As AI-Overview CTRs plummet from 7.3% to 1.6% (Ahrefs, Dec 2025), LLMScout helps ensure your site remains visible. This cross-platform, MIT-licensed CLI runs 21 checks to verify if 7 major AI bots can find, parse, and cite your content. It is ultra-lightweight, has no runtime dependencies in Python and just two in TypeScript (cheerio, commander). Use "Fleet mode" to audit entire client rosters in one command. It is 100% free with no accounts or paid tiers.
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Position-1 CTR on AI-Overview-triggering keywords fell from 7.3% to 1.6% between December 2023 and December 2025 (Ahrefs). The shift to Generative Engine Optimization (GEO) is here, and we built LLMScout to help you check exactly where your site stands against that shift in about 30 seconds.
The most-starred alternatives in this space (claude-seo, geo-seo-claude) both require Python 3.10+ and Playwright. This introduces heavy bloat and a recurring history of Windows install failures (e.g., claude-seo issues #137, #138, #139; geo-seo-claude issues #69, #21, #3).
We decided to bypass the heavy browser binaries and shell subprocesses entirely. LLMScout ships two independent, feature-equivalent distributions that prioritize speed and universal compatibility:
- Python CLI: Pure standard library with no runtime dependencies.
- TypeScript CLI: Just two lightweight runtime dependencies (cheerio, commander).
Because LLMScout doesn't download a browser or shell out to a subprocess, a fresh install on Windows works exactly as flawlessly as it does on macOS and Linux.
It runs 21 comprehensive checks to tell you whether AI systems can find, parse, and cite your site, tracking all 7 major AI bots separately.
Repo:
https://github.com/RudrenduPaul/...
MCP:
https://mcpservers.org/servers/r...https://glama.ai/mcp/servers/Rud...
We would love to hear your thoughts and feedback. Which of the 21 checks surprised you most when you ran it against your own site?