An app developer shared their strategy for getting an application approved and integrated into ChatGPT. The key to their success was designing the app to be AI-discoverable from the outset, rather than retrofitting it later. This involved exposing data via an MCP server for direct agent calls and including structured data like JSON-LD and an llms.txt file to facilitate reading and citation by AI assistants. AI
IMPACT Provides insights into optimizing applications for AI discoverability and integration within platforms like ChatGPT.
RANK_REASON A user-level product integration and strategy sharing, not a core AI release or significant industry event.
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