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✦ Free & open sourceMarketing

geo-score

Check if AI engines can reach, parse, and cite your site with an open rubric and API tracking.

Audit your AI visibility and citation readiness

Score your site from 0-100 against an open GEO rubric and track citations via LLM APIs.

Free forever · open source · MIT
✓ Light setup✓ Browser-based✓ Real-time collaboration
6.6
ZEKAI
Essential for AI-era content audits
Free & open source · Marketing
Ease of setup3
Usefulness9
Maintenance9.5
Community5
★ 486
GITHUB
Sep 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

geo-score evaluates whether generative AI engines like ChatGPT and Perplexity can read and quote your content. It suits content creators, SEO professionals, and marketers looking to optimize for answer engines rather than traditional rankings.

Runs on
Cross-platform
Hosting
Desktop
Languages
Python
License
MIT

What it is

The tool runs a 21-tiered check across five pillars—reachable, understandable, content citability, brand credibility, and answer fit—producing a 0-100 score. It also supports optional API tracking via OpenAI, Perplexity, Gemini, and Claude to monitor actual citations over time.

Who it's for

It suits technical marketers, site owners, and developers diagnosing why AI engines ignore their pages. It does not suit teams wanting a fully automated, hands-off hosted SaaS dashboard without touching the command line.

Key features

Open 0-100 Rubric

Scores site readiness across 21 tiered checks without a black-box algorithm.

Zero Dependencies CLI

Runs instantly via Python or a single curl command without heavy installations.

API Citation Tracking

Checks if your site is actually cited using your own OpenAI, Perplexity, Gemini, or Claude keys.

MCP Server Support

Integrates with Claude Code and other Model Context Protocol environments.

How to start

Up and running in 3 steps

1
Run the one-line curl command or clone the repository to your local machine
2
Execute geo_score.py against your domain to generate your free 0-100 readiness score
3
Add your LLM API keys to run citation queries and set up weekly watches
Real talk

Our honest verdict

What's great

  • Evaluates passage-level citability instead of just classic domain authority
  • Identifies mechanical blocks like missing robots.txt rules or JavaScript-only rendering
  • Completely free to run locally with zero software dependencies
  • Published versioned rubric ensures transparent and repeatable scoring

Where it falls short

  • Requires using the command line and Python 3.8+
  • API citation tracking requires your own paid LLM keys
  • Some checks like third-party listings require manual judgement
Cost

Pricing & license

Free under its license, with the only cost being your own API usage if you choose to run live citation checks through OpenAI, Perplexity, Gemini, or Anthropic.

Paid work

Open remote AI-training roles

874 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

How is GEO different from traditional SEO?

Classic SEO focuses on ranking positions in search engine results pages, while Generative Engine Optimization focuses on whether AI engines retrieve passages and choose to quote your site.

Do I need an API key to get a score?

No, Level 1 scoring requires no keys, no installation, and runs instantly against public URLs.

What do the gate checks do?

The tool includes three gate checks for crawler access, live reachability, and server-rendered content; failing these caps your total score at 40.

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