In a recent LinkedIn post, Neil Patel delves into the surprising financial struggles of ChatGPT, despite its immense popularity. The marketing expert questions why OpenAI, the company behind ChatGPT, is reportedly losing billions annually even with hundreds of millions of weekly users. Patel posits that the core issue lies in the fundamental difference between seeking a single answer and the complex process of online shopping.
The ‘Exploration’ Problem in AI Chatbots
Patel highlights that while AI like ChatGPT can provide efficient recommendations, it fundamentally bypasses the crucial ‘exploration’ phase that drives online sales. He draws a parallel with major online advertisers such as Booking, Expedia, and Amazon, emphasizing that their success hinges on users having the freedom to compare, scroll, and evaluate multiple options.
“Ask ChatGPT for the best hotel in Tokyo, and it can give you a smart recommendation. But it doesn’t recreate shopping. It compresses the journey into an answer, when the money is made in the exploration.”
According to Patel, this compression of the buyer’s journey is where AI chatbots fall short. The very nature of online commerce for many products and services involves a decision-making process that requires comparison and detailed review, something a direct answer from a chatbot cannot replicate effectively.
E-commerce Conversion Rates and the Need for User Journey
Neil Patel further supports his argument by referencing an experiment by Walmart. The retail giant reportedly tested checkout functionality directly within ChatGPT. The results, as noted by Patel, showed significantly lower conversion rates compared to directing users back to Walmart’s own website.
“Even Walmart tested checkout inside ChatGPT, and the early results reportedly converted three times lower than sending people back to Walmart’s own site. The experience was not fast, relevant, or complete enough.”
This data, Patel argues, underscores that the user experience during the critical decision-making moments is paramount. He suggests that the AI’s inability to fully replicate the detailed, option-rich environment of a dedicated e-commerce site leads to a less effective conversion funnel.
The Core Lesson: Meeting Customers Where They Buy
The central takeaway from Patel’s analysis is the critical importance of understanding and facilitating the customer’s buying journey. He asserts that businesses must be present and effective in the digital spaces where their customers engage in the necessary search, comparison, and decision-making processes.
“If your customers need to search, compare, scroll, look at options, and make a confident decision, you have to show up in the places where that actually happens.”
Neil Patel concludes that true value in digital marketing isn’t solely about capturing attention. Instead, he emphasizes the strategic imperative of being visible and accessible at the precise moment a customer is ready and equipped to make a purchase. This requires a presence on platforms that support, rather than compress, the user’s exploration and decision-making journey. As Patel puts it,
“Because the real money is not just getting attention. It is being in the right place when someone is ready to buy.”
His insights suggest that while AI offers powerful tools for information delivery, the complex, often iterative, nature of high-value online transactions still relies heavily on platforms designed for comparison and exploration.
📝 About This Content
This article is based on insights shared by Neil Patel on LinkedIn.
📅 Originally posted on July 23, 2026 | View original post on LinkedIn →