Why AI Shopping Still Depends on the Experience a Business Controls

In a recent LinkedIn post, Neil Patel discusses what Walmart’s ChatGPT shopping results may reveal about AI-driven discovery and where online sales close. Patel says purchases through ChatGPT converted at a lower rate than referrals to Walmart’s own site, even as the chatbot brought in more new customers than search engines. This article reports on Patel’s post and his analysis; it was not written by Patel.

“Walmart put roughly 200,000 products inside ChatGPT, and those purchases converted at a third of the rate of sending shoppers to Walmart’s site.”

Discovery and conversion may be diverging

Patel’s comparison points to a distinction between introducing shoppers to a business and persuading them to buy. According to Patel, ChatGPT was bringing in new customers at about twice the rate of search engines, while purchases made through the chatbot converted at a much lower rate than those made after shoppers reached Walmart’s site.

“But ChatGPT was also bringing in new customers at about twice the rate of search engines.”

That contrast suggests, in Patel’s analysis, that AI assistants could become a meaningful discovery channel without replacing the retailer’s own storefront as the place where a transaction is completed. The post does not provide additional figures or explain the comparison’s methodology, so its claims are best understood as Patel’s summary of the data he discusses in the accompanying video.

The role of a business’s own website

Patel uses the Walmart example to raise questions for businesses about how their websites fit into customer journeys that begin with AI. He says the video examines “where your website still matters” and what analytics may fail to capture. His central argument is that discovery through an outside platform does not necessarily mean businesses can stop investing in the experience they control.

“The sale usually still closes on an experience you control, whether you sell products, software, or services.”

Patel extends the point beyond retail, naming software and services alongside products. His framing places the website within a broader commercial experience: a potential customer may first encounter a company through an AI-generated answer, but the business still has an opportunity to shape the information, steps and reassurance presented on its own properties.

A practical check on AI visibility

What does an AI assistant say about the business?

Patel points readers toward a “2-minute test” that he says his team at NP Digital uses when a new client comes in. The post does not spell out the test’s steps, but Patel’s stated starting point is to examine how AI describes the business. That recommendation connects visibility with accuracy: companies need to understand what prospective customers may be told before those customers reach a site or speak with a team.

Patel’s post presents AI referrals as both an acquisition opportunity and a measurement challenge. Its takeaway is not that a chatbot alone determines the sale, but that businesses should track how AI contributes to discovery while continuing to refine the customer experience they directly control.