For most of retail’s digital era, the front door to your store was wherever shoppers started looking: Google search, social feeds, display ads. You optimized for those channels, shoppers found you, and the journey continued on your terms.
That front door has moved. Instead of typing keywords into a search bar, today’s shoppers are turning to LLM-powered AI assistants that research options, compare products, and steer buying decisions on their behalf. In Q1 2026, AI-referred traffic to U.S. retail sites rose 393% year-over-year, and those referrals converted at a 42% higher rate than other traffic sources, TechCrunch reports. When someone asks ChatGPT to find the best waterproof jacket under $200, that AI is your new first impression. Retailers who dismiss product visibility on AI assistants as a future problem are already behind.
The catch is that visibility on LLMs alone won’t save the sale. Show up in an AI assistant’s results without a compelling brand experience behind it, and you might win the click but lose the customer, reduced to just another option on a list. The real opportunity lies in building for two audiences at once: the AI agents that surface your products, and the humans who decide whether to buy.
Getting found: The new discovery opportunity
AI assistants like ChatGPT, Gemini, and Claude are rapidly becoming the starting point for product discovery. “This isn’t a trend on the horizon — it’s happening now,” says Kartavya Jain, Director of Product Marketing at Adobe Commerce. “Shoppers are already leaning on AI for buying decisions today. Brands that move quickly to adapt and earn visibility, relevance, and trust with these AI-driven experiences will be the ones that shape consumer preference in the era of agentic commerce.”
The pace of adoption is hard to overstate. By 2030, AI agents are projected to mediate $3 to $5 trillion in global consumer commerce, McKinsey reports. And shoppers aren’t just turning to AI; they’re acting on what it tells them. According to Adobe, 64% of consumers using AI for online shopping report being satisfied with the links AI assistants provide, and more than 55% say they click on those links.
The invisibility risk is real, and it’s rooted in a problem most retailers don’t realize they have. Product pages built for human eyes and SEO often fail AI crawlers entirely.
“When an AI assistant crawls your storefront, it often doesn’t capture all the product details that may be hidden behind product page accordions or popovers,” Jain explains. “For example, if an AI agent reads only ‘dark roast, caramel flavor’ on a coffee brand’s storefront, it has little context to match against a shopper’s request. Now imagine a shopper searching for a sustainably sourced Colombian dark roast with a rich caramel flavor that is ideal for pour-over brewing. If the AI didn’t capture those details from your storefront, your product simply won’t be recommended.”
The fix requires optimizing your product catalog content and making product detail pages AI-ready, giving AI crawlers the full picture to surface and recommend your products.
Winning the visit: The brand experience retailers can’t neglect
Showing up in AI-driven search results is critical, but so is the experience shoppers have when they land on your storefront.
AI-referred shoppers arrive differently than someone who clicked a display ad or scrolled past a promoted post. “Before AI, shoppers came to your storefront to research and discover at the same time,” Jain explains. “Today, most of them have already done their research. By the time they land on your storefront, they’re informed and ready to buy. That’s why the experience they find when they arrive is critical.”
While shoppers report that AI helps improve their shopping experience, they also expect brand interactions to be engaging, seamless, and intuitive.
Retailers that optimize purely for visibility on AI surfaces risk squandering it. “Optimize only for AI and you might gain visibility but risk becoming a commodity,” Jain says. “Without a compelling shopper experience on your storefront, there’s no relationship, no loyalty, no repeat purchase.”
Delivering on a compelling shopper experience means also investing in what happens after the click: lightning-fast storefronts, personalized and contextual product recommendations, and guided, conversational commerce experiences built to turn discovery into purchase.
Commerce platforms like Adobe Commerce and conversational shopping interfaces like Adobe’s Brand Concierge are designed to guide a shopper from product discovery through personalized recommendation and purchase without compromising the experience today’s shoppers seek. “That full experience, without friction, is what builds the kind of loyalty that keeps customers coming back,” Jain adds.
What retailers should be thinking about now
Agentic commerce is, at its core, a fundamental shift in how consumers discover and evaluate products. The AI agents driving it have emerged as an inescapable new shopping channel that sits alongside search, social, and marketplaces, and plays by its own rules. Getting ready for it doesn’t have to happen all at once.
“You can do this incrementally,” Jain advises. “Start by improving your visibility on LLMs and driving traffic to your storefront.” Tools like Adobe’s AI Visibility Checker are a useful first move. “The tool scores storefront readiness and pinpoints where to focus, so retail teams know how ‘invisible’ their website is to AI, where they stand in their AI readiness journey,” Jain adds.
Three questions are also helpful in clarifying your next best move:
- Is your product content structured in a way that AI agents can read and surface?
- When an AI-referred shopper lands on your digital storefront, do they get the personalized, guided, and seamless buying experience they expect?
- Is your commerce foundation ready to support both discoverability on LLMs and engaging storefront experiences on your timeline and at your pace?
The answers will look different for every retailer, but the decision to start building shouldn’t wait. “With the right foundation, brands can adapt faster as AI-driven shopping evolves, while those that wait risk losing visibility, relevance, and consumer engagement as behaviors shift,” Jain says.
Every major shift in retail has come down to the same question: who adapted, and who waited too long. In the age of agentic commerce, the data suggests the clock is already running.
▷ Go from being discovered to being chosen. Explore what’s possible with Adobe Commerce.
