Google published new performance data this week showing that retailers using its AI-powered advertising tools are seeing measurable gains — in one case, an 80 percent increase in revenue. The figure comes from Aritzia, the Canadian fashion retailer, which reported to Modern Retail that enabling Google's AI Max campaign feature triggered the lift.
That kind of result, if repeatable at scale, is the sort of number that moves retail marketing budgets.
What Google Is Actually Selling
The headline figure comes from AI Max, an automated campaign tool that analyzes a retailer's website, creative assets, and product catalog to match them with conversational search intent across multiple surfaces — AI Mode, traditional search, and YouTube. The pitch is simple: instead of manually building keyword campaigns, you let Google's model figure out when to show your ads in AI-generated search responses.
The company is also testing Direct Offers, a program that lets brands present personalized promotions to shoppers showing high purchase intent inside AI Mode. Early testers include E.l.f. Beauty, Chewy, and L'Oréal, per Modern Retail. A third feature, the Business Agent, lets retailers customize how product questions are answered in their brand voice — already live with Poshmark and Reebok.
All of these products share a common logic: as Google's AI Mode increasingly mediates the path between a shopper's question and a purchase decision, Google is building the toll booth.
Why 15% Matters
Google made a point of citing its own research during the announcement: 15 percent of daily Google searches are entirely new — queries the system has never seen before. That novelty is precisely why AI-native ad matching is more defensible than traditional keyword targeting. You can't bid on a keyword you didn't know existed. But an AI system trained on intent signals can match an ad to a novel query that a human media buyer would have missed entirely.
For retailers with broad catalogs — home goods, apparel, beauty — this is potentially significant. Long-tail discovery has always been expensive to capture manually. If AI Max can surface relevant products to shoppers who are exploring rather than searching for a specific item, that's incremental revenue that wasn't previously accessible through paid search.
What This Changes for Retail Marketing
The broader context is that Google is repositioning itself as an agentic commerce infrastructure, not just a search ad platform. In January, the company unveiled the Universal Commerce Protocol at NRF, an open standard designed to let AI agents handle the full shopping journey from discovery to checkout. Direct Offers and AI Max are the monetization layer on top of that infrastructure.
This changes the competitive dynamic between Google and retail media networks. Amazon's sponsored products and Walmart Connect are built on shopper intent at the moment of transaction. Google is building for intent that happens earlier — during discovery and research — and it's increasingly where AI-generated answers are guiding consumers before they ever visit a retailer's site.
Retail Dive's analysis of AI's role in compressing the shopping journey notes the structural risk: as AI summarizes options and helps shoppers narrow choices before they reach a retailer's owned surfaces, the traditional upper-funnel investment that drove brand building and consideration is being eroded. Google's new tools redirect that spend back through Google rather than freeing it for retailers.
The Trade-Off Worth Naming
The 80 percent lift headline is compelling but incomplete. It doesn't tell us whether Aritzia's AI Max campaigns cannibalized existing organic traffic, inflated spend to capture results that would have occurred anyway, or whether the performance held over time. One-brand case studies commissioned by a platform should always carry an asterisk.
What it does tell us: Google's agentic ad products are mature enough to deliver statistically meaningful outcomes for at least some retail categories. For retail marketers still allocating spend the way they did three years ago, that's a signal worth taking seriously — even if the full picture won't be clear until independent research catches up.
The practical move for most retailers is to run small-scale AI Max tests against existing search campaigns, measure incrementality rigorously, and watch closely whether Direct Offers converts at the rates Google is suggesting. The era of AI-mediated search discovery is not hypothetical. The question is who captures the economics.