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LLMScout
Check if LLMs can cite your site.
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.
About LLMScout on Product Hunt
“Check if LLMs can cite your site.”
LLMScout was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #64 on the daily leaderboard. 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.
On the analytics side, LLMScout competes within Open Source, SEO, Developer Tools and GitHub — topics that collectively have 665.7k followers on Product Hunt. The dashboard above tracks how LLMScout performed against the three products that launched closest to it on the same day.
Who hunted LLMScout?
LLMScout was hunted by Sourav Nandy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LLMScout including community comment highlights and product details, visit the product overview.
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/LLMScout
MCP Servers:
https://mcpservers.org/servers/rudrendupaul/llmscout
https://glama.ai/mcp/servers/RudrenduPaul/LLMScout
NPM:
https://www.npmjs.com/package/llmscout-cli
PyPI:
https://pypi.org/project/llmscout-cli
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?