AI content detector for LinkedIn

Paste a draft and get the lines that make it read as AI-written: the exact quote, the pattern it matches, and what a person would write instead. No percentage score, because scores are theatre. Readers do not compute probabilities; they hit one 'Thrilled to share' and scroll, and this tool finds that line before they do.

Fill in what you have. More context, better output.

Free, no account. What you type is sent to our API once, to generate the result, and is not stored.

Result

This is the shape of what comes back. Fill in the form, or hit "Try an example", and the grey turns into words.

Example run

What the detector flags in a typical AI draft

This is the demo draft the Try an example button pastes in, and the lines the detector pulls out of it, each with the pattern named and a human rewrite.

What went in

The draft to check
🚀 Thrilled to announce that I've been diving deep into the world of AI productivity tools! It's not just about working harder — it's about working smarter. In today's fast-paced world, staying ahead of the curve isn't optional. It's essential. These game-changing tools have truly elevated my workflow to the next level. What's your favorite productivity hack? Let me know in the comments! 👇

What came back

This draft would read as AI-written to most people before the second line; nearly every sentence carries at least one tell.

“Thrilled to announce that I've been diving deep”
announcement register

Say what happened: "I spent the last month testing AI productivity tools."

“It's not just about working harder — it's about working smarter.”
not X but Y

Cut it, or state the actual claim: "Two of these tools saved me about four hours a week."

“In today's fast-paced world, staying ahead of the curve isn't optional.”
empty urgency

Delete the sentence. It contains nothing a reader can use.

“These game-changing tools have truly elevated my workflow”
empty intensifiers

Name one tool and one specific change: "Superhuman cut my inbox time to 20 minutes a day."

“What's your favorite productivity hack? Let me know in the comments! 👇”
bolted-on question

Ask only if you want answers, and be specific: "Which tool actually stuck for you past week two?"

Why it matters

Readers trust people, not templates.

Copy that reads as AI spends exactly the thing LinkedIn trades on. Sounding like yourself is not cosmetic; it is what the audience is paying attention for.

92%

of buyers trust recommendations from people over any form of advertising.

Nielsen

67%

of Americans would spend more with companies whose founders’ values show in their personal brand.

Brand Builders Group

6:1

the margin by which readers trust leaders with personal brands over those without.

Brunswick

Not our numbers. Nielsen’s, Brand Builders Group’s, and Brunswick’s.

Beyond the demo

This page writes from a form. The product writes from you.

The generator above works with whatever fits in a few fields. Connect LinkedIn to Depost AI, the AI content team B2B founders and teams run on LinkedIn, and the same kind of draft starts from your analytics, your voice, and the buyers you are actually trying to reach.

Drafts that start from your analytics

The agents read your posting history first: the hooks that earned the click, the pillars your audience answers, the rhythm of what worked. The draft sounds like you because it learned from you, not from a form.

A reply ready for every person who matters

Build custom lists of the people you want to stay visible to. Their new posts arrive in one feed with a comment drafted in your voice under each. You edit or approve every one before it goes anywhere.

From draft to published, without the paste

Finished drafts go to the queue and publish through LinkedIn’s official API, with the first comment written alongside. Connection notes and follow-ups are drafted with the context already in place. Nothing goes out until you approve it.

Connect LinkedIn and you have a strategy, your pillars, and your first post ideas in about fifteen minutes.

The real cost of the AI register

The feed has developed antibodies. Two years of generated posts have taught every reader to recognise the register at a glance: the balanced construction, the em dash cadence, the triumphant vagueness. Recognition costs you before comprehension begins, because the reader's filter fires on pattern, not on meaning. A genuinely good idea wrapped in the register gets skimmed like the slop it resembles. In B2B the cost is specific: the skimmers are your buyers, and a feed of generated posts reads as a preview of what working with you feels like.

That is why this tool is an editor rather than a judge. The interesting question is never whether you used AI (everyone's fine drafts start somewhere); it is whether the published post reads like a person with something to say. The line between the two is specific and fixable, one quote at a time, which is exactly the shape of the output above.

Patterns are habits, and habits break

Run a few of your drafts through and you will notice your flags repeat. Almost everyone has two or three: a person who hedges every claim, a person who cannot end without a question, a person whose em dash key is worn smooth. That is good news. You do not have to become a different writer; you have to catch your two patterns in the edit, and after a dozen posts the catching moves upstream into the writing itself.

The test that outranks any detector: read it aloud. If a sentence embarrasses you spoken across a table, it was the register talking. What survives the reading-aloud test survives the feed.

Questions

How does this AI content detector work?
It reads your draft the way an editor would and points at lines, not scores. For each finding you get the exact quote, the pattern it matches ("It's not just X, it's Y", the announcement register, em dashes as seasoning, empty intensifiers, triads everywhere), and what a person would write instead. If the draft is clean it says so, rather than inventing problems to look busy.
Why no percentage score?
Because percentage scores on AI detection are theatre. No detector can prove authorship from text alone, and the same score means nothing across two drafts. What can be shown reliably is that a specific line matches a specific pattern readers have learned to skim past, and that is actionable in a way "73% AI" never is: you rewrite the line, not the number.
What are the most common AI tells in LinkedIn posts?
The construction "It's not just X, it's Y" and its cousin "X isn't about Y, it's about Z". Em dashes sprinkled as seasoning. Triads ("faster, smarter, better") in every second sentence. Empty intensifiers like "truly", "incredibly", "game-changing". The announcement register ("Thrilled to share"). Hedging that balances every claim. A question bolted onto the end. And a rhythm where every sentence is the same length, which no human under deadline produces.
My post was human-written. Can it still get flagged?
Yes, and that is the useful part. These patterns read as generated because generators learned them from a decade of corporate posting; a human using them gets skimmed just the same. The question the tool answers is not "did a machine write this" but "will readers file this as machine-written", and that question applies to your writing no matter who typed it.
Is it free, and is my draft stored?
Free, no account, with a daily cap so it stays available. The draft is sent once for the read and is not stored.
How do I fix a flagged draft without flattening it?
Rewrite the flagged lines with the specifics the pattern was hiding: the number, the name, the thing that actually happened. Each finding here comes with a suggested fix. Inside Depost AI you can select any line and rewrite it in place, in your voice, with accept and try-again, which turns this checklist into an editing loop.

Make LinkedIn your
best-performing channel.

Brief your team once. It studies, plans, writes, designs, and schedules. You approve.

Your brief comes with you: once you're set up, it's the team's first job.

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