100%Up from 31.5%
Agent-led growth
Become the product
AI agents choose.
Turn your MCP into a growth channel for your product. Track your visibility and monitor competitors. Review and approve MCP changes that improve how agents find and choose your product.
Track how agents recommend your product in
ChatGPT
Claude
Muse
Grok
Gemini
Copilot
Will agents recommend your product?
Claude suggests a connectorMCP Discoverability Score
How often do agents surface your product for relevant requests?
Example scoreExpediaClaude Connector
Free to check. No account required.
Customer stories
Delivering results for world-leading companies.
“Thank you to the team for guiding us successfully through the OpenAI ecosystem…”
Ingo SchellhammerCTO
#2Up from #5
Hotel Search & Booking on Claude
“Working together we’ve gained insights into how this new frontier values, ranks, and ultimately recommends tools.”
Sanjay Vakil, PhD.CEO and Cofounder
The platform
Find the gaps. Improve your product.
Measure the results.
Our agents monitor your product’s discovery and prepare MCP improvements for your team to review.
See when agents organically surface your connector or plugin versus your competitors.
Illustrative data
DirectBookerHotel bookingChatGPT Discoverability Score
62/ 100Competitive
#1 of 5 · picked in plugin recommendations- Recommendations
- 200
- Picked
- 124 / 200
- Avg. position
- 1.5
Organic discovery
Last 28 daysRecommendation trend
DirectBooker
Booking.com
Expedia
trivago
TripadvisorPicked ÷ plugin recommendations × 100. Each point is a rolling sample.
Your competitive set
Latest sampleStandings
| Brand | Score | Position |
|---|---|---|
| 1DirectBookerYou | 62 / 100 | 1.5 |
| 2Booking.com | 53 / 100 | 1.4 |
| 3Expedia | 28 / 100 | 1.2 |
| 4trivago | 26 / 100 | 2.4 |
| 5Tripadvisor | 7 / 100 | 3.1 |
One recommendation can include multiple brands. Position is average shortlist rank; lower is better.
Organic recommendations
Know when your product is recommended organically.
See which customer requests lead ChatGPT and Claude to suggest your connector or plugin, and where competitors are recommended instead.
Claude
Example conversationCustomer
Find a hotel near SFO with a free airport shuttle.
I can help you find a hotel. Connect a booking service to explore your options.
Connectors that could help
DirectBookerFind and book hotels
ChatGPT
Example conversationCustomer
Create a short video for my product launch.
ChatGPT needs to use a plugin.
HiggsfieldEvery image and video model
Not nowInstall
Agent discovery
Your product’s AI visibility, in one place.
Track mentions of your product and MCP recommendations across ChatGPT and Claude for the prompts you care about. See whose ads appear alongside the response in ChatGPT.
ChatGPTExample conversation
Set up shared tracking with owners, statuses and reminders when things stall.
1Brand mention
I found a good fit: monday.com can provide the shared board with owners, statuses, due dates, and team-updated fields.
2MCP recommendation
ChatGPT needs to use a plugin
monday.comManage projects, tasks & CRM
Not nowInstall
3Sponsored ad
ClickUpAdManage tasks, owners and team workflows in one place.
Agent Discoverability · VisibilityYour dashboard
ChatGPTThis response| Signal | Brand | Result |
|---|---|---|
1Brand mention | monday.com | Mentioned |
2MCP recommendation | monday.com | Recommended |
3Sponsored ad | ClickUp · ChatGPT only | Displayed |
Cross-platform testing
Test your product where agents actually work.
Compare how ChatGPT, Claude, Muse, Grok, Gemini and Copilot respond to the same prompt. See how each platform finds and recommends your product.
One shared promptSame prompts.
Different agents.
Different results.
Different agents.
Different results.
ChatGPT
Claude- Muse
- Grok
- Gemini
Copilot
Persona-based discovery
See how different personas discover your product.
Run general discovery tests or create personas with memory. Compare when each persona finds your product or a competitor.
Same category. Different context.Personas with memory
Business traveller
Memory contextDirect ratesloyaltyflexibility
Find a hotel near my meetings.
Group organiser
Memory contextSeveral roomsbudgetavailability
Where can I book rooms for our team?
Compare general discovery with persona context.
Competitor intelligence
See when competitors appear instead of your product.
Compare your product with competitors across prompts and personas. Follow changes to their MCP descriptions and tools.
Example tracking
- monday.com
- Actively Tracking
HubSpot 
Asana
Competitor updateNew
HubSpot added a tool
Compare the description and capabilities.
Email
Slack
SlackContent and documentation
Help agents understand and recommend your product.
Create guides and clearer docs around your customers’ questions. Help agents understand your product and when to recommend it.
01
Connector guide
Explain what your connector does
02
Use-case content
Show when your product is relevant
03
Documentation update
Clarify capabilities and connection steps
- Draft
- Review
- Publish
- Measure
Opportunities and improvements
Keep improving your product’s MCP.
Our agents draft improvements to your connector listing, tool names and descriptions. Review each change, approve what ships and measure the results.
Example drafts
- Long description update
- Tool name alignment
- Tool ordering
Short description updateDraft ready
Make project and task management explicit
Update the connector description with the project, task and status language agents use in relevant requests.
Suggested description
Manage projects, track tasks and share status updates.
- Finding
- Project & task language
- Review focus
- Existing capabilities
From discovery to improvement
How it works
Customer intentsCompetitors
Your MCPPersonas + memoryMCP logs
Connect and set your priorities
Connect your product’s MCP and choose the customer needs and competitors to track.
Missed recommendationCompetitor chosenMissing capability
Find discovery gaps
See when agents overlook your product or choose a competitor.
Discovery AgentCompetitor AgentMCP Improvement Agent
03 / IMPROVEOur agents prepare improvements
Our agents investigate missed recommendations and draft improvements to your product’s MCP.
Draft readyClarify when to use this tool
Update the tool description to match relevant customer requests.
Related discovery findingsReview draftReview Release Retest
Review drafted improvements
Review each change, approve what ships and see how your product’s discovery results change.
↶ Every result feeds the next improvement.Sign up
Work with us
Build and grow your product with us.
Bring your product to
ChatGPT and Claude.
We build AI apps and MCP integrations that bring your product to ChatGPT and Claude.
Explore AI App StudioTurn your product’s MCP into a growth channel.
Our team monitors your product’s discovery and builds MCP improvements alongside your engineers. You approve what ships; we measure the results.
Book a callEcosystem tracker
See where your product stands.
Find your product and competitors across ChatGPT Plugins and Claude Connectors. Explore categories and available discovery benchmarks.
Explore the tracker
FAQs
Questions about
agent discoverability
Everything you need to know before you get started.
Talk to the teamWhat does Agent Discoverability do?
Agent Discoverability monitors how ChatGPT and Claude discover your product through its MCP. Our agents identify missed opportunities, prepare improvements for your team to review and track discovery results after release.
Which platforms can I track?
Run discovery tests in ChatGPT, Claude and Cowork, plus the Claude Code and Codex coding harnesses. Compare how each finds, recommends or uses your product.
Can I see which ads appear in ChatGPT?
Yes. See whose ads appear for your tracked prompts, alongside organic answers and connector suggestions. Ad tracking is available for ChatGPT only.
Can I test general discovery and personas with memory?
Yes. Run general discovery tests or create personas with memory reflecting your target customers' preferences and background. Compare the results to see how your product is discovered in different customer contexts.
What can it improve in my product’s MCP?
MCP descriptions, tool descriptions and parameter guidance, plus new MCP tools that expose capabilities your product already supports. Each proposed change comes with supporting evidence and discovery tests to check its effect.
What do your agents do?
The Discovery Agent tracks recommendations for your product and agent behaviour across general discovery and personas with memory. The Competitor Agent compares results and follows competitor MCP changes. The MCP Improvement Agent turns findings into proposed changes to your product’s MCP for review.
Does it publish changes automatically?
Changes go through your team's review and release workflow. You control what is approved and shipped, with discovery checks used to assess the proposed change and follow its results.
Do I need to move my product’s MCP to a different host?
Your product’s MCP stays with your existing host. Connect the integration and confirm the customer intents and prompts you want your product to be discovered for.
What kinds of prompts should I track?
Start with questions and tasks where your product is a relevant choice. These might include choosing a CRM, syncing contacts or finding a hotel. Group related prompts by customer intent to understand which needs you cover well.
What's the difference between a mention and a tool recommendation?
A mention is your product’s brand appearing in the agent's written answer during a tracked discovery test. A tool recommendation is your product’s MCP integration appearing as an option for the user. These are separate observations within MCP discovery monitoring.
How are the results measured?
We run tracked prompts and capture the resulting responses and recommendations. Each result is scoped to its prompts, platform, general or persona-based test context and measurement period, with supporting evidence available to inspect.
What does the Discoverability Score mean?
The Discoverability Score measures how often your integration makes the shortlist in eligible test conversations, with direct invocations also counted. It's specific to the platform and prompts being measured. See the methodology for the full definition. Read the methodology ↗
Can I compare my product with competitors?
Yes. Compare recommendations across prompts and personas, and explore category benchmarks to see who appears alongside your product or ahead of it. Follow changes to competitors' MCP descriptions and tool lists in the same view.
What's the difference between the public tracker and the platform?
The public tracker lets you explore listed integrations and available category benchmarks. The platform connects discovery monitoring for your product’s MCP to prioritised opportunities, proposed improvements and follow-up measurement.
Can your team help us build or improve our product’s MCP?
Yes. AI App Studio helps you design, build and launch AI apps and MCP integrations for your product. Managed MCP Growth provides an embedded team to prioritise opportunities, build improvements alongside your engineers and measure the results.
Your next growth channel
Keep improving how
agents find your product.
See where agents miss your product. Review MCP improvements and track what changes after release.