1 item
Analyzes LinkedIn feed posts for likelihood of being AI-generated using heuristic pattern matching. Free, private, runs locally. Spot AI-generated content in your LinkedIn feed at a glance. LinkedIn AI Post Detector automatically scans posts as you scroll and adds a small color-coded badge showing how likely each post is to be AI-generated. Click any badge to see a detailed breakdown of the signals detected. HOW IT WORKS The detector uses heuristic pattern matching to analyze post text for common AI writing signals: • Overused AI phrases ("dive into", "landscape", "leverage", "it's worth noting") • Formulaic sentence structures and templated openings • Excessive hedge phrases and filler language • Engagement bait patterns ("Agree?", "Thoughts?", "Share if you…") • Unnatural sentence length uniformity • Bullet-point and list-heavy formatting Each signal contributes to a weighted score from 0 (likely human) to 100 (likely AI). Scores are displayed as color-coded badges directly in your feed. FEATURES • Inline feed badges — no copy-pasting required • Detailed signal breakdown with matched phrases • Popup analyzer — paste any text to check it manually • Works as you scroll — new posts are scanned automatically • Keyboard accessible PRIVACY This extension runs entirely on your device. No data is collected, stored, or sent anywhere. Zero network requests. Zero tracking. Your browsing stays private. DISCLAIMER This is a heuristic tool, not a definitive AI detector. It identifies common patterns associated with AI-generated text but cannot guarantee accuracy. Use it as a rough guide, not a final judgment.
Mar 3, 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.