This approach highlights how marketplaces can capture demand earlier in the decision process, especially when shoppers are unsure exactly what they want.
Starbucks has taken a similar approach for menu discovery. Its ChatGPT beta app recommends drinks based on prompts describing mood, taste preferences, or context, such as weather or time of day.
Customers can customize the recommendation and choose a pickup location within ChatGPT, but they still complete the order in the Starbucks app or website. This preserves the company’s existing checkout and loyalty ecosystem while letting discovery happen inside the AI interface.
The model effectively turns conversational prompts—"something sweet and nutty" or "a warm drink for a slow morning"—into personalized menu exploration.
Insurance companies and comparison platforms are among the earliest adopters of ChatGPT apps because insurance shopping already involves answering questions and comparing options.
Several examples illustrate how this process is shifting into conversational workflows:
Industry analysts note that these integrations shift insurance discovery away from forms and comparison tables toward conversational guidance that collects information gradually.
Financial decisions are another area where conversational guidance can replace traditional research workflows.
Mortgage lender Newrez launched the Rezi Mortgage Assistant inside ChatGPT to provide borrowers with plain‑language explanations of mortgage and home‑equity options. The tool draws on the company’s lending requirements and educational content to answer questions and guide potential borrowers through early research.
The goal is to meet consumers where they increasingly start looking for answers—inside conversational AI tools rather than on traditional lender websites.
Across these examples, a consistent pattern is emerging:
• Discovery happens in ChatGPT. Users describe what they want in natural language.
• Guidance and comparison happen in the conversation. Apps surface products, recommendations, or quotes.
• Transactions often happen elsewhere. Checkout, underwriting, or final applications typically move to the company’s own platform.
This model mirrors earlier platform shifts—from search engines to mobile apps—but with a key difference: the interface is conversational rather than navigational.
For businesses, the implication is significant. If consumers begin their research with an AI assistant, brands will compete to become the service that the assistant calls when a user asks for help.
The growth of ChatGPT apps suggests that AI assistants could evolve into a new discovery layer sitting alongside search engines, marketplaces, and comparison sites.
In that environment, the winning services may not be the ones with the most optimized search pages—but the ones whose tools integrate directly into the conversation where decisions start.
Early adopters like Etsy, Starbucks, Experian, Aviva, Go.Compare, Naked, and Newrez are effectively testing what it means to distribute products through AI itself. As conversational assistants become more capable, this channel could become a primary entry point for everyday buying decisions.
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