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Check llms.txt, llms-full.txt, AI bot access in robots.txt, and AI meta tags on any website. Built by amivisible.co. llms.txt Checker is a one-click tool for SEO, GEO, and content teams to audit any website's LLM and AI search visibility signals. Built by the team at amivisible.co. WHAT IT CHECKS Click the toolbar icon on any site, and the extension runs four checks in parallel: 1. /llms.txt The proposed community standard for guiding Large Language Models. Reports status, file size, content type, last-modified date, content preview, and quality metrics (H1, H2, H3, links, word count). 2. /llms-full.txt The expanded full-content version. Same depth of analysis as llms.txt. 3. /robots.txt AI bot access Parses the site's robots.txt and reports Allowed, Blocked, Partial, or Default status for 10 known AI crawlers: 4. AI meta tags Scans the page head for AI opt-out signals like noai, noimageai, and bot-specific meta tags. Plus a one-click link to view each file, copy its URL, and instant content previews. WHO IT IS FOR * SEO and GEO specialists auditing client sites * Content marketers benchmarking competitors' LLM readiness * Developers verifying their own llms.txt and robots.txt deployment * Agencies building AI search visibility into their service mix * Anyone tracking how the AI search era is reshaping discoverability WHY IT MATTERS llms.txt is to LLMs what robots.txt is to search engines and sitemap.xml is to crawlers: a clean, machine-readable signal that helps language models discover and accurately represent your site. Robots.txt now also controls whether AI crawlers can train on or cite your content. Page-level meta tags add a third layer of control. This extension surfaces all three in one place, so you can see at a glance how any site is positioned for ChatGPT, Claude, Perplexity, Google AI Overviews, and beyond. PRIVACY FIRST * No tracking, no analytics, no data collection * Works entirely in your browser * Only requests publicly available files from the current site
May 27, 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.