If your LinkedIn feed is starting to feel a bit similar, you’re not imagining it.
Polished opening. Short paragraphs. General leadership lesson. Elegant conclusion.
AI has made it easier to produce content at scale, but LinkedIn is now taking steps to reduce the amount of low-value, repetitive material that appears in users’ feeds.
The platform refers to this type of content as “AI slop,” and brands that rely heavily on LinkedIn should take notice.
LinkedIn does not ban AI content, but it does target low-value posts
LinkedIn does not block AI-generated content.
Instead, they focus on content that seems generic, repetitive, or lacks a clear point. It also said it wanted to reduce automated comments, engagement bait and activity designed to artificially boost reach.
LinkedIn has introduced systems for identifying AGI 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 “looks like an AI slop” comments option, allowing users to flag posts and comments they think fall into this category.
The message is fairly clear: posting more content won’t necessarily help if that content doesn’t provide anything useful.
What LinkedIn Campaign AI means for brands
For brands, the real risk isn’t just using AI. They post content that seems generic, interchangeable, or disconnected from real experience.
AI can still be useful for organizing ideas, editing copy, summarizing interviews, or turning longer content into social posts.
The problem comes when AI starts replacing the thinking behind the content.
If your LinkedIn strategy is based on prompts like “Write five thought leadership posts about digital marketing,” you’ll likely end up with content that can be published by almost anyone.
So what should brands do differently?
Give people something that only your brand can say
The strongest LinkedIn content usually starts with something specific.
This may be:
- The direction your team sees in the client’s business
- Interesting campaign result
- A common question for customers
- An opinion from one of your specialists
- Original data or research
- A lesson from something that didn’t go as planned
AI can help turn this information into a polished post, but the insight must come from your business.
Ask yourself a simple question before posting:
Can one of our competitors spread this word for word?
If yes, it probably needs more personality or substance.
Turn your internal expertise into content
One of the easiest ways to avoid generic content is to talk to the people who do the work.
Your professionals already have useful opinions, examples, and experiences. All you need is a process to get these ideas out of their heads and include them in your content.
This could mean a quick interview, asking a few questions about Teams, or a chat after a client meeting.
You can then use AI to help organize or edit the material.
The important thing is the order.
Human experience first. AI Help II.
Focus on quality content rather than posting too often
Generative AI makes it possible to produce more content.
This doesn’t mean you should.
Publishing 15 generic posts is less likely to benefit your brand than publishing three really helpful posts.
LinkedIn’s changes reinforce something marketers should already know: posting frequency is only useful if the content is worthy of attention.
Instead of asking: “Are we posting enough?”, ask: “Are we giving people a reason to stop scrolling?”
Make sure your comments add something too
LinkedIn also targets automated and low-value comments.
Responses like “Great insights, thanks for sharing” don’t add much to the conversation, whether written by AI or not.
Good comments add an opinion, ask a relevant question, or share another helpful example.
Treat sharing as a conversation, not another box to tick on your content calendar.
How should brands use AI for LinkedIn content?
The answer is not to stop using AI completely.
The smarter approach is to use it where it really helps while keeping people accountable for the thoughts, experiences, and opinions behind the content.
AI can be useful for:
- Improve the first draft
- Reuse existing content
- Organizing expert interviews
- Suggest different titles
- Shorten or clarify the copy
But don’t expect it to create an original experience out of nothing.
A LinkedIn campaign is less about whether the AI touched on a piece of content and more about whether that content gives the reader anything worthwhile.
Human expertise still gives brands an advantage on LinkedIn
Artificial intelligence has made content creation easier.
Creating content that people actually want to read is still the hard part.
For brands, this means prioritizing clear expertise, experience and opinions over sheer volume.
Use AI as a tool, not as an entire content strategy.
Because if your LinkedIn posts can 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 more noise? Contact Koozai to talk through your social media and content marketing strategy.
