How to Beat the New LinkedIn Algorithm in 2026

Over the last few months, LinkedIn has rolled out a series of updates that have COMPLETELY changed how content gets ranked, who it gets shown to and which signals actually matter.

We've worked with 100+ B2B companies, generated $5M+ in tracked revenue through LinkedIn and driven 50M+ impressions across our clients in the last year, so we've been able to see these changes play out across a large number of accounts.

In the video below, I break down the entire update in detail.

But if you want the written version, here are the 7 biggest changes to the LinkedIn algorithm and what you need to do differently going forward.

Change #1: LinkedIn is actively fighting AI slop

The first major change is LinkedIn's crackdown on generic AI-generated content.

LinkedIn now gives users the ability to report content as "Seems like AI slop."

This matters because a huge percentage of LinkedIn has become completely automated. People are plugging ChatGPT into content systems, generating posts with almost no human input and filling the feed with the same opinions written in the same style.

The opportunity here isn't to stop using AI completely.

It's to stop using AI as the person creating your ideas.

We still use AI extensively for:

But the final content needs human input.

That means adding your own opinions, experiences, customer stories and proprietary data.

What you need to change:

Use AI as a co-pilot rather than an autopilot.

Build an asset library containing your sales calls, customer interviews, previous content, case studies, internal data and stories. Use AI to find angles inside those assets, then make sure the final post sounds like something you would genuinely say.

If your content could have been generated by anyone typing the same prompt into ChatGPT, it's probably not differentiated enough.

Change #2: Engagement bait is getting suppressed

The second major change affects one of the most popular LinkedIn growth strategies of the last few years.

Engagement bait is getting harder.

LinkedIn introduced an authenticity update designed to identify manipulative engagement prompts, and we're now seeing the effects become much more noticeable.

That includes obvious CTAs like:

But the biggest implication for us has been lead magnets.

We've generated thousands of comments using posts that say:

"Comment GUIDE and I'll send it to you."

That exact strategy is becoming harder because LinkedIn can recognize that the post is explicitly asking people to comment.

The good news is that lead magnets aren't dead.

You just need to change how you distribute them.

What you need to change:

Instead of putting: "Comment GUIDE and I'll DM it to you"

inside the written post, move the CTA into the graphic itself.

Then make the post about the actual value inside the resource and use something more neutral in the written copy, such as:

"Free access below."

We're still generating thousands of comments on lead magnets. The mechanism just needs to evolve with the algorithm.

Change #3: LinkedIn is getting much better at understanding your content

The third change is probably one of the most important long-term changes.

LinkedIn's ranking system is becoming much better at understanding:

Instead of simply pushing content based on follower count and basic engagement signals, LinkedIn can increasingly match content with relevant audiences.

It can look at your headline, About section, experience, posting history and the subjects you consistently discuss.

This means having a smaller audience isn't necessarily a disadvantage.

If LinkedIn understands exactly what you talk about and exactly who should see it, you can still get significant distribution.

The problem comes when your positioning is completely inconsistent.

If you talk about SaaS on Monday, crypto on Tuesday, sales on Wednesday, fitness on Thursday and something completely unrelated on Friday, it becomes much harder to build authority around anything.

What you need to change:

Choose roughly 2–4 core topic pillars.

Then make sure your profile is completely congruent with those topics.

Your headline, About section, experience and content should make it incredibly obvious:

You can cover hundreds of angles within those pillars. You just don't want to reinvent your positioning every day.

Change #4: Your posts now need to pass three major gates

The easiest way to understand the new algorithm is to think about every post moving through three gates.

Gate 1: Quality

LinkedIn first needs to determine whether your content is actually worth distributing.

If it's generic AI slop, obvious engagement bait, automated spam or something with very little substance, you're immediately at a disadvantage.

Gate 2: Early velocity

Your early engagement still matters enormously.

LinkedIn initially tests your content with part of your audience and watches what happens.

Are people stopping?

Are they reading?

Are they commenting?

Are they saving it?

Are they sending it to other people?

Strong early signals give LinkedIn more confidence to continue distributing the post.

Gate 3: Relevance

Once those signals are strong enough, LinkedIn needs to decide who else should see it.

This connects back to the previous change.

If your post is clearly about LinkedIn marketing and your profile establishes you as someone with expertise in LinkedIn marketing, LinkedIn has much stronger contextual signals for finding the next relevant audience.

What you need to change:

Think about all three stages before publishing.

Create something genuinely valuable, maximize your chances of getting meaningful early engagement, and make the topic relevant to the audience you're trying to build.

You need all three working together.

Change #5: Likes matter less than saves, sends, dwell time and meaningful comments

For years, creators have obsessed over likes.

But a like is one of the easiest actions someone can take.

Someone can like your post without even properly reading it.

Compare that to a save.

If someone saves your post, they're essentially saying:

"This is useful enough that I want to come back to it."

Or a send.

Now they're saying:

"This is valuable enough that somebody else needs to see it."

Then there's dwell time. If someone stops scrolling, clicks "see more" and spends a minute consuming your post or graphic, that's another strong indication that the content was worth showing them.

Finally, meaningful comments matter significantly more than generic responses like "Great post!"

This is also why we're seeing thoughtful LinkedIn comments get huge amounts of distribution themselves. A genuinely useful comment can almost become a miniature post underneath someone else's content.

What you need to change:

Stop asking:

"How can I get more likes?"

Start asking:

"How can I make this valuable enough that someone saves or sends it?"

That means producing more:

This is one reason comprehensive graphics have been working so well. They can simultaneously increase dwell time, saves and sends.

Change #6: LinkedIn is getting better at detecting artificial engagement

Engagement pods and automated comments are becoming increasingly risky.

If you're running 50–100+ accounts through an automated system that immediately likes and leaves generic comments on every post, LinkedIn is getting much better at identifying those patterns.

And even without an explicit penalty, those comments don't necessarily create the signals you actually want.

There's a huge difference between:

"Great insights Paolo 🔥"

and someone writing a thoughtful paragraph discussing the actual idea in the post.

The second tells LinkedIn that a genuine conversation is happening.

What you need to change:

Prioritize relevant, genuine early engagement over sheer volume.

If you have friends, clients, employees or other people in your industry who genuinely want to engage with your content, that's significantly more valuable than blasting automated engagement across dozens of accounts.

You can also spend time before and after posting leaving meaningful comments on relevant people's content.

The goal isn't to manufacture engagement.

It's to create actual conversations.

Change #7: Posting more isn't necessarily better anymore

Another strategy I would stop chasing is pure volume.

For most people, one strong post per day is enough.

You could potentially post twice per day if you have enough genuinely good content, and larger creators may be able to go beyond that.

But if you're publishing three, four or five mediocre posts every day simply because someone told you volume wins, you're probably doing more harm than good.

Especially when LinkedIn is increasingly focused on quality and relevance.

What you need to change:

Take the time you would have spent creating three average posts and make one significantly better.

Add:

One genuinely valuable post is worth considerably more than several posts nobody remembers.

So, what should you actually do going forward?

If I were rebuilding my LinkedIn strategy around these changes today, I'd focus on eight things:

The important thing is that LinkedIn is changing what earns organic reach.

Generic AI posts, engagement bait, automated comments and content designed purely to game the algorithm are getting harder to scale.

At the same time, LinkedIn is getting better at understanding what you actually know, what your content is about and which people should see it.

For B2B founders, I actually think that's a massive opportunity.

Make sure to take advantage of it ;)