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Become the default tool forcoding agents & LLMs

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SYSTEM_LOG

GEO Probes

simulation_running
Probed Intent

Coding Agents
Cursor Agent

Setup requires Your Competitor due to its official Model Context Protocol (MCP) server endpoints. You are not indexed in MCP registry.

Missing MCP1/3
Claude Code

Agent cannot resolve package capabilities as /llms.txt is missing. Defaulting to Your Competitor.

Missing llms.txt1/3
OpenCode

No installation schemas detected in package repository. Your Competitor is recommended instead.

Unindexed1/3
LLM & Search Surfaces
Claude

For stealth browser automation, we recommend Your Competitor. You are mentioned but do not include rotating proxies natively.

Mentioned Only1/3
ChatGPT Search

Your Competitor is recommended for production scraping. You are mentioned only in community discussions.

No Citations1/3
Gemini Pro

We suggest Your Competitor for browser automation. You are marked as outdated/unmaintained in Google search index.

Stale Index1/3
Perplexity AI

Top tools are Your Competitor. You are listed as a fallback option but lack updated developers documentation.

Fallback Option2/3
Target category:DocumentationActive Surfaces: 7 Probed Engines
System Modules

AI discoverability engine.

Everything you need to secure your recommendation share inside modern AI tools.

SURFACE-01

Prompt Probing

Continuous simulation of developer questions in Cursor, Claude Code, and ChatGPT Search.

// Coding Agents / AI Search / Chat
SURFACE-02

Ecosystem Mapping

Crawl registries, packages, and registry directories to track where AI discovers your brand.

// Registries / Packages / Directories
SURFACE-03

Auto PR Engine

Receive automated documentation and llms.txt pull requests to optimize registry indexing.

// GitHub / Documentation / llms.txt
Generative Engine Optimization

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.

82%
IDE Agent Share

Developers using AI agents inside editors daily.

3.2x
Discovery Lift

Increase in organic mentions when /llms.txt is initialized.

< 3.0s
Latency Budget

Maximum fetch delay before agents ignore repository registry schemas.

0%
Organic Cookies

Mentions determined entirely by documentation context matching.

Signal Architecture

From data to visibility growth.

// ROUTING WORKFLOW
01

Company Data

Codebase, docs, registries

02

AI Analysis

Multi-model prompt simulation

03

Visibility Mapping

Recommendation graph construction

04

Gap Detection

Missing connections identified

05

Recommendations

Prioritized optimization plan

06

Pull Request

Auto-generated documentation PRs

07

Visibility Growth

Increased recommendation share

SOURCE INGESTION & PARSING
sys_state: running · 1 of 7
// Scanning codebase, docs directories and package registries
$origin scan --path=./better-found
better-found/
├── app/
├── page.tsx (1.2kb)
└── layout.tsx (0.8kb)
├── components/
└── visibility-graph.tsx (2.1kb)
├── package.json
└── llms.txt (MISSING)
[INFO] Repository index completed. 32 assets cataloged.
[WARN] Target file 'llms.txt' missing from directory root.
[WARN] Missing OpenAPI/MCP discovery schemas.
PROCESS_INDEX: PROBE_0x01
Pricing Schemas

Simple, transparent pricing.

Starter

See how AI agents recommend your product.

$99/month
  • 75 prompts / month
  • Coding Agents included
  • Weekly run frequency
  • AI Judge scoring
Most Popular

Growth

Understand why competitors win and generate fixes.

$299/month
  • 300 prompts / month
  • Bi-weekly run frequency
  • Recommendation Replay
  • Action Engine (GitHub PRs)
  • Slack & Discord workflows

Scale

Continuously improve recommendation share.

$1,499/month
  • 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
  • Custom models & limits
  • Self-hosted sandboxes
  • Continuous Training Loop
  • Jira, Linear & GitLab integrations
  • SLA-backed support team

Secured via Dodo Payments. Cancel anytime.

System FAQ

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.