AI Discovery
The directory is built so a product can be understood by people first, while also making its public information easier for automated systems to retrieve.
Consistent product profiles
Listings can include use cases, audiences, platforms, pricing, alternatives, ratings, updates and deals alongside an editorial summary. Keeping those details in predictable fields makes the directory easier to browse and gives automated tools clearer context.
Public data access
The main read-only JSON feed is available at /wp-json/ttd/v1/tools, with additional public feeds for updates, deals and builders. The site also publishes /llms.txt and a read-only MCP endpoint at /mcp for compatible clients.
What we can actually measure
Discovery Signals records observable requests from recognised AI crawlers and agents. A read tells us that public tool data was fetched; it does not tell us that an assistant recommended or cited the product in someone’s private conversation.
No guaranteed recommendations
Search engines and AI assistants decide independently which public sources they crawl, cite or use. The Tool Directory can make a product easier to understand and access, but no listing can guarantee inclusion in an AI answer.