About

How AppDiscoverability works

Understand how the platform works, what it was built to help teams see, and why this market intelligence exists.

What this market intelligence is built for

AppDiscoverability.com is designed to answer the questions builders, operators, and enterprise teams actually have when they look at this ecosystem: what exists, what is growing, where the competition is thickest, what data is solid enough to trust, and what to do next.

The platform combines Ghost Team.ai's operating experience building and shipping ChatGPT apps with AppDiscoverability.com's market-wide tracking layer. The result is a product designed not just to list apps, but to make discoverability legible.

Meet the Team

MCP Connect talk in Paris

On February 5, 2026, Elliot Garreffa, co-founder of Ghost Team.ai and AppDiscoverability.com, was invited by Alpic to speak at MCP Connect in Paris about AI app discoverability and why it is becoming one of the defining competitive layers in the ecosystem.

The talk gives a concise overview of the shift from the fragmented web to an intent-based web, the difference between static and organic discovery, what OpenAI's early promotion tests signaled, and the practical framework teams can use now across metadata, prompts, engagement, app-store positioning, and iteration.

Speak to the AppDiscoverability.com team

If you want to talk through app-store visibility, missing data, category coverage, or how AppDiscoverability.com can support your team, you can book directly below.

Book directly with Elliot using the live Calendly scheduler above.

What people usually want to know

What does this platform track?

AppDiscoverability tracks the ChatGPT App Store and Claude Connector ecosystem side by side. That includes catalog coverage, market growth, store-by-store launches, cross-platform mapping, ChatGPT ranking data, and current tool inventories where that data exists.

What counts as a ChatGPT app?

A ChatGPT app is a listing that appears in the ChatGPT App Store with a live profile, metadata, and where available a current tool schema. Those listings power the score, leaderboard, methodology, and tool intelligence sections.

What counts as a Claude connector?

A Claude connector is a connector listed in Claude's connector store. Today we track connector metadata, declared skills, and cross-platform mappings, but we do not yet present the same ranking and visibility metrics that we show for ChatGPT apps.

What does cross-platform mean here?

Cross-platform means the same product appears in both the ChatGPT App Store and the Claude Connector Store. We use mapping logic across names, links, developer signals, and connector relationships to connect those records.

Which geographies are targeted?

Current tracked ChatGPT ranking and market coverage includes BR, Canada, France, United Kingdom, Japan, United States. Claude coverage is currently centered on connector catalog visibility and mapping rather than geography-by-geography ranking depth.

How is the data collected and refreshed?

The live product combines store snapshots, metadata captures, current tool inventories, ranking inputs, and connector records. Core catalog coverage is refreshed on a daily cadence, while the live pages roll forward as new tracked rows land in the pipeline.

Why are some metrics ChatGPT-only?

ChatGPT has the deepest current ranking, category, and tool-depth coverage in the dataset. Rather than imply false precision on Claude, the product only shows competitiveness and visibility scoring where the underlying signal is strong enough.

Why do some counts differ between pages?

Some pages show unified cross-platform directory counts, while others intentionally focus on one store. For example, the directory is cross-platform, New Apps is split by store, and the score pages are ChatGPT-only.