ChatGPT apps are about to be the next big distribution channel: Here’s how to build one

This case study explores how ChatGPT apps represent a significant new distribution channel opportunity for product managers, comparable to the App Store launch in 2008 or early SEO adoption. The key challenge addressed is that traditional app discovery requires users to find, install, and then use applications, creating friction in the user journey. ChatGPT apps solve this by enabling contextual surfacing - automatically suggesting relevant apps based on conversation context without requiring explicit search or installation.

The strategic approach involves building interactive widgets that appear directly within ChatGPT conversations using the Model Context Protocol (MCP). Unlike traditional apps, these widgets allow users to complete transactions and workflows without leaving the chat interface. The system works through three components: the ChatGPT conversation interface, backend APIs that define available "tools" or functions, and user-facing widgets built with web technologies. Major companies including Adobe, DoorDash, Canva, Figma, and Expedia have already partnered with OpenAI, demonstrating enterprise-level validation of this distribution channel.

Key takeaways for product managers include recognizing this as a rare distribution opportunity with low barriers to entry but enormous reach potential. The contextual discovery model represents a fundamental shift from traditional app store mechanics, requiring PMs to think about tool descriptions as a new form of SEO. Early movers have the advantage of capturing user habits before the channel becomes saturated, making this particularly valuable for both enterprises seeking additional distribution and startups needing cost-effective user acquisition.