# Agent Discoverability

> A curated guide to AgentDiscoverability.com, its public evidence, and the routes an agent should use.

AgentDiscoverability.com measures and improves whether AI agents find, shortlist, and rank a product's callable Integrations for customer Intents that the product can genuinely fulfil. Agent Tool Optimisation (ATO) focuses on the tool-selection decision before a connection or tool call reaches the product.

## When to use AgentDiscoverability.com

Use this site to inspect public Integration and Brand records, compare eligible Integrations in a Category, understand Found, Picked, and Positioned measurements, review published methodology, or ask Ghost Team to measure, improve, or build an agent-ready Integration.

## When not to use AgentDiscoverability.com

Do not use this site as a general answer engine, a substitute for a product's own documentation, or an API for acting on third-party products. AgentDiscoverability.com does not expose a public action API or callable Integration. References to callable capabilities describe third-party Integrations in the public tracker or services delivered by AI App Studio.

## Start here

- [Agent routing and evidence guide](https://agentdisco.ai/agents.md): Interpret site evidence, limits, routes, and human handoff.
- [Public Integration ecosystem tracker](https://agentdisco.ai/track): Browse published Integrations, Brands, tools, and Categories.
- [Discoverability Score](https://agentdisco.ai/score): Check a Brand's current public score state.
- [Companies discoverable in ChatGPT](https://agentdisco.ai/score/chatgpt): Search every company ChatGPT has organically suggested, with scores where available.
- [AI App Studio](https://agentdisco.ai/ai-app-studio): Explore the build path for teams without a callable Integration.
- [Research](https://agentdisco.ai/research): Read public ATO research and field guides.

## Evidence and methodology

- [Benchmark methodology](https://agentdisco.ai/track/methodology): Review the public measurement definitions and constraints.
- [DirectBooker case study and measurement evidence](https://agentdisco.ai/case-studies/directbooker): Inspect a published Measure, Diagnose, Improve, and Verify example.
- [monday.com case study: Claude discoverability and Connector signups](https://agentdisco.ai/case-studies/monday-com-claude-connector): See picker appearance rise from 24.6% to 84.2% alongside Connector visits and signups.
- [About AgentDiscoverability.com and its evidence boundaries](https://agentdisco.ai/about): Understand the mission, company identity, and claims the evidence does not support.
- [Contact Ghost Team](https://agentdisco.ai/contact): Route demo, sales, legal, privacy, and public-site support enquiries.

## Complete indexes

- [Complete public URL and entity index](https://agentdisco.ai/llms-full.txt): Enumerate public marketing, blog, tracker, and entity URLs.
- [Crawlable URL inventory](https://agentdisco.ai/sitemap.xml): Use the canonical machine-readable crawl inventory.