Large brands like Target are using ChatGPT apps as high-intent lead generators rather than for full-funnel transactions. The app helps users build a shopping cart within the chat interface and then hands them off to the main website to complete the purchase. This reduces integration complexity while capturing high-value users.

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The traditional marketing funnel of discovery, consideration, and conversion is being condensed. AI engines handle all three stages within a single conversational interface, moving the customer journey into a "black box" away from brand-owned websites.

Consumer search behavior is shifting from browsers to AI assistants. E-commerce brands must adapt by treating agents like ChatGPT as new traffic sources. This requires making product data discoverable via APIs to enable seamless research and purchasing directly within conversational AI platforms.

Ridge, an e-commerce wallet company, reveals that traffic originating from ChatGPT generates $12 per user session, a staggering 12 times higher than the $1 per user from Meta. This demonstrates the exceptionally high purchase intent of consumers who use AI for product research.

Users originating from an AI source like ChatGPT convert at a 26% higher rate. While the traffic volume is lower than traditional SEO, the intent is much higher because users have already refined their needs through conversation. This makes integrating with AI platforms a highly effective user acquisition channel.

Search Atlas data reveals users arriving from ChatGPT are significantly more likely to convert. These users have already conducted deep, conversational research within the LLM, answering many of their own questions before landing on a website. This pre-qualification means they arrive with much higher purchase intent compared to traditional search users.

Unlike search, where users click to research, AI platforms create a "dark funnel" where the entire research process occurs pre-click. By the time a user clicks through to a brand's site, they have already completed their evaluation and are ready to transact, resulting in higher-quality leads.

Traffic from ChatGPT to e-commerce sites converts at an exceptionally high rate (12% for one brand, compared to a typical 1-2%). This demonstrates that users turning to AI for product research have extremely high purchase intent by the time they click a link, making AI chat a powerful and potentially lucrative channel for advertisers.

The end state for enterprise AI is a unified, conversational agent serving as the primary interface for a brand. This "digital concierge" will handle sales, support, and other interactions, potentially replacing websites and mobile apps as the main customer touchpoint.

OpenAI's partnership with Stripe to enable in-app purchases transforms ChatGPT from an information tool into a transactional platform. This creates a frictionless sales channel for e-commerce brands, directly challenging Google's established search-to-purchase business model.

A user arriving from ChatGPT has likely already used the AI to research, compare options, and make a decision. This pre-qualification process means the traffic is extremely high-intent, leading to conversion rates (12% for one brand) that are an order of magnitude higher than typical benchmarks.

Enterprises Use ChatGPT Apps to Build Shopping Carts, Then Handoff for Checkout | RiffOn