According to AlphaMoat, as of 2026-06, the Chrome extension Pangram AI Detection has 10,000 users (+0% MoM), rated 5 (18 reviews) — ranked #428 of 10,567 AI browser extensions, and #182 of 5,263 in Tools.
Pangram Labs provides accurate detection of AI-written text. Highlight text, right click, and select 'Check for AI Content.'
Pangram Labs provides accurate detection of AI-written text. Highlight text, right click, and select 'Check for AI Content.' Pangram Labs is the most accurate AI detector on the market, as verified by the University of Chicago and the University of Maryland. Check any text for AI on any page, in any document, without switching tabs. 🦊 How to use: 1. Click “Add to Chrome” and pin to the extension bar. 2. Create a Pangram account at https://www.pangram.com/ ✅ What you can check: Social feeds: See AI detection in real time as you scroll labeled as “Human”, “AI-Assisted”, or “AI” across X, LinkedIn, Substack, Reddit, and Medium. Expand any badge to open the feed health in the sidebar for a % breakdown of human vs. AI content across your feed. Any text: Highlight anything on the web and right click to “Check for AI content”. The result appears in the bottom right corner of your screen. Google Docs: Select “Scan for AI” in the top bar to see total edits, pasted blocks, and a live replay of the writing history. 📊 How it works: Pangram's detection model is trained on millions of human-written documents spanning academic papers, short-form text, and stories. Using deep learning, it analyzes millions of AI "tells" to distinguish human writing from AI-generated text, with a 1-in-10,000 false positive rate verified by third-party benchmarks. Have an issue using this plugin? Want to request more features? Want to learn more about the details? Contact us: https://www.pangram.com/contact-us
| Month | Users | MoM |
|---|---|---|
| 2026-03 | 6,000 | — |
| 2026-04 | 9,000 | +50.0% |
| 2026-05 | 10,000 | +11.1% |
| 2026-06 | 10,000 | +0.0% |
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Data month: 2026-06 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.