Agentic Commerce Customer Data: Inside Retail's New Checkout War

Retailers just declared war on the AI agents they spent the last two years courting. Walmart, Ulta Beauty and Wayfair are rewriting product pages so ChatGPT and Gemini recommend them by name, yet all three are refusing to let those same platforms own the checkout button. Agentic commerce customer data has become the new battleground, and the fight is no longer theoretical.

As shoppers increasingly turn to ChatGPT and Google's Gemini for product recommendations, retailers are racing to appear in chatbot results while resisting efforts to cede customer data that underpin online sales. The money at stake is real. Juniper Research told Reuters shoppers are expected to spend $8 billion this year after AI agents such as Anthropic's Claude and Gemini direct them to retail sites.

Matt Britton has spent his career tracking the moment consumer behavior shifts faster than corporate strategy can keep up. As founder of Suzy and a leading AI keynote speaker, Britton has watched agentic commerce move from a slide-deck prediction to a boardroom crisis in under eighteen months. What Walmart, Ulta and Wayfair are doing right now, he argues, is the clearest signal yet that the checkout, not the chatbot, is where the real power struggle lives.

The numbers explain why executives are moving so fast. Adobe Analytics said 41% of U.S. consumers used generative AI for online shopping in June, and visitors referred by AI services generated 41% higher revenue per visit than shoppers arriving through traditional channels. That kind of performance gap does not stay ignored in a Fortune 500 quarterly review. But performance in discovery is not the same as ownership in the transaction, and that distinction is exactly what this new war is about.

This post breaks down what agentic commerce customer data actually means, why Walmart, Ulta and Wayfair chose optimization over surrender, and what Fortune 500 leaders need to do before the next earnings call. Britton's take, informed by years of advising brands through Suzy's consumer intelligence platform, is that the companies who win this decade will be the ones who treat AI agents as a traffic channel to manage, not a partner to trust with the customer relationship.

What Is Agentic Commerce and Why Retailers Are Racing to Optimize for It

Agentic commerce describes a shopping experience where an AI system, not a search engine or a human browsing a website, handles product discovery and often initiates the purchase on a customer's behalf. Instead of typing keywords into a search bar, a shopper now describes a need in conversation and waits for a recommendation. A shopper no longer types "running shoes" and scrolls. She describes her arches, her mileage, and her budget, then waits for a recommendation.

That shift changes everything about how retailers get discovered. Unlike search engines that rank pages based on keywords and links, chatbots respond to detailed questions, prompting retailers to rethink how they describe products online and how customers find brands. Product feeds, structured data, and detailed specifications now matter more than traditional SEO tactics ever did.

The growth curve backs up why retailers cannot afford to sit this one out. AI-referred traffic to U.S. retail sites has expanded dramatically, and platforms are moving well past simple product lookups into full-funnel research and comparison. Britton frequently tells audiences at Speaker HQ events that this is not a niche behavior confined to early adopters. It is becoming the default path to purchase for an entire generation of digitally native shoppers, a trend he documents extensively in his book Generation AI.

Ulta Beauty offers the clearest example of aggressive optimization without surrender. The retailer announced in April that its assortment would become shoppable through AI Mode in Search and the Gemini app, while Ulta AI launched on Ulta.com. Ulta said its assistant draws on insights from more than 46 million members to provide personalised shopping guidance. That is a retailer using its own first-party loyalty data to compete with the very platforms sending it traffic.

ChatGPT Gemini Product Discovery: Why Optimization Is Now Non-Negotiable

The scale of AI-driven product discovery has moved past experimental territory. Adobe's tracking shows the trajectory clearly. Adobe Digital Insights found that AI-driven traffic to US retail websites increased 138% year over year in May 2026. AI-referred shoppers generated 53% more revenue per visit and converted at a 54% higher rate than traffic from non-AI sources during the month.

Ulta's own reporting makes the business case impossible to ignore. Ulta says it is seeing "double the conversion and intent" from shoppers who find its products through Gemini and ChatGPT. Josh Friedman, the retailer's head of digital and e-commerce, frames the tradeoff bluntly. "We always want to be wherever our guest is," Ulta Beauty's head of digital and e-commerce, Josh Friedman, said. "Whether it's Google search, affiliate marketing (or) Facebook, there's always a tax for engaging customers on other people's platforms. I don't think this is any different."

Wayfair and Walmart are running the same playbook with different levels of intensity. Growing online traffic from AI platforms has pushed retailers including Walmart, Ulta Beauty and Wayfair to update their websites so their products rank highly in chatbot searches. Google has organized much of this activity through a formal coalition. Google's Universal Commerce Protocol (UCP) launched at NRF on January 12, 2026, with partners Etsy, Shopify, Target, Wayfair, Walmart, and Gap.

What separates the leaders from the laggards is not whether they show up in chatbot answers. It is whether they show up with product data complete enough to win the recommendation in the first place. Britton points out on The Speed of Culture podcast that thin product descriptions and missing specifications now function like a broken storefront window. If an AI agent cannot confidently describe a product, it simply skips to a competitor that can.

First-Party Data AI Checkout: The Real Fight Behind the Optimization Push

Here is the part of the story most coverage misses. Retailers are not resisting AI because they distrust the traffic. They are resisting because handing over checkout means handing over the data that fuels every future marketing decision they make.

Many want purchases to remain on their own websites, where they can collect data on browsing habits, basket sizes and past purchases that help drive future sales and customer loyalty. That data trains recommendation engines, informs inventory planning, and powers the loyalty programs retailers have spent decades building. Give it away, and a retailer becomes a fulfillment warehouse for someone else's assistant.

Vince Koh, global head of digital commerce at Amazon Web Services, put the stakes in the clearest terms available. "When a shopper completes a purchase on a brand's own site … the retailer maintains a direct relationship with that customer," said Vince Koh, global head of digital commerce at Amazon Web Services. Executives argue that a retailer knows its customers far better than any general-purpose assistant does. That knowledge is the asset worth protecting.

AWS is now actively coaching its retail clients toward this exact posture. AWS encourages retail clients, including Tapestry's Kate Spade, to market through AI platforms while keeping their own websites the best place to actually buy. That is the emerging enterprise consensus: let the AI agent be the storefront window, but never the cash register.

Ulta's approach shows how this can work in practice without fully closing the door on AI platforms. Ulta is trying to have it both ways, working with Google to plug its shopping cart and Ulta Beauty Rewards program into Gemini's AI shopping experience without simply handing checkout to the platform. The company is working with Google to incorporate shopping carts and its Ulta Beauty Rewards loyalty program into AI-powered shopping within Gemini. But Friedman said the retailer would prefer customers complete transactions on Ulta's website.

This is the model Britton expects to spread across Fortune 500 retail, finance, and hospitality alike. Data control is not just a retail issue. Britton has advised financial institutions on similar dynamics through his work on AI in financial services, where customer trust and data ownership carry regulatory weight that retail is only beginning to confront.

Retail AI Traffic Conversion: Why the Checkout Experiment Already Failed Once

The most important data point in this entire story is a retreat, not a launch. OpenAI tried full in-chat checkout and pulled back within months. OpenAI's March 2026 decision to terminate Instant Checkout marked a significant retreat, reinforcing retailers' control over the final purchase.

Walmart's own numbers explain exactly why that experiment failed. In-chat purchases simply did not convert. Independent tracking of Walmart's performance found a stark gap between AI-native checkout and redirect-based purchasing, prompting the retailer to change strategy entirely rather than cede the transaction to a third-party interface.

Etsy's experience tells the same story from a different angle. That posture reads a lot more reasonable now that OpenAI has ended its Instant Checkout feature, and Etsy's Chief Product and Technology Officer Rafe Colburn is telling reporters users typically return to Etsy's site to finish purchases initiated through ChatGPT. Shoppers, it turns out, still want the comfort of a familiar checkout flow, even when an AI agent handled the research.

That behavioral reality is reshaping how the biggest platforms compete for retail partnerships. Rather than one winner-take-all interface, the market is fragmenting into competing protocols:

• OpenAI's Agentic Commerce Protocol (ACP) now favors merchant-controlled checkout over in-chat transactions after the Instant Checkout retreat.
• Google's Universal Commerce Protocol (UCP) launched with a broad retail coalition including Walmart, Target, and Wayfair, positioning Google as connective infrastructure rather than a checkout owner.
• Amazon's Rufus assistant takes the opposite approach, keeping the entire journey, including payment and data, inside Amazon's closed ecosystem.
• Retailer-built assistants, like Walmart's Sparky, now plug directly into ChatGPT and Gemini so the retailer retains its own brand presence inside the AI conversation.

For Fortune 500 leaders, this fragmentation is not a headache to wait out. It is the actual shape of the market for the next several years, and it demands a protocol-by-protocol strategy rather than a single bet.

Building an Agentic Commerce Data Strategy for Fortune 500 Retail

The retailers moving fastest right now are not the ones with the flashiest AI pilots. They are the ones treating product data infrastructure as a board-level priority, on par with pricing or supply chain investment. Incomplete product data does not just look sloppy. It gets skipped entirely by AI agents evaluating options at scale.

Britton's core advice to Fortune 500 clients mirrors what Ulta, Walmart, and Wayfair are already doing in practice. Optimize aggressively for AI visibility because that traffic converts better than almost any channel available today. Simultaneously, build checkout, loyalty, and data capture systems strong enough that customers want to finish the purchase on the brand's own turf rather than inside a generic assistant.

This is precisely the kind of forward-looking strategy Britton unpacks for corporate audiences through his AI keynote presentations, where he translates fast-moving platform shifts into concrete data governance and customer experience roadmaps. The retailers who wait for the market to settle before acting will find the settling has already happened without them.

Key Takeaways for Business Leaders

• Optimize product data immediately for AI agent discoverability, since incomplete or thin product descriptions get skipped by chatbots evaluating options at scale.
• Protect the checkout experience as the primary defense of first-party customer data, following the model Walmart, Ulta, and Wayfair have all adopted.
• Diversify across protocols rather than betting on a single AI platform, since ChatGPT's ACP, Google's UCP, and Amazon's closed ecosystem each demand different integration strategies.
• Invest in loyalty and rewards infrastructure that can plug into AI shopping experiences without fully surrendering the transaction, as Ulta has done with its Rewards program inside Gemini.
• Treat data governance as a board-level issue, not a marketing afterthought, given that customer relationship ownership now determines long-term competitive advantage.

Frequently Asked Questions About Agentic Commerce and Customer Data

What is agentic commerce customer data and why does it matter?

Agentic commerce customer data refers to the browsing, basket, and purchase history collected when a customer completes a transaction on a retailer's own site rather than inside an AI platform. It matters because this data fuels loyalty programs, personalization, and future sales, and retailers lose it entirely when a transaction completes on a third-party assistant instead of their own checkout.

Why are Walmart, Ulta, and Wayfair optimizing for ChatGPT and Gemini but blocking checkout?

These retailers want the traffic and conversion benefits of appearing in AI-generated product recommendations without giving up ownership of the customer relationship. Walmart, Ulta and Wayfair are rewriting sites to rank in chatbot answers while pushing to keep the transaction, and the customer data, on their own sites.

Does AI-referred shopping traffic actually convert better than traditional traffic?

Yes. Multiple studies confirm the gap. Adobe Analytics said 41% of U.S. consumers used generative AI for online shopping in June, and visitors referred by AI services generated 41% higher revenue per visit than shoppers arriving through traditional channels. Later 2026 data showed the gap widening even further as AI shopping adoption accelerated.

Why did OpenAI shut down Instant Checkout in ChatGPT?

OpenAI ended in-chat purchasing after retailers and merchants saw weak conversion performance compared to redirecting shoppers back to their own websites. OpenAI's March 2026 decision to terminate Instant Checkout marked a significant retreat, reinforcing retailers' control over the final purchase. The move confirmed that shoppers still prefer completing transactions in familiar, merchant-controlled checkout environments.

The checkout war is not slowing down, and neither is the shift in how customers discover products. Matt Britton has built his reputation on spotting exactly these inflection points before they hit the mainstream press cycle, and agentic commerce is shaping up to be the defining consumer trend of this decade. Retailers that treat AI agents as a traffic source to manage, rather than a partner to trust with their customer data, will control the next era of retail relationships.

Fortune 500 leaders who want a clear, data-backed roadmap for navigating this shift should bring Matt Britton's insight directly to their next executive offsite or industry conference. Visit Speaker HQ to book Matt Britton for a keynote built specifically around agentic commerce, first-party data strategy, and the future of AI-driven retail. The retailers moving first will define the customer relationships of the next decade, and the window to act is measured in quarters, not years.