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Instantly score how ready any documentation site is for AI agents — graded on the open AFDocs standard, from your toolbar. Can AI agents actually read your docs? AI assistants, LLMs, and autonomous agents increasingly rely on documentation to answer questions and get work done. But most docs sites were built for humans, not machines — and agents quietly struggle with them. Jamdesk AI Score grades any documentation site on how agent-ready it is, in seconds, right from your toolbar. HOW IT WORKS 1. Open any documentation site. 2. Click the Jamdesk AI Score icon. 3. Get an instant 0–100 score and letter grade. 4. Click "Get Details" for the full breakdown — what's working, what's holding the score down, and how to fix it. WHAT IT CHECKS (the open AFDocs standard) • llms.txt — the emerging standard for guiding AI agents • Markdown availability — clean, parseable content • Site structure & navigation — can an agent find its way? • URL stability — predictable, durable links …and more. WHY IT MATTERS Agent-readable docs get cited more often, answer more questions correctly, and turn AI assistants into a discovery channel. A low score means agents are leaving your content on the table. Free. No sign-up required. Works on any public documentation site. PRIVACY The extension only acts when you click. The URL of the page you choose to score is sent to Jamdesk's servers to run the analysis, and is cached briefly (~15 minutes) to speed up repeat checks. We don't track your browsing, read page contents, or run on any site automatically. Privacy policy: https://jamdesk.com/privacy Built by Jamdesk — documentation for the AI era. https://jamdesk.com/ai-score
Jun 18, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.