Win the AI RecommendationShip the fix, not a report
Measure how coding agents and LLMs recommend your product, then automatically ship fixes to win recommendation share.
OriginGEO Probes
simulation_running“Setup requires Your Competitor due to its official Model Context Protocol (MCP) server endpoints. You are not indexed in MCP registry.”
“Agent cannot resolve package capabilities as /llms.txt is missing. Defaulting to Your Competitor.”
“No installation schemas detected in package repository. Your Competitor is recommended instead.”
“For stealth browser automation, we recommend Your Competitor. You are mentioned but do not include rotating proxies natively.”
“Your Competitor is recommended for production scraping. You are mentioned only in community discussions.”
“We suggest Your Competitor for browser automation. You are marked as outdated/unmaintained in Google search index.”
“Top tools are Your Competitor. You are listed as a fallback option but lack updated developers documentation.”
Track AI recommendations.
Monitor how often coding agents recommend your product and pinpoint exactly where you lose developers.
Developer queries
Analyze the exact prompts developers write when searching for tools like yours in coding assistants.
Competitive gaps
Track where coding models index your competitors and identify exactly why they win recommendations.
Automated fixes
Receive pull requests that optimize your documentation and files to win model recommendations.
Compatible with coding agents and LLMs.
Where developers search now.
Developers find products directly inside AI tools. If your documentation is missing or outdated, models will recommend a competitor instead.
Turn insights into recommendations.
Ingest Codebase
Scan documentation and registries.
Simulate Prompts
Run queries across top coding models.
Track Rankings
Map your recommendation share.
Detect Gaps
Pinpoint exactly why competitors win.
Generate Changes
Create missing documentation and schemas.
Review Pull Requests
Approve documentation fixes automatically.
Grow Recommendations
Increase developer recommendation share.
Scale your recommendations.
Starter
For early-stage products getting started with AI discoverability.
- 75 AI Prompts / month
- 3 Verified Agent Runs / month
- Up to 2 competitors
- 1 workspace
- Weekly monitoring
- Live Prompt Discovery
- AI recommendation monitoring
- Coding agent monitoring
- Visibility dashboard
- Gap discovery
Scale
For developer tools actively improving how AI recommends their product.
- Everything in Starter
- 200 AI Prompts / month
- 10 Verified Agent Runs / month
- Up to 5 competitors
- Up to 3 workspaces
- Daily monitoring
- Continuous Prompt Discovery
- Automated fix generation
- GitHub PR generation
- Slack approvals and alerts
- On-demand replays
- Competitor movement tracking
- Historical visibility trends
- Recommendation lift measurement
- Priority processing
Enterprise
For larger teams with custom AI discovery requirements.
- Everything in Scale
- Custom AI Prompt volume
- Custom Verified Agent Runs
- Custom competitor limits
- Custom workspace limits
- Custom monitoring cadence
- Custom Prompt Discovery
- Custom LLM routing
- Dedicated support
Verified Agent Runs use real coding agents in isolated environments to measure which tools they actually select and use.
Common questions.
Need custom help optimizing your AI recommendations? Contact us at team@tryorigin.ai.
AI tools recommend products by parsing registries and documentation. Origin ensures your company's data is formatted so coding agents recommend you first.
We run automated queries across tools like Cursor and Claude. This measures how often you are recommended and detects why you lost to a competitor.
It is a standard text file that structures your website documentation. This allows LLMs to easily read your capabilities and recommend your tool.
Origin creates automated pull requests with documentation fixes. Your team can review, edit, and merge them directly in GitHub or Slack.
Start winning recommendations.
Generate pull requests today to win recommendations across every AI agent.