Free tool, no login
Free AI LinkedIn post checker
Paste a LinkedIn post and see which phrases, structures and rhythms in it are ones AI models over-produce. Every pattern is highlighted with a reason and a simple fix.
A pattern checker, not a statistical AI detector. It runs in your browser and your post is never sent or stored.
0 words
Your post is never sent or stored. Only the anonymous score and the names of the patterns found are saved.
How the AI LinkedIn post checker works
You paste a post of at least 40 words and press Check my post. The checker reads the text in your browser against more than forty rules, each one a phrase or structure that shows up far more often in posts written by language models than in posts people write themselves. It also looks at layout and rhythm: how many dashes you use, whether lists always come in threes, whether every line is its own paragraph, and how much your sentence length varies.
Each match is highlighted in your post and explained in plain words, with a suggestion for rewriting it. The checker also lists what reads human, such as specific numbers, real names and things that actually happened, because those details lower the score.
What patterns it looks for
The rules fall into eight groups. The examples below are typical matches.
| Category | Example | Why it stands out |
|---|---|---|
| Contrast frames | It's not about X, it's about Y. The result? Growth. | Balanced set-ups that sound insightful without saying much |
| Hooks and openers | In today's fast-paced world. Here's the thing. Let's dive in. | Stock first lines that delay the point |
| AI vocabulary | delve, tapestry, game-changer, unlock, ever-evolving | Words models use far more than people do |
| Filler transitions | Moreover. Ultimately. When it comes to. Plays a crucial role. | Essay connectors that rarely appear in real posts |
| Announcement language | I'm thrilled to announce. Big news. | Formula openings for news |
| Engagement bait | Agree? Drop a comment. Follow for more. | Generic closers that ask for a reaction |
| Format tells | Heavy dashes, lists of three, emoji bullets, hashtag blocks | Layout habits common in generated posts |
| Rhythm | No fluff. No filler. Just results. | Runs of fragments, or sentences that all share one length |
How the score is calculated, and its limits
Every rule carries a weight from 1 to 3. Strong tells, such as the contrast frame or "in today's fast-paced world", count for 3. Softer words that people often use on their own, such as "leverage" or "journey", count for 1. Repeats of the same rule count at most twice, so one habit cannot dominate the score. The total is adjusted for length, so a long post is not punished for having more words, and human signals like first-person stories and specific numbers take points off. The result is a score from 0 to 100: under 20 reads human, 20 to 44 has a few AI tells, 45 to 69 sounds a lot like AI, and 70 or above reads as AI-written.
Please read the score as a pattern score. It cannot prove who or what wrote a post. Humans use every one of these patterns, many of them were LinkedIn habits long before models copied them, and a careful writer can use AI without leaving any of them behind. Tools like this one give false positives, and so do the statistical detectors that claim higher accuracy. Never use this score, or any detector's score, to accuse a colleague, a candidate or a student of using AI.
How to make a post sound like you
- 01
Start with what happened.
Open on a moment, a number or a conversation from your week. A specific first line does more than any hook formula.
- 02
Name names.
Mention the client (with permission), the city, the tool, the date. Generated posts stay vague because models have nothing real to draw on.
- 03
Say it out loud.
Read the post as if you were telling one person across a table. Any phrase you would never say in person can usually go.
- 04
Vary your sentences.
Let one sentence run long and a little messy, then follow it with a short one. People write unevenly, and that unevenness reads as a voice.
- 05
End on your point.
Finish on the lesson or the decision, in your own words. If you want comments, ask a question only your readers can answer.
Who this is for
Founders and executives who draft posts with help from AI and want them to sound like themselves before they publish. Ghostwriters and marketing teams who want a quick second read on a draft. Anyone who has read their own post back and thought it sounded like everyone else's.
If your posts are fine but your profile is where people drop off, try our free LinkedIn profile checker. If you would rather have someone write in your voice every week, see our LinkedIn ghostwriting and LinkedIn personal branding services, or start with a free founder profile audit.
Frequently asked questions
Is the AI LinkedIn post checker free?
Yes. It is free, needs no login and has no limit on how many posts you check.
Can it detect ChatGPT?
No tool can reliably prove that ChatGPT or any other model wrote a post. This checker looks for phrasing, structure and rhythm that ChatGPT, Claude, Gemini and similar models produce far more often than people do. A high score means the post sounds like those models, which is a different claim from saying a model wrote it.
Why was my human post flagged?
Because people use these patterns too. Many of them started as human LinkedIn habits that models then learned and repeated. If you write in a polished corporate style, use plenty of dashes or end every post with a question, you will see flags even if every word is yours. Use the flags as editing suggestions, and tell us with the Wrong flag button so we can tune the rules.
Is my post stored?
No. The check runs in your browser and your post is never sent to us. We save only the score, the word count and the names of the patterns that matched, with no name, email or text attached, so we can see which rules misfire.
Does LinkedIn penalise AI posts?
LinkedIn has not published any rule that penalises posts for being written with AI. What we do see is that readers scroll past posts that sound generic, and fewer reactions and comments mean less reach. The risk is sounding like everyone else, whatever tool wrote the post.
What is a good score?
Under 20 reads human. Between 20 and 44 there are a few phrases worth rewriting. From 45 the post sounds a lot like AI, and 70 or above reads as AI-written to most people who see many generated posts.
Can I use it on posts that are not on LinkedIn?
Yes. It works on any short piece of writing, such as a newsletter intro or a company update. The rules were written with LinkedIn posts in mind, so some flags, like engagement bait, matter most there.
Should I use this to check whether a colleague or candidate used AI?
No. A pattern score is not evidence, and false positives are common with every tool of this kind. Use it on your own writing, or on drafts someone has asked you to review.
30 minutes, one profile, a clear view of what it should say.
- Headline, banner and About reviewed
- Your top 3 fixes, in order
- No pitch unless you ask for one