Ranking first but invisible to ChatGPT

What it does

GEO Optimizer is a Python CLI that crawls your site and grades it against 47 research-backed signals for Generative Engine Optimization. It outputs a 0–100 score across eight categories—robots.txt bot permissions, llms.txt depth, JSON-LD schema richness, content citability, brand entity coherence, and more—then flags what is missing. The tool also tracks historical regressions, monitors AI crawler access in server logs, and can auto-generate missing files like llms.txt or structured data.

The interesting bit

The project treats AI citations as a first-class systems problem rather than guesswork. It even includes a separate Citability Score derived from academic research that weights factors like quotation density and statistical fluency, plus platform-specific readiness scores for ChatGPT, Perplexity, and Google AI.

Key highlights

• Runs fully offline as a local CLI with JSON, SARIF, JUnit, and HTML output for CI pipelines.
• Ships an MCP server so Claude, Cursor, and Windsurf can audit sites conversationally.
• Detects anti-citation signals like CTA overload, prompt injection attempts, and CDN-level bot blocking.
• Offers a free web audit at geoready.dev; the open-source CLI remains MIT-licensed while a paid platform adds monitoring and team features.

Caveats

• The AI Crawler Activity and Agent Access Audit features report bot reachability and log evidence, not actual citation tracking inside live AI answers.
• Several advanced features (monitoring, score history, regression alerts) are listed as planned for the GeoReady Pro platform and not yet publicly available.

Verdict

Worth a look if you run content-heavy sites or developer docs that depend on AI referral traffic. Skip it if you expect guaranteed citations in ChatGPT—this measures structural readiness, not editorial favor.