Get your product discovered and used inside ChatGPT, Claude, Gemini, and Codex
Claude
CodexTrack, analyze, and improve whether your ChatGPT App or Claude Connector gets discovered, ranked, and used in the right conversations.
Demo: a user asks an AI assistant for help. The assistant searches apps for the job, considers several brands, picks one, renders its widget, and completes the task the user chooses. Switch the demo industry with the buttons below it.
Trusted by world-leading companies
Your products and services can now be found at the exact moment of intent.
Customers now ask ChatGPT, Claude, and Gemini what to buy, book, and use, and to take action on their behalf. The agent can discover a relevant product, choose it, and use it inside the conversation.
Find me a beachfront stay for next weekend.
I found six beachfront stays for next weekend. Here are the three best options for your beach trip.
If agents can’t discover you, you’re invisible.
Building an AI app is only the start. If you don’t optimize it for discovery, agents won’t retrieve or choose it—they’ll choose a competitor instead.
No discovery. No selection. No value.
+3Discovery decides which app gets used.
Build the app. Win the intent.Become the product agents choose.
Four connected Agent Discoverability product capabilities
- 01Agent-ready Integration
Make your product callable by agents.
Give agents a clear, useful Integration so customers can discover and use your product in ChatGPT, Claude, Gemini, and beyond.
Discuss your IntegrationLiveAgent-ready
Tripline Integration
Search staysBuild itinerarySave tripAvailable wherever customers ask
ChatGPT
Claude
GeminiWebsiteAgent-ready IntegrationTripline
Capabilities
Search stays
Build itinerary
Save trip
Preview
Tripline
Search stays
Meet your customers where they spend their time
- 02Intent Design
Design the Intents you want to win.
We identify the questions, needs, and actions that matter to your customers, then turn them into measurable Intents and Prompts your app is designed to win.
Design your target Intents12 PromptsTarget Intent
Plan a weekend beach trip
Weekend travelerHigh valueFind a quiet beachfront hotel for two next weekend, with a pool and restaurants nearby.
Plan a three-night beach break under £250 a night, somewhere easy to reach from the airport.
Where should we stay for a relaxed weekend by the sea with late checkout and great reviews?
Build and measure this Intent - 03Discoverability Tracking
Know when agents choose you.
We test your target Prompts across the platforms that matter, showing where you rank, how often agents select you, which Prompts you are winning, and where competitors are being chosen instead.
Measure your performanceChatGPTPrompt run
Find me a beachfront stay for next weekend
#1Booking.com
Hotels, homes and more
#2Tripline
Selected for this Prompt
#3
Expedia
Travel and stays
Selection rate
38%+8% - 04Discovery Optimization
Climb the rankings for your target Intents.
Our optimization algorithm learns from real discovery, ranking, and selection data to recommend the app, metadata, and Intent changes most likely to help agents choose you more often.
Improve your rankingHigh impactRecommended change
search_stays
Rewrite this tool description so agents know exactly when to invoke it.
Before
Search available stays.
After
Find and book beachfront stays for short trips.
Matches 9 more target PromptsTarget Intent
Beach trips
Selection lift
+18%
Expected rank
#4 → #2
Our system constantly improves how agents discover your app.
We measure where you appear, diagnose what holds you back, make targeted improvements, and prove what increases selection and usage.
How the AI Discovery Loop works
Run your brand through real agent prompts across every major assistant.
Get your Discoverability Score
Measure how often agents discover and select your product, where competitors rank ahead, and what could help you close the gap.
- Measure your visibility
- Rank against your competitors
- Prioritize your next improvement
Example result
What your score reveals
Expedia
Claude Connector
Discoverability Score
Discoverable
Discoverability grade
#4 of 9 in Hotel Search & Booking
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Built on real prompts.Powered by proprietary discovery evidence.
Every result traceable
to the prompt, platform, model, and response
+91,000
Runs captured and archived
Every change measurable
against the same discovery baseline
Quotes from our customers
“Thank you to the team for guiding us successfully through the OpenAI ecosystem and its internal mechanisms for integrating, distributing and promoting 3rd party apps. This was instrumental for tailoring our data offering to the opportunities and prerequisites in a massively growing ecosystem.”
Ingo SchellhammerCTO, Statista
Guides and frameworks
Short reads on getting discovered, selected, and invoked by agents.
Get ahead of the competition
See where you rank, who appears above you, and what to improve to appear above your competitors in organic connector discovery.
FAQ
Get answers to the most common questions about agent discovery optimization.
What is Agent Discovery Optimisation?
ADO is the discipline of making your product discoverable, understandable, selectable, and invokable by AI agents when users ask for help.
Which platforms have organic app discovery now?
The immediate surfaces to watch are ChatGPT Apps and Claude Connectors. We track where agents surface Apps or Connectors naturally in conversation, where they appear in selectable lists, and which competitors are shown instead.
What changes as Claude opens up connectors?
As Claude makes MCP-backed connectors easier to add and discover, teams need more than an integration. They need metadata, docs, trust signals, and tool descriptions that help Claude know when to choose them.
Can we use this before our app is fully listed?
Yes. The most useful early signal is often what agents misunderstand or cannot find yet, so you can fix docs, metadata, integrations, and marketplace copy before launch.
What are private connector registries?
They are host-controlled directories inside LLM products where apps or connectors can be made available to users, teams, or workspaces. They are not public web search indexes; discovery depends on platform-specific names, descriptions, permissions, tools, and MCP metadata.
Are these just MCP servers?
Not exactly. MCP is the standard that lets tools and context connect to AI systems. A ChatGPT App or Claude Connector is the product surface inside the host platform that lets an agent discover, select, and use those capabilities.
How do you measure rank and recommendations?
We run prompt sets, capture the agent response, record whether your connector appears, where it ranks, whether it reaches top-1 or top-3, and which competitors appear above you.
Do you show the evidence behind each score?
Yes. Each metric links back to the prompt, platform, model, response, captured run, and reasoning used to classify the result.