Retailers are racing to make sure their products show up when shoppers ask ChatGPT or Google's Gemini for buying advice. But while they're happy to let AI steer customers their way, they're drawing a firm line at the checkout: they want the sale—and the customer data—to stay on their own websites.
Companies like Walmart, Ulta Beauty, and Wayfair are among those tuning their product pages to be more visible in AI-generated shopping answers. The goal is to capture the growing wave of consumers who start their shopping with a chatbot instead of a search engine or a retailer's app.
Why AI chatbots are becoming shopping's new front door
The shift is happening fast. Adobe Analytics reports that 41% of US consumers used generative AI for shopping in June. Juniper Research projects that shoppers will spend $8 billion this year after being sent to retail sites by AI agents. And Adobe found that visitors referred by AI tools generated 41% higher revenue per visit than visitors from more traditional channels like standard web search or social media.
That combination—more shoppers, and more valuable ones—explains why retailers are investing in making their product pages chatbot-friendly. That can mean clearer product descriptions, structured data that AI models can easily parse, and ensuring that when a chatbot recommends a product, it links directly to the retailer's site.
But there's a tension at the heart of this strategy. If a chatbot can answer a shopper's questions and even complete a purchase without the shopper ever visiting the retailer's site, the retailer loses control. That's why most brands are keeping checkout and customer data on their own domains.
Keeping checkout and data close
For retailers, customer data is a valuable asset. It powers personalized marketing, loyalty programs, and repeat sales. If AI chatbots become the intermediary, retailers risk losing direct access to that relationship. So while they're happy to be recommended by a chatbot, they want the final transaction—and the data it generates—to happen on their own turf.
This is a delicate balancing act. Retailers need to be visible in AI answers to capture demand, but they don't want to hand over the keys to their customer relationships. The approach so far: optimize for discovery, but keep the transaction and data in-house.
This strategy mirrors broader trends in retail, where companies are increasingly focused on protecting margins and customer loyalty. For example, Instacart's recent outlook raise shows how deal-hunting shoppers are still spending, but they're looking for value. Similarly, Elf Beauty's sales jump highlights how budget-conscious consumers are driving growth for brands that adapt.
What it means for investors
For investors, this trend signals that AI is becoming a critical channel for retail sales. Companies that successfully adapt their online presence to AI-driven shopping could see a competitive advantage. Those that ignore it risk losing visibility to rivals that show up in chatbot answers.
But there are also risks. If AI chatbots become the primary way people shop, retailers could become more dependent on the platforms that control those chatbots—like Google and OpenAI. That could shift bargaining power and potentially lead to higher costs for retailers down the line.
Investors should watch how retailers balance this new channel with their existing direct-to-consumer efforts. The companies that manage to harness AI traffic while preserving their own data advantages may be better positioned for long-term growth.
This is part of a larger story about how AI is reshaping the digital economy. From leadership changes at Google's AI unit to massive investments in AI infrastructure, the technology is becoming central to how businesses operate. Retail is just one of the first sectors to feel the impact.
For now, the message from retailers is clear: they want AI to bring them customers, not replace them. The battle over who owns the customer relationship is just beginning.
