How Does the LinkedIn Algorithm Work?

8 min readIntermediate

Quick Answer

The LinkedIn algorithm works in four stages: Quality Test (spam check), Small Test (5-10% of network), Engagement Score (first 60-90 minutes of likes, comments, dwell time, 'see more' clicks), and Expansion Decision (go wide or die). Comments outweigh likes. Creator replies signal conversation. External links, post-and-ghost behavior, and engagement pods hurt reach.

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Everyone talks about "the algorithm" like it's a mysterious god that must be appeased.

The algorithm is just software trying to answer one question:

"What content will keep people on LinkedIn longer?"

Once you understand that, everything else makes sense.

How the algorithm actually works:

Think of it like a filter with stages.

Stage 1: The Quality Test
When you post, LinkedIn immediately scans it. Is it spam? Is it offensive? Is it a link that will take people off-platform? If it passes, it moves to stage 2.

Stage 2: The Small Test
Your post shows to maybe 5-10% of your network first. LinkedIn watches what happens.

Stage 3: The Engagement Score
In the first 60-90 minutes, LinkedIn measures:

  • Who liked it (and how quickly)
  • Who commented (and how substantive)
  • How long people spent reading it
  • Whether they clicked "see more"
  • Whether they saved or shared it

Stage 4: The Expansion Decision
Strong engagement sends your post wide: to more of your network, then to your extended network, potentially to non-connections who might be interested.
Weak engagement means your post quietly dies.

What the algorithm prioritizes:

  • Comments > Likes - A comment requires more effort, signals more engagement
  • Dwell time - Posts people actually read, not just scroll past
  • Creator replies - If you reply to comments, it looks like a conversation (algorithms love conversations)
  • Early momentum - First 60 minutes are critical
  • Completion rate - Do people read to the end or bounce early?

What hurts your reach:

  • External links - LinkedIn wants to keep you ON LinkedIn
  • Posting and ghosting - Not replying to comments signals dead content
  • Heavy editing after posting - Looks like you rushed or are trying to game
  • Engagement pods - Artificial patterns get detected (and punished)

The "see more" factor:

Clicking "see more" signals interest. Your first 210 characters are your hook. If they click for more, you've already won points with the algorithm.

A reality check:

The algorithm changes constantly. What works today will not work in 6 months. But the fundamentals stay the same:

Earn engagement in the first hour, hold attention long enough for people to actually read, and keep the conversation going in the comments.

"The LinkedIn algorithm rewards conversation, not broadcasting. The more genuine replies your post generates, the wider it travels."
— Richard van der Blom, LinkedIn Algorithm Researcher, Author of the annual LinkedIn Algorithm Report

Related resources:

Frequently Asked Questions

Does editing a post after publishing hurt its reach?

Yes, it can. Some creators say that editing a post in the first 60 minutes after publishing "resets" its momentum in the algorithm. It's best to double-check your formatting and links before you hit publish.

Is "dwell time" really that important?

Dwell time—how long someone stays on your post—is a key signal to LinkedIn that your content is engaging. This is why long-form text posts and carousels often perform so well; they naturally keep people on the platform longer.

Should I put links in the first comment or the post?

The algorithm prefers posts without external links. Many creators put "Link in comments" to avoid being penalized. Alternatively, you can publish the post without a link, wait 10-15 minutes, and then edit the post to include the link once it has gained initial traction.

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About the Author

The HookTide Team is comprised of LinkedIn growth experts and data scientists. We analyze millions of posts to decode the algorithms and psychology behind high-performing content.

Reviewed by: Simon (Founder)

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