If your LinkedIn feed has started to feel a bit samey, you’re not imagining it.
Polished opening. Short paragraphs. Generic leadership lesson. Neat conclusion.
AI has made it much easier to produce content at scale, but LinkedIn is now taking steps to reduce the amount of low-value, repetitive material appearing in users’ feeds.
The platform refers to this kind of content as “AI slop”, and brands that rely heavily on LinkedIn should pay attention.
LinkedIn Isn’t Banning AI Content, but it is Targeting Low-Value Posts
LinkedIn isn’t banning AI-generated content.
Instead, it’s focusing on content that appears generic, repetitive or lacking a clear point of view. It has also said it wants to reduce automated comments, engagement bait and activity designed to artificially boost reach.
LinkedIn has introduced systems to identify generic AI content and says posts without meaningful insight may be less likely to reach people outside the author’s immediate network.
It has also added a “Seems like AI slop” feedback option, allowing users to flag posts and comments they think fall into this category.
The message is fairly clear: publishing more content isn’t necessarily going to help if that content doesn’t offer anything useful.
What LinkedIn’s AI Crackdown Means for Brands
For brands, the real risk isn’t simply using AI. It’s publishing content that feels generic, interchangeable or disconnected from genuine expertise.
AI can still be useful for organising ideas, editing copy, summarising interviews or turning longer content into social posts.
The problem comes when AI starts replacing the thinking behind the content.
If your LinkedIn strategy relies on prompts such as “write five thought-leadership posts about digital marketing”, you’re likely to end up with content that could have been published by almost anyone.
So what should brands do differently?
Give People Something Only Your Brand Can Say
The strongest LinkedIn content usually starts with something specific.
That might be:
- A trend your team is seeing in client work
- An interesting campaign result
- A common customer question
- An opinion from one of your specialists
- Original data or research
- A lesson from something that didn’t go to plan
AI can help turn that information into a polished post, but the insight should come from your business.
Ask yourself a simple question before publishing:
Could one of our competitors post this word for word?
If the answer is yes, it probably needs more personality or substance.
Turn Your In-House Expertise Into Content
One of the easiest ways to avoid generic content is to speak to the people doing the work.
Your specialists already have useful opinions, examples and experiences. You just need a process for getting those ideas out of their heads and into your content.
That could mean a quick interview, a few questions over Teams or a conversation after a client meeting.
You can then use AI to help structure or edit the material.
The important bit is the order.
Human expertise first. AI assistance second.
Focus on Content Quality Rather Than Posting More Often
Generative AI makes it possible to produce a lot more content.
That doesn’t mean you should.
Publishing 15 generic posts is unlikely to do more for your brand than publishing three genuinely useful ones.
LinkedIn’s changes reinforce something marketers should already know: posting frequency is only useful if the content deserves attention.
Rather than asking, “Are we posting enough?”, ask: “Are we giving people a reason to stop scrolling?”
Make Sure Your Comments Add Something Too
LinkedIn is also targeting automated and low-value comments.
Responses such as “Great insights, thanks for sharing” don’t add much to a conversation, whether they were written by AI or not.
Good comments add an opinion, ask a relevant question or share another useful example.
Treat engagement as a conversation, not another box to tick on the content calendar.
How Should Brands Use AI for LinkedIn Content?
The answer isn’t to stop using AI completely.
The smarter approach is to use it where it genuinely helps while keeping people responsible for the ideas, expertise and opinions behind the content.
AI can be useful for:
- Improving a first draft
- Repurposing existing content
- Organising expert interviews
- Suggesting different headlines
- Shortening or clarifying copy
But don’t expect it to create original expertise from nothing.
LinkedIn’s crackdown is less about whether AI touched a piece of content and more about whether that content gives the reader anything worthwhile.
Human Expertise Still Gives Brands an Advantage on LinkedIn
AI has made creating content easier.
Creating content people actually want to read is still the hard part.
For brands, that means prioritising expertise, experience and clear opinions over sheer publishing volume.
Use AI as a tool, not as your entire content strategy.
Because if your LinkedIn posts could have come from any brand in your industry, there’s a good chance your audience will treat them that way too.
Want to make your social content work harder without adding to the noise? Get in touch with Koozai to talk through your social media and content marketing strategy.
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