AI Shopping Traffic Raises Retail Customer Data Concerns

Retailers have spent years fighting to appear at the top of search results; now they have another gatekeeper to win over as shoppers increasingly ask AI assistants what to buy.

The shift is forcing retailers to rethink how their products are discovered online, as AI systems increasingly interpret shopping requests, compare products, and recommend purchases.

According to Reuters, many retail companies are responding by optimizing their websites and product information so AI systems can more easily understand and surface their products.

But visibility inside an AI response is only half the battle. Retailers also want shoppers to return from AI recommendations to their own sites. These retailers argue that keeping the transaction in-house gives them greater control over the purchase experience and the customer information generated by it.

E-commerce retailers also argue that they already have what it takes to handle the sales process efficiently. In a statement cited by Reuters, The Knot’s CEO, Raina Moskowitz, said they “have three decades of data” that can be used to deliver the best experience to customers.

That creates a new challenge for e-commerce: retailers must make their products easy for AI systems to discover and recommend without letting those systems become permanent middle layers between the brand and its customers.

Even Amazon Web Services (AWS) has backed that idea up, advising retail companies to ensure their platforms are the best place to buy while still leveraging AI tools for brand discovery and referrals.

AI companies that have tried to handle the entire chain end-to-end have hit customer adoption hurdles. A prominent example was OpenAI’s Instant Checkout. In March, the company discontinued the feature after five months of unsuccessful adoption, saying March, the company discontinued the feature after five months of unsuccessful adoption.
AI shopping is gaining traction
The numbers are making it harder to dismiss AI shopping as trivial.

According to Reuters, Juniper Research expects AI agents to drive $8 billion in transaction value in 2026, while Adobe Analytics found that 41% of US consumers used generative AI for online shopping in June.

The conversion data points in the same direction. Adobe also found that shoppers from AI referrals generated 41% higher revenue per visit, underscoring the high intent these shoppers bring while giving retailers a clear financial reason to compete for AI-driven discovery.
Not just an e-commerce story
What is happening in retail is part of a much bigger change: AI is fundamentally reshaping the path between a person’s question and the website that wants their attention.

ChatGPT has already become a serious alternative to traditional search for discovery, while Google is rebuilding Search around AI rather than simply defending the old list of links.

That shift changes the value of traffic itself. Reddit, for example, is increasingly important to AI search because its discussions are frequently surfaced as sources, even as the platform worries that AI-generated answers may satisfy users without sending them through to the original site.

Beyond retailers, many brands are increasingly adding AI search optimization to their dominant SEO playbook, trying to make their brands, products, and content visible inside AI-generated answers as well as traditional search results.

The winners may not always be the biggest brands, but the ones that can consistently get in front of customers wherever they choose to search — while keeping enough of their moat intact to turn that visibility into a lasting advantage.
Also read: Meta’s new Facebook Marketplace Seller app uses AI to create listings while keeping inventory, buyer messages, and performance data connected to Marketplace.