gift-recommendation prompt, then publishes what it finds.

Why Is This Suddenly the Fastest-Growing Channel in Retail?

Retail is the fastest-growing AI-referral channel in commerce right now. Its traffic from generative AI sources grew faster last holiday season than travel (+539%), financial services (+266%), or tech and software (+120%), per Adobe Analytics. Growth didn't slow going 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.

The behavior behind those numbers is what should worry retail marketers most. Shoppers who arrive from an AI assistant 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. An AI referral isn't a curious click. It's close to a pre-qualified sale.

So Why Are Most Retail Pages Still Invisible to the Models Sending That Traffic?

Adobe's own AI Content Visibility Checker scores how much of a page's content a large language model can actually read. The average product detail page scores just 66% on that checker. That means roughly a third of the content on the pages retailers most need AI models to recommend is invisible to them. Return policies, contact pages, and FAQs score highest, in the 70s and 80s, mostly because they're text-heavy and simple to parse. Product pages, the pages that actually drive holiday revenue, score lowest.

In other words, the channel converting best is being fed the least by the pages it's supposed to recommend. That mismatch is exactly what this tracker is built to expose.

What Does The Data Say So Far?

The metrics this tracker follows span traffic growth, conversion lift, and machine-readability, all drawn from Adobe's own reporting.

How Will The Holiday Shopping AI Recommendation Tracker Work?

The Holiday Shopping AI Recommendation Tracker runs the same fixed set of gift-shopping prompts every week through the season. The prompts span categories like electronics, beauty, toys, and home goods. Each week the tracker checks which retailers and specific products ChatGPT, Gemini, Perplexity, and Claude name. It also tracks how consistently the same names repeat across all four platforms. And it tracks how much that answer shifts week to week as new coverage, reviews, and pricing enter the mix.

That last part matters most. A retailer that shows up in an AI answer during the first week of November has no guarantee it will still show up during Cyber Week. These models weight how current a source is as heavily as their authority. Running this tracker every week, not just once, is what turns a single snapshot into a weekly data point brands can act on.

What Does This Mean For Retail And Consumer Brands Right Now?

A brand's paid media budget and its AI recommendation rate are now two different battles. Most retail marketing teams are staffed for only one. Closing that gap means fixing the product-page readability Adobe's checker flags, and building the kind of independent, current coverage these models cite over a brand's own product listing. Everything-PR's explainer on generative engine optimization breaks down that mechanism in more detail.

5W's AI Visibility Research team runs a similar check at the individual brand level. It looks at exactly 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?

A retailer that spent this year optimizing only for Google's results page already missed the fastest-growing, best-converting channel in its own traffic report. The Holiday Shopping AI Recommendation Tracker gives retail and consumer brands a narrower, weekly answer instead: does an AI model name this brand when a shopper asks for a gift recommendation in its category, right now? Everything-PR and 5W's AI Visibility Research team will publish that answer every week through the season, before the next holiday, not after it.