Evaluates LinkedIn feed posts for likelihood of being AI-generated using heuristic analysis.
Users
8
+1 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#216K
#181K among extensions
Version
1.0.0
updated 8 Feb 2026
Users
monthly, 8 months
Latest, 20 Oct 2026:8 usersMove the mouse over the chart for any month
Ratings count
monthly, 8 months
Latest, 20 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About LinkedIn AI Post Detector
A Chrome extension that analyzes LinkedIn feed posts and scores them for likelihood of being AI-generated using heuristic pattern matching.
What It Does
As you scroll your LinkedIn feed, the extension automatically analyzes each post and adds a small colored badge showing an AI probability score (0–100%). Click any badge to see a detailed breakdown of which signals were detected.
| Score | Color | Meaning |
|-------|--------|------------------------|
| 70–100 | 🔴 Red | Very likely AI-generated |
| 50–69 | 🟠 Orange | Likely AI-generated |
| 30–49 | 🟡 Yellow | Possibly AI-assisted |
| 15–29 | 🟢 Light green | Mild AI signals |
| 0–14 | 🟢 Green | Likely human-written |
Detection Signals
The extension checks for:
AI Phrases — Overused LLM phrases like "in today's rapidly evolving", "let's unpack", "delve into", "paradigm shift", etc.
Structural Patterns — Numbered lists, emoji-heavy formatting, hook→list→CTA formulas, one-sentence-per-line "bro-poem" style
Sentence Uniformity — AI text tends to have suspiciously uniform sentence lengths
Hedging & Filler — Excessive qualifiers like "it is worth noting", "broadly speaking"
Engagement Bait — "Agree?", "Thoughts?", "Tag someone who...", "Repost if..."
Repetitive Starters — AI often begins multiple sentences with the same phrase
Limitations
This is a heuristic tool, not a machine learning classifier. It looks for stylistic patterns commonly associated with LLM-generated text. That means:
- Some human writers who use corporate buzzwords will score high
- Well-edited AI text that avoids common patterns will score low
- It's best treated as a "sniff test," not a verdict