The short answer: The generic AI LinkedIn post ('I was today years old when...') gets scrolled past. What works: a specific story or take with a real number, written in first person, one idea per post, and edited with the same humanizing pass we use on everything. The AI's job is the raw draft; your job is the specific detail that makes it credible.
Why AI LinkedIn posts flop
Feed the average prompt and you get the same post everyone else publishes: a vague lesson, a fake-sounding anecdote, and 'What would you add?' The tells are rhythm and emptiness โ no specifics. That's the same failure we see in AI writing generally: generic is instantly recognizable.
The prompt pattern that works
Instead of 'write me a LinkedIn post about X,' use structure that forces specifics:
- Feed it your real detail. 'Here's a story about [specific event]. Turn it into a LinkedIn post.' The detail is the asset โ never let AI invent it.
- One idea only. 'Make exactly one point. Every sentence must serve it.'
- First person, no hype. 'Write as me, plain-spoken, no emoji spam, no 'game-changing' language.'
- Ask for the weak spot. 'Tell me what a skeptic would challenge here.'
That last ask is the highest-leverage line we found โ it forces the draft to acknowledge nuance, which is what reads human.
The edit pass for LinkedIn specifically
Take the draft and do a tight version of our 20-minute pass:
- Cut the hook to one real line. A specific claim beats 'I was today years old.'
- Add one number. Time, %, result โ a concrete figure is the single strongest credibility signal.
- Delete every line you've read on LinkedIn before. 'Sharing this because...' etc.
- End with a real question you'd actually want answered, not 'What would you add?'
How long should it be?
In our testing, the 100-150 word post (5-8 lines on mobile) outperformed both the one-liner and the wall of text. Enough room for a story beat, short enough to read in a scroll. AI will default to 3-4 paragraphs โ cut it to this size and watch the reading time rise. Our LinkedIn tools guide covers which tool handles the draft best.
Bottom line
AI writes your raw draft; you supply the specific detail and the edit. Feed it a real story, force one point, add a real number, and cut every generic line. Done right, nobody reads your post as AI โ they read it as someone who actually did the thing.
Frequently Asked Questions
Does LinkedIn penalize AI-generated posts?
No hard penalty, but generic AI posts get low engagement โ and engagement is the ranking signal that matters on LinkedIn.
What's the best prompt for AI LinkedIn posts?
Feed the AI a real story and ask for one point, first person, no hype, plus a skeptic's challenge. The specific detail is what makes it work.
How long should a LinkedIn post be?
About 100-150 words โ long enough for a story beat, short enough to read in a scroll. AI drafts are usually too long; cut them down.
Can I post AI content on LinkedIn every day?
Yes, with real specifics and a heavy edit pass. Consistency plus one concrete detail per post beats occasional polished essays.