Become the default tool forcoding agents & LLMs
GEO 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 You are marked as outdated/unmaintained in Google search index.”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.”
AI discoverability engine.
Everything you need to secure your recommendation share inside modern AI tools.
Prompt Probing
Continuous simulation of developer questions in Cursor, Claude Code, and ChatGPT Search.
Ecosystem Mapping
Crawl registries, packages, and registry directories to track where AI discovers your brand.
Auto PR Engine
Receive automated documentation and llms.txt pull requests to optimize registry indexing.
Where search clicks end, AI recommendations begin.
Developers write queries directly in Claude Code or Cursor. If your documentation or MCP endpoints aren't optimized, you do not exist in the output buffer.
From data to visibility growth.
Company Data
Codebase, docs, registries
AI Analysis
Multi-model prompt simulation
Visibility Mapping
Recommendation graph construction
Gap Detection
Missing connections identified
Recommendations
Prioritized optimization plan
Pull Request
Auto-generated documentation PRs
Visibility Growth
Increased recommendation share
Simple, transparent pricing.
Starter
See how AI agents recommend your product.
- 75 prompts / month
- Coding Agents included
- Weekly run frequency
- AI Judge scoring
Growth
Understand why competitors win and generate fixes.
- 300 prompts / month
- Bi-weekly run frequency
- Recommendation Replay
- Action Engine (GitHub PRs)
- Slack & Discord workflows
Scale
Continuously improve recommendation share.
- 1,000 prompts / month
- Daily / On-Demand frequency
- Unlimited repos & competitors
- Action Engine autopilot
- 1-on-1 engineer Slack support
Enterprise
Custom models, security, and dedicated support.
- Custom models & limits
- Self-hosted sandboxes
- Continuous Training Loop
- Jira, Linear & GitLab integrations
- SLA-backed support team
Secured via Dodo Payments. Cancel anytime.
Frequently asked questions.
Have other technical inquiries about AI indexing or sandboxed evaluations? Reach out to our team at team@tryorigin.ai.
Just like SEO optimized your website for Google search crawlers, GEO optimizes your codebase, registries, and documentation to be parsed, understood, and recommended by AI assistants (like ChatGPT, Claude Code, Cursor, and Perplexity).
We spin up headless developer sandboxes running Cursor and Claude Code. We simulate developer tasks (e.g. "set up a headless browser proxy") and inspect whether the AI agent recommends your SDK or your competitors', diagnosing the root cause in real-time.
It is a machine-readable documentation index located at your root domain. It summarizes your API features and maps code snippets, making it trivial for LLMs to index your entire tool chain in seconds without consuming token context budgets.
Yes. Our Action Engine constructs documentation optimizations and proposes them as ready-to-review GitHub pull requests. You have complete human-in-the-loop control to review, edit, and approve them before they are proposed.
Start building your AI visibility.
Join companies securing their recommendation share across AI coding agents and search surfaces.