Table of Contents:

How the LinkedIn Algorithm Works [2026 Guide]

Written by
Edgar
Published:
January 14, 2026
Updated on:
January 13, 2026
LinkedIn Marketing

Table of Contents:

This guide breaks down exactly how the algorithm works, what factors matter most, and actionable tactics you can implement today to see results.

What is the LinkedIn algorithm?

Imagine you're scrolling through LinkedIn. You're not seeing every post from every person on the platform. Instead, you're seeing a curated selection.

That curation happens because of the algorithm. It analyzes thousands of data points about you (what you click, what you comment on, your industry, your job title) and compares them to posts and creators across the platform. Then it makes a decision: "This post is relevant to you. Show it."

Think of the LinkedIn algorithm as a recommendation engine, a smart system that decides which posts appear in your feed and which ones stay hidden.

The LinkedIn algorithm is a filter that ranks and distributes content so professionals see posts aligned with their behavior, rather than random or irrelevant content cluttering their feed.

Why does the LinkedIn algorithm matter for growth?

LinkedIn has over 1 billion members, but organic reach is not evenly distributed.

Two people can post at the same time with similar audiences and see 10x difference in reach.

Understanding how LinkedIn ranks posts allows you to:

  • Increase organic impressions without ads
  • Reach second- and third-degree audiences
  • Build authority faster in your niche
  • Generate inbound opportunities consistently

How the LinkedIn Algorithm ranks content

LinkedIn ranks posts through a multi-stage process designed for relevance. These tipically involves:

1. Quality filtering

Not all candidates make the cut. LinkedIn's filtering layer removes spam, bot-generated content, and low-quality posts using pattern-matching technology with 93% accuracy. Every post undergoes instant spam detection and quality assessment. Low-quality or bait posts (e.g., "Like if you agree!") get suppressed immediately.

Posts with engagement bait phrases like "What do you think?" or "Share your thoughts" are flagged and deprioritized here. Posts from accounts with poor engagement history, misleading headlines, or content violating LinkedIn's policies get filtered out.

LinkedIn itself has signaled a shift away from engagement bait — saying that 60% of high-engagement posts in 2025 used tactics that didn’t drive real satisfaction, prompting ranking changes that deprioritize these tactics.

2. Candidate sourcing

When you open LinkedIn, the algorithm doesn't evaluate every post ever created. That would be impossible. Instead, it pulls from a massive pool of candidates—roughly 1,000+ potential posts from your network, accounts you follow, hashtags you've engaged with, and topics related to your industry. This initial pull happens in milliseconds, creating a shortlist of posts worthy of consideration.

Once cleared, the algorithm pulls a shortlist of relevant posts from:

  • Your network (1st, 2nd, 3rd degree)
  • Accounts you follow
  • Topics and keywords related to your industry
  • Hashtags you engage with

‍

3. Ranking & Personalization

Surviving posts now compete for visibility. LinkedIn scores each one using over 300 signals, focusing on things like:

  • Relevance to you: Does this post match your interests, industry, job function, and past behavior?
  • Engagement quality and speed (e.g., comments vs likes)
  • Dwell time and depth of interaction
  • Creator authority: Is the author an expert in this field? Do relevant people engage with their content?
  • Social proximity: Are they a direct connection, second-degree, or third-degree? Closer connections rank higher.
  • Content format: Is it a video, carousel, text, poll?
  • Engagement velocity (Early momentum signals quality).

The result? A highly personalized feed where identical content may rank very differently for two users.

High-performing posts get bumped up. The algorithm also personalizes the order based on your unique behavior patterns. A post that ranks #5 for one user might rank #1 for another because of differences in their industry, role, or engagement history.

What ranking factors does LinkedIn's algorithm prioritize?

Creator Authority

LinkedIn increasingly prioritizes content from recognized experts and thought leaders. The algorithm evaluates your authority based on whether you consistently post about specific topics, whether your content demonstrates original insights, and whether other authorities in your field engage with your posts.

Viewer Relevance

Even great content won't reach people if it's not relevant to them. LinkedIn's machine learning models analyze each user's behavior to predict content relevance based on their job title, industry, skills, followed hashtags, and past engagement patterns.

Your relationship to the content creator matters significantly. First-degree connections (people you're directly connected with) are more likely to see your content than second-degree connections, who in turn have higher visibility than third-degree connections.

If a post aligns with these patterns, LinkedIn will prioritize it in your feed.

Dwell time

Dwell time measures how long users linger on your post: scroll pauses, expansions, or video watches. It's LinkedIn's top hidden metric, influencing a good portion of ranking decisions.

Dwell time acts as a primary engagement signal, indicating genuine interest to the algorithm. LinkedIn uses this signal to estimate “skip probability” and boost posts that keep users engaged.

According to BlueGift Digital, posts with 61+ seconds of dwell time average a 15.6% engagement rate, while posts with less than 3 seconds of dwell time typically see only 1.2%.

That said, LinkedIn does not apply a single dwell-time threshold across all content types—30 seconds may be considered long for an image post, but short for a video.

Engagement (comments, likes, interactions)

LinkedIn's algorithm has fundamentally shifted from rewarding engagement quantity to prioritizing engagement quality. Not all comments are created equal in the algorithm's eyes.

Comments from relevant industry experts carry up to 5-7x more algorithmic weight than interactions from random connections outside your industry. When recognized authorities in your field comment on your post, it signals high value to the algorithm, triggering expanded distribution to similar professionals.

Posts that spark back-and-forth discussions between multiple participants receive 5.2x more amplification than comparable posts without conversation depth.

The algorithm specifically looks for threads where different users reply to each other, not just isolated comments directed at the original poster. Comment length also matters. Longer comments significantly increase visibility compared to simple emoji reactions.

What content formats works best for LinkedIn?

The platform strongly favors formats that maximize dwell time, native interaction, and in-feed consumption.

Put simply: the longer users stay on your content without leaving LinkedIn, the more distribution you earn.‍

Below is a clear breakdown of which formats perform best in 2026:

Format Best for Why it performs (algorithm-friendly behavior) Benchmark signal (engagement rate) How to use it
Multi-image posts Engagement + saves Swiping + pausing increases time spent; encourages comments on specific frames ~6.60% avg ER (brands benchmark) Use 3–8 frames; one idea per frame; add a “slide 1 hook”
Document / PDF (carousel) Education + authority High dwell time from reading + swiping; strong save/revisit behavior ~5.85% avg ER (brands benchmark) Turn processes into steps, checklists, frameworks; include a clear CTA to comment/save
Native video Reach + trust-building Watch time/completion contributes to “time spent” signals; strong for storytelling and proof ~5.60% avg ER (brands benchmark) Keep it tight; hook in first 1–2 seconds; use captions; one key takeaway
Text-only posts Comments + conversation Fast to consume; works when it triggers thoughtful comments and discussion Varies (not top in brand ER benchmarks) Use a strong first line; short paragraphs; one clear point; ask a specific question
Polls Impressions / visibility Low-friction participation drives distribution; often optimized for reach, not depth Highest impressions (benchmark insight) Use for research; ask a real question; prompt voters to explain in comments
External link posts Clicks (not reach-first) Users leave the platform; often weaker for on-platform engagement signals Typically underperforms native formats for reach If you need traffic, lead with value first; treat reach as secondary objective

Why Carousels dominates

Document posts (PDFs and carousels) consistently outperform other formats because they:

  • Require multiple interactions (swipes)
  • Increase average time spent per post
  • Signal intentional consumption, not passive scrolling

According to multiple LinkedIn performance studies, document posts generate 2–3x more dwell time than single-image or short text posts, making them one of the safest formats for organic reach in 2026.

Posting Time Still Matters

Even the best content needs early engagement to gain momentum. Posting when your audience is most active increases the likelihood of fast comments and dwell time (two signals the algorithm heavily rewards).

For a full breakdown, see our guide on the best time to post on LinkedIn for maximum reach.‍

How to optimize your LinkedIn Profile for the algorithm?

Before your content ever gets ranked, your profile gets evaluated. A strong profile increases the baseline reach of everything you publish.

1. Complete your profile and align with your content niche

A fully optimized LinkedIn profile (complete headline, about section, experience, skills) is shown to improve visibility and ranking within search and feed recommendations.

Profiles that are complete are more likely to be treated as trusted contributors, especially when posting original insights.

If you post about:

  • LinkedIn growth
  • Personal branding
  • B2B marketing

…but your profile talks mostly about unrelated roles, you create a relevance mismatch.

Best practice:

  • Match your About section to the themes you post about
  • Use industry-specific keywords naturally
  • Clearly state who you help and how

This increases trust signals and improves distribution to the right audience.

2. Optimize your headline

Your headline is one of the strongest relevance signals LinkedIn uses.

The algorithm scans it to understand:

  • Your industry
  • Your expertise
  • Who your content should be shown to

Best practices:

  • Use clear role + niche keywords
  • Avoid vague buzzwords (“Visionary,” “Thought Leader”)
  • Match terms recruiters and professionals actually search

Example: B2B SaaS Growth Marketer | LinkedIn & Demand Gen

3. Establish topical authority

LinkedIn algorithm rewards topical consistency. It increasingly favors creators who consistently publish around 1–2 clear focus areas rather than switching topics. This helps the algorithm understand where to categorize your content and shows users that you are a reliable expert in your niche.

If you post about:

  • LinkedIn growth
  • Personal branding
  • B2B marketing

…but your profile talks mostly about unrelated roles, you create a relevance mismatch.

Best practice:

  • Match your About section to the themes you post about
  • Use industry-specific keywords naturally
  • Clearly state who you help and how

This increases trust signals and improves distribution to the right audience.

4. Focus on Engagement

LinkedIn prioritizes profiles with consistent, high-quality engagement. Signals the algorithm tracks include:

  • How often people comment on your posts
  • Whether conversations continue beyond one reply
  • Whether relevant professionals engage with you repeatedly

Creators with smaller but highly engaged networks often outperform larger accounts with passive audiences.

So, when creating content, keep that in mind and focus on creating content that is useful, spark interest and conversations.

The algorithm also evaluates network contribution, not just content creation.

Commenting thoughtfully on relevant posts not only build authority but also signals expertise and increases profile visibility to second-degree networks. This also increases the likelihood that your future posts will be shown to those same audiences.

5. Content quality and consistency

The LinkedIn algorithm doesn’t reward creators who post the most, it rewards creators who post consistently high-quality content around a clear topic.

You content should be relevant, informative and encourage reading, saving, or commenting.

Additionaly, you don’t need to post daily, but irregular posting (weeks of silence followed by bursts) makes it harder for LinkedIn to establish distribution patterns.

This is where many professionals benefit from content planning and scheduling tools. Platforms like MeetEdgar help creators maintain a steady posting cadence by organizing evergreen content and ensuring consistent visibility without manual effort every day.

Use the LinkedIn algorithm to your advantage in 2026

The LinkedIn algorithm isn’t something to “game,” but something to work with.
At its core, LinkedIn’s feed is designed to reward content that helps professionals learn, think, and engage in meaningful ways.

When you understand how the algorithm works, the path to getting your content in front of the right people becomes much clearer. To grow on LinkedIn in 2026, focus on relevance over reach, consistent publishing, high-quality content, and genuine engagement.

One common misconception is worth clearing up: using scheduling tools does not hurt your reach. LinkedIn does not penalize scheduled posts. As long as your content is relevant and valuable, scheduled posts perform just as well as those published manually.

For professionals looking to stay consistent without posting in real time every day, tools like MeetEdgar can help you plan, organize, and schedule LinkedIn content in advance (including carousel posts), so you can focus more on quality and less on logistics. Start scheduling!

Join 10,000+ entrepreneurs

Stop doing social media.
Let Edgar do it for you.

Start your free trial
arrow_forward_ios

Subscribe to our newsletter

Get Actionable Social Media Advice (And Not Too Much of It!)
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Are you
ready to automate your socials?

MeetEdgar is not your typical social media scheduling tool.
Say goodbye to manual scheduling and hello to effortless automation.
Try for Free
Join 10,000+ entrepreneurs

Stop doing social media.
Let MeetEdgar do it for you.

Start your free trial
arrow_forward_ios