OpenAI's ChatGPT app store has 300+ app integrations six months after launch, but developers say adoption is sluggish and the apps offer limited functionality
Six months in, ChatGPT's third-party apps offer limited functionality and have been frustrating for developers.
Context & Ripple Effects
OpenAI’s latest app push followed its October pilot with major consumer services and an Apps SDK built on MCP. Yet the current report suggests that expanding the catalog has not resolved the developer-distribution problem visible in the earlier GPT Store complaints about low usage and missing analytics.
The weak uptake also matters beyond discovery: OpenAI and its partners have reportedly had difficulty standardizing merchant data for in-ChatGPT checkout expansion. Limited app functionality makes it harder to turn integrations into dependable transactional or workflow endpoints.
First-order effects
- Developers with more than 300 ChatGPT integrations face low adoption and product constraints, weakening the near-term return on building for the store.
- OpenAI gains breadth of integrations but has evidence that catalog size alone is not producing a compelling app experience for users or developers.
Second-order effects
- Developers may prioritize integrations with clearer distribution, analytics, or monetization rather than deepen their ChatGPT apps; the earlier GPT Store feedback makes those missing incentives especially salient.
- Sluggish app use reduces the immediate value of embedding commerce and services in ChatGPT, adding friction to efforts to broaden in-chat checkout capabilities.
Third-order effects
- If limited functionality and weak discovery persist, AI assistant app stores may develop more slowly than their launch catalogs imply, with durable participation concentrating around integrations that complete real workflows rather than merely surface content.
- The pattern tests whether ChatGPT can become an assistant operating layer: platform success will depend on reliable developer economics and execution paths, not just an SDK and partner roster.
The trend: This is a data point in the shift from standalone AI chat toward assistants as workflow platforms, where integration depth and distribution determine whether an app ecosystem takes hold.