LinkedIn Guide · 9 min read · Updated 2026

LinkedIn Algorithm Explained: How the Feed & Search Work

The LinkedIn algorithm decides who sees your posts, who finds your profile in search, and whether your content reaches 5 people or 5,000. Most advice about it is guesswork — but LinkedIn has published enough about its ranking signals that we can break it down with confidence.

This guide covers two separate algorithms: the feed algorithm (which ranks posts) and the search algorithm (which ranks profiles). For the profile side, pair this with our recruiter optimization guide and keywords guide.

Part 1: The LinkedIn feed algorithm

When you publish a post, the feed algorithm decides how many people see it. The process has distinct stages.

Stage 1: The initial quality test

Every new post is shown to a small subset of your connections — typically a few hundred people. The algorithm watches how they react:

• Dwell time — how long they spend reading before scrolling past (the strongest signal).
• Comments — especially meaningful, multi-word comments (not just "Great post!").
• Reshares — people sharing your post to their own network.
• Reactions — likes, but these carry less weight than comments and reshares.

If the early audience engages, the post passes the test and gets distributed to a wider audience. If they scroll past, distribution stops.

Stage 2: Wider distribution

Once a post passes the quality test, the algorithm expands it beyond your immediate connections — to 2nd and 3rd-degree connections who share interests or connections with your engagers. The same signals (dwell time, comments, reshares) keep driving further expansion. A post can keep gaining reach for days if engagement stays strong.

Stage 3: Spam and low-quality filtering

The algorithm actively suppresses content it considers low-quality or spammy: posts with external links in the body, repeated identical posts, tag-only engagement (tagging 20 people with no substance), and engagement-bait ("Comment 'yes' if you agree!"). It also filters content that violates community policies.

Feed algorithm ranking factors (in order of weight)

• 1. Dwell time — the #1 signal. If people stop scrolling and read, the algorithm takes notice. Long-form posts with compelling hooks win here.
• 2. Meaningful comments — multi-word comments that add to the discussion. The algorithm weighs these far more than likes.
• 3. Reshares — someone thinks your post is worth their network seeing. High trust signal.
• 4. Reactions (likes, etc.) — the weakest engagement signal, but still counts.
• 5. Recency — newer posts get a slight boost, but a post with strong engagement can stay in feeds for days.
• 6. Author relevance — if you consistently post about a topic, the algorithm learns to show your posts to people interested in that topic.

What the feed algorithm penalizes

• External links in the post body. LinkedIn wants users on-platform. Put links in the first comment instead.
• Engagement bait. "Comment 'yes' if you agree" gets suppressed. Ask genuine questions instead.
• Tagging spam. Tagging 20 people in a post with no relevance to them triggers a penalty.
• Identical repeated posts. Posting the same content multiple times looks spammy.
• Polls without context. A bare poll with no framing text performs worse than one with a story or insight attached.

Part 2: The LinkedIn search algorithm

The search algorithm is separate from the feed. It determines where your profile ranks when a recruiter searches for candidates. This is the algorithm that controls whether you get found — and it's the one that matters most for job seekers. For the full tactical guide, see our recruiter optimization guide.

Search ranking factors

• 1. Keyword relevance — the headline carries the most weight, followed by job titles, skills, and the About section. See our keywords guide for placement strategy.
• 2. Profile completeness — All-Star profiles rank higher. Every incomplete section drops your ranking. See our profile strength guide.
• 3. Activity level — profiles with recent posts and engagement signal an active user. An inactive profile ranks lower.
• 4. Connection proximity — shared connections with the searcher boost your ranking. This is why networking matters for search visibility.
• 5. Verified signals — skill assessment badges and certifications add verified weight. See our certifications guide and endorsements guide.

How to work with the algorithm (not against it)

• Write strong hooks. The first 2–3 lines determine whether someone clicks "see more" or scrolls past. That click is the dwell-time signal that drives distribution.
• Post about one topic consistently. The algorithm learns what you post about and shows your content to interested audiences. Topic-hopping confuses it.
• Encourage real comments. End posts with a genuine question that invites discussion — not engagement bait. Reply to every comment to extend the conversation.
• Put links in the comments. If you're sharing a resource, mention it in the post and paste the actual link in the first comment.
• Post weekly, at minimum. Activity signals feed ranking and search ranking. Even one post per week keeps you in the algorithm's good graces. See our profile views guide for the activity-visibility connection.
• Optimize your headline for search. This is the single highest-impact search action. Use our free headline generator or see headline examples.

Understanding the algorithm is half the battle — the other half is a complete, keyword-optimized profile. Get your free LinkedIn visibility score to see exactly what's holding your profile back. For more on optimizing each section, see our guides to LinkedIn tips for 2026, skills section best practices, and improving LinkedIn visibility.

Frequently asked questions