About

We make the agent tool-selection decision visible.

Product and mission

AgentDiscoverability.com is a product of Ghost Team LLC. We help operators understand whether AI agents find, shortlist, and rank their callable Integrations for customer Intents that those Integrations can genuinely fulfil. Our mission is to give teams observable evidence for a decision that often happens before a product receives a connection, tool call, or analytics event.

We call this practice Agent Tool Optimisation (ATO). The public tracker maps Integrations, Brands, tools, and Categories. The Discovery Platform measures repeated Found, Picked, and Positioned outcomes. AI App Studio helps teams design and build agent-ready Integrations when they do not yet have a callable surface.

Method and evidence boundaries

Our method starts with a defined Intent, Prompt set, Platform, Category, context, and time window. We establish a repeated-run baseline, identify the stage where an Integration loses visibility or fit, improve the relevant agent-facing surface, and rerun comparable Prompts. A single favourable Run is not proof. Sustained movement under matched conditions is stronger evidence.

Registry presence proves that a public record exists. It does not prove discovery, selection, connection, invocation, or task completion. Scores describe observed behaviour for their stated measurement conditions; they are not universal grades or guarantees. We do not claim access to a host's private ranking algorithm. Read the benchmark methodology and the published case study before drawing conclusions.