Free LinkedIn AI Slop Detector: Check If Your Post Reads Like AI

Paste a LinkedIn post and see if it reads like the generic, repetitive content LinkedIn now filters. Get a slop risk score, the exact lines that give it away, and what to add so the post sounds like you.

100% free, no sign-upRuns in your browserBuilt on LinkedIn's published criteriaUpdated October 2026

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1Paste your LinkedIn post0 / 3,000

Or try:

Runs in your browser. Nothing is sent or stored.

2Your slop report

A slop risk scoreFrom 0 to 100, split between AI tells and substance.
The lines that give it awayHighlighted in your post, with the reason for each.
What only you can addQuestions that turn a generic draft into a specific post.

Why this detector is different

A post with no em dash can still be AI slop

Most AI slop checkers count style tells: "delve", em dashes, rocket emojis. That catches lazy ChatGPT output, but it is not what LinkedIn says it filters. LinkedIn defines AI slop as generic or repetitive posts that add no real insight. A post can avoid every AI word and still say nothing.

So this detector scores two things and combines them into one slop risk score.

AI tells

Cliche openers, hollow hooks, AI vocabulary, the "it's not X, it's Y" formula, engagement bait, one-line rhythm, emoji bullets.

Substance

What a model cannot invent for you: numbers, dates, names, what you actually did, and why it worked.

Clean but generic0 AI words, 0 em dashes

Consistency is the key to success on LinkedIn. Post regularly, engage with your network, and share valuable content with your audience. Small steps every day lead to big results over time.

AI tells 34 Substance 0

High risk

Specific and humanA real story with numbers

My first sales call at Pipedrive went so badly that the prospect hung up before I finished my intro. She wanted one thing: could we import her 4,000 contacts without breaking the phone numbers. I didn't know. She signed in March.

AI tells 0 Substance 91

Low risk

What LinkedIn has said

How LinkedIn detects AI slop in 2026

LinkedIn has explained its approach in several steps since the summer. Here is what it has said, with dates and figures.

1M+members used the "AI slop" report button in under three weeks.August 2026

94%precision of LinkedIn's classifiers on posts shown beyond your network.October 8, 2026

40%fewer views of AI slop since LinkedIn started filtering it.LinkedIn figure

August 2026
A report button. Members can flag a post in their feed as AI slop. Those reports become training data.
The definition
Generic or repetitive, with no real insight. AI slop is about the content, not about whether AI helped write it.
The models
Teacher and student models. Large "teacher" models track new slop patterns and generate training data, which smaller "student" models learn from quickly.
The agents
Policy agents and human review. Each AI agent checks one policy, for example whether a post is promotional, celebrates an achievement or is timely. Unclear cases go to human reviewers.
October 8, 2026
Full coverage beyond your network. VP of Engineering Tim Jurka said the classifiers now cover all posts distributed beyond your immediate network.

What it means for you: a post flagged as slop is not deleted, it mostly stays with your first-degree connections. That is the reach you lose. And 94% is a precision figure: LinkedIn has not published how much slop its classifiers miss.

Sources: Tim Jurka, LinkedIn, Laura Lorenzetti, LinkedIn, Social Media Today.

Under the hood

What the detector checks

Eight signals, each tied to how LinkedIn describes slop. Red and amber raise the score, green lowers it.

Signal	What it looks for	Why it matters on LinkedIn
Cliche opener	"Thrilled to announce", "I've been thinking a lot about", "In today's fast-paced world"	The first line decides if people click "see more". A stock opener says they have read it before.
Hollow hook	"Here's the thing", "Let that sink in", "The result?", "Read that again"	A promise with no payoff, repeated across thousands of posts.
AI vocabulary	Delve, leverage, seamless, tapestry, game-changer, unlock your potential	Words models over-use and people rarely say out loud.
"Not X, it's Y"	"Leadership isn't about titles. It's about impact."	One of the most repeated templates in the feed.
Engagement bait	"Agree?", "Comment YES", "Repost if", "Follow for more"	Written for the algorithm, not the reader.
Robotic rhythm	Every line a short standalone sentence, every sentence the same length	The broetry template. People write in bursts, models write in rows.
Decoration	Arrow or emoji bullets, emoji at line ends, 4+ hashtags	Template fingerprints that add no information.
Substance	Numbers, dates, names, past-tense actions, "because"	The opposite of generic, and the part LinkedIn's definition is about.

Reading your result

How to read your slop risk score

0 to 34

Low risk

Specific, personal, few or no AI tells. Post it.

35 to 59

Borderline

Some lines read like a template. Fix the highlighted ones and add one concrete detail.

60 to 100

High risk

Reads like the generic posts LinkedIn filters. Rewrite from a real example before you post.

Fix it in five minutes

How to fix a post flagged as AI slop

Using AI to draft is fine. The problem is drafting from nothing. These five edits move most posts from high risk to low risk.

Start with the moment, not the announcement. Replace the opener with what happened: who, where, when.
Add one number. A result, a cost, a time saved, a count. One real number does more than three adjectives.
Say what you did, in the past tense. "I sent", "we shipped", "I lost the deal". Advice without an action reads as filler.
Explain why. One "because" turns an opinion into an insight, which is exactly what LinkedIn's definition asks for.
Cut the decoration. Remove the bait closer, the arrow bullets and most hashtags, then run the check again.
Start from your own context
Taplio drafts from your profile, your past posts and your results, so the first version is already specific.
Try Taplio for free

Frequently Asked Questions

What is AI slop on LinkedIn?

LinkedIn defines AI slop as generic or repetitive posts that add no real insight. It is about the content, not the tool: a post written with AI help is fine if it says something specific.

Does LinkedIn penalize AI-generated content?

LinkedIn does not target AI-assisted writing as such. It targets generic, repetitive posts. Since October 2026 its classifiers check every post distributed beyond your immediate network, so a post flagged as slop mostly stays with your first-degree connections.

How does LinkedIn detect AI slop?

With a teacher and student model setup trained partly on member reports, plus AI agents that each check one policy (for example promotional, achievement or timely posts) and send unclear cases to human reviewers. LinkedIn reports 94% precision.

Can this tool tell for certain if AI wrote a post?

No, and no tool can. This detector does not guess who wrote the post. It measures how close the post is to what LinkedIn says it filters: template patterns and a lack of specifics.

How is this different from an AI detector like GPTZero?

AI detectors try to predict whether a model produced the text. That is not what decides your reach on LinkedIn. A human can write slop and an AI-assisted post can be excellent. This tool checks genericness and template patterns, the criteria LinkedIn has published.

What is a good slop risk score?

Under 35. Most posts with a real example, one number and a clear opinion land there, even if they were drafted with AI.

Is my post stored or sent anywhere?

No. The check runs entirely in your browser. Your text is never uploaded, logged or used for training.

Does the detector work for posts in other languages?

Not yet. The patterns and the substance signals are tuned for English posts. A post in another language will get a score, but it will not be reliable.

Is the AI slop detector free?

Yes. No sign-up, no daily limit, and you can run it as many times as you want.

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Free LinkedIn AI Slop Detector: Check If Your Post Reads Like AI

Brought to you for free by

A post with no em dash can still be AI slop

AI tells

Substance

How LinkedIn detects AI slop in 2026

What the detector checks

How to read your slop risk score

Low risk

Borderline

High risk

How to fix a post flagged as AI slop

Start from your own context

Frequently Asked Questions

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