What is LinkedIn's AI slop button?

It's a 'Seems like AI slop' option LinkedIn added to posts in summer 2026. TechCrunch reported the announcement on 30 July. Anyone can use it to say a post looks like low-effort AI content. It changes what that person sees, and the reports help train LinkedIn's systems to spot similar posts.

Does LinkedIn penalise posts written with AI?

Not for using AI as such. LinkedIn's creator product lead described slop as polished-looking content with no substance, and said using AI to refine your own writing is fine. What gets flagged is generic, repetitive posts that add nothing. Posts with real experience, numbers and opinions in them aren't the target.

Does reporting a post as AI slop reduce its reach?

One report mostly changes the reporter's own feed, LinkedIn says. But reports train its classifiers, which LinkedIn says now check every post shown beyond your own network with 94% precision. LinkedIn also says AI slop is getting 40% fewer views. Collect enough reports and your reach outside your network suffers.

Will I know if my posts are reported as AI slop?

LinkedIn has said it will privately flag it in your dashboard when people think your posts read as heavily AI-made, and that members who get a lot of reports will get a notification. It describes this as informative rather than a penalty. Your account isn't suspended for being reported.

How do I stop my LinkedIn posts reading as AI slop?

Put something in them only you could write: a real client question, a number from your own work, an opinion people could disagree with. Then cut the patterns readers associate with AI, such as buzzwords, hedging, uniform paragraphs and a question bolted on the end. A free checker like Postbrander's post analyser flags most of them.

LinkedIn's AI slop button and how readers spot AI posts

Since summer 2026, anyone on LinkedIn can flag your post as "Seems like AI slop". LinkedIn uses those reports to train the systems that decide how far posts travel outside your network. So the old question, can readers spot AI-written posts, now has a sharper version: will they report yours?

They can spot it. Readers have had 3 years of AI-written LinkedIn posts and they know the patterns. Here's what the button actually does, what LinkedIn counts as slop, and the tells that get posts flagged.

What the AI slop button does

LinkedIn announced the option on 30 July 2026, according to TechCrunch. Social Media Today dates the launch to August. Either way, it's live on posts now.

What happens when someone uses it, according to LinkedIn's own people:

That reader sees less like it. LinkedIn's creator product lead told Social Media Today the option is about giving viewers control of their own feeds, and isn't a route for reporting policy breaches.
Reports train the classifiers. LinkedIn's VP of engineering says its slop detection now covers every post distributed beyond your immediate network, at 94% precision.
It's already cutting views. LinkedIn's chief product officer says AI slop is getting 40% fewer views, and more than 1 million people used the option within weeks of launch.
Posters get told. LinkedIn said it would privately flag it in your dashboard when people find your posts inauthentic because of heavy AI use. Members with a lot of reports get a notification.

So a single report changes one reader's feed. A pattern of them costs you reach with the people who don't already follow you, which is where new opportunities come from.

What LinkedIn counts as slop

The target is substance. LinkedIn's creator product lead described slop as content that looks polished but lacks substance, posted to take up space and get attention without effort. Using AI to tidy up your own words is fine, by LinkedIn's account.

LinkedIn backed that up on the same day it launched the button: it removed its own "enhance your post" AI writer and replaced it with a proofreader that checks your words rather than changing your voice.

That's the line to stay on the right side of. A post can be drafted with AI and still be full of things only you know. Slop is a post anyone could have generated from the topic alone.

The tells that get a post flagged

These are the patterns readers now read as machine-written. Most posts that get reported have several.

1. Nothing only you could have written

"I worked with a client who saw significant growth." No sector, no number, no time frame. This is the biggest tell, because it's exactly LinkedIn's definition of slop: polish without substance.

Fix: add at least one thing from your own work. "Significant growth" becomes "37% more organic traffic in 90 days, mostly from 4 pages we'd ignored." Anonymised specifics still count.

2. Buzzword vocabulary

"Actionable insights", "drive results", "move the needle", "deep dive", "thought leadership". Readers skim straight past these, and they're the words LLMs reach for when there's nothing underneath.

Fix: delete them. If the sentence collapses without the buzzword, it wasn't saying anything.

3. The hedged opinion

"While there are many perspectives on this, it's worth considering that…" AI hedges by default. People with a view just state it.

Fix: cut every hedge and make the claim.

4. Lists of exactly 3

"3 things I learned from…" followed by a perfectly balanced list. Once you notice how often AI lands on 3, you see it everywhere.

Fix: use the number of points you actually have. 2 is fine. So is 5, or 1 told properly.

5. Metronome rhythm

AI drafts come out in paragraphs of the same length, one after another. Human writing has a short line, then a longer one, then a fragment.

Fix: vary it on purpose. Let a strong line sit alone.

6. Dashes everywhere

Heavy dash use has become one of the best-known AI fingerprints. One is a style choice. Several in a short post reads as generated.

Fix: swap most of them for commas, full stops or brackets.

7. The bolted-on ending

"I hope this helps!" or "What do you think? Comment below!" The first is assistant-speak. The second is engagement bait, which LinkedIn's 2026 changes already demote.

Fix: end on your strongest line, or ask a question you genuinely want answered.

What gets through

The posts nobody reports have something in common: a reader can tell a specific person wrote them. A real situation, a number, a view some readers will disagree with. AI can help you shape that into a post. It can't supply it.

How Postbrander handles this

Postbrander starts every draft from something real you give it: a client question, a result, a lesson. When a brief has no first-hand material in it, the writer is told not to invent any, and drafts are checked for made-up incidents before you see them.

Every draft is then checked for the tells above before you publish. You can run the same check on any post, written anywhere, with the free post analyser. For the numbers behind what works, see the LinkedIn benchmarks and the stats we checked.

James