How does the LinkedIn algorithm decide what to show me?

LinkedIn's algorithm ranks posts by predicted value to each user based on the author's relationship to you, content type, expected engagement, and dwell time signals. Posts from your network with high engagement velocity rank highest. The 2024 vertical video feed runs on a separate TikTok-style interest-based algorithm. Sponsored content is ranked in its own layer.

Why are my LinkedIn posts getting such low reach?

Most low-reach issues trace to one of four causes: posting from a Company Page instead of a personal profile, writing generic content without specific POV, using too many hashtags (over 5), or posting outbound links LinkedIn suppresses. Shifting to personal profiles and writing specific, opinionated content typically doubles or triples reach within weeks.

Does LinkedIn really suppress external links?

Yes. Posts with links to external sites typically see 20 to 40 percent lower reach than similar posts without links. The common workaround is posting the main content natively and putting the link in the first comment. This recovers most of the lost reach while still driving traffic to outside sources.

How does the LinkedIn algorithm weight comments versus likes?

Comments weigh far heavier than likes. A single substantive comment often counts for more than 10 likes in algorithmic ranking. Reshares with added commentary count even higher. Early-hour comment velocity matters most, since LinkedIn decides whether to extend distribution based on engagement in the first 30 to 90 minutes after posting.

How Does the LinkedIn Algorithm Work in 2026?

The LinkedIn algorithm is the ranking system that decides which posts appear in each user's feed, in what order, and how widely they distribute. In 2026 the algorithm favors personal profile posts, specific opinion content, vertical video, and comments over likes. Understanding the signal structure is the difference between posts that reach 100 people and posts that reach 50,000.

LinkedIn has published official guidance on algorithm signals several times, and the broad structure is well documented. This guide explains how ranking actually works in practice and the tactical implications for creators and marketers.

How LinkedIn Ranking Works

Every post goes through a multi-stage process:

Spam filter. LinkedIn checks for policy violations, spammy patterns, and low-quality signals.
Low-quality classifier. A second filter screens for content LinkedIn deems low-value.
Initial distribution. The post is shown to a small subset of the author's network to test engagement.
Engagement measurement. The algorithm measures dwell time, comments, reactions, and reshares in the first 30 to 90 minutes.
Extended distribution. Posts with strong early engagement get shown to broader audiences; weak posts stop spreading.

This is why the first hour after posting matters so much. Engagement in that window decides whether a post reaches 200 people or 20,000.

Signals the LinkedIn Algorithm Weighs

Author Relationship

Your first-degree connections are most likely to see your posts. Second-degree connections see posts when engagement is strong. Third-degree and beyond see posts only when virality signals are high.

Content Type

Rough reach hierarchy in 2026:

Vertical video (highest reach, separate feed boost)
Personal commentary with no media
PDF carousels
Native photos
Outbound link posts (lowest reach)

Engagement Velocity

Early-hour comments and reactions matter more than total engagement. A post with 20 comments in the first hour will often outperform a post with 100 comments over three days.

Dwell Time

How long users spend reading a post. Longer dwell time signals higher value. This favors posts that reward reading to the end (punchline, insight, specific detail) over surface-level content.

Comment Quality

LinkedIn has historically disclosed that substantive comments (multi-sentence) outweigh single-emoji or one-word replies. This has been confirmed repeatedly in official LinkedIn creator communications.

Topical Relevance

LinkedIn classifies posts into topics (engineering, marketing, finance, etc.) and shows them to users with matching interests. Specific, topic-focused content outperforms generic posts.

What the Algorithm Deprioritizes

Per LinkedIn's own transparency communications and independent 2024 and 2025 research:

Outbound links (20 to 40 percent reach penalty)
Engagement-bait ("Comment yes if you agree")
Pod-driven fake engagement (LinkedIn actively detects engagement pods)
Hashtag stuffing (more than 5 hashtags)
Repetitive patterns (identical post structures across accounts)
Company Page posts (typically 1 to 3 percent of follower reach)

The Vertical Video Algorithm

LinkedIn's vertical video feed, launched in 2024, runs on a partially separate ranking system closer to TikTok's For You Page mechanics. It is:

Interest-based more than connection-based
Heavy-weighted on watch-through rate
Driven by early viewer shares and reshares
Less dependent on the author's follower count

This creates a legitimate path to reach beyond your network through video, which did not exist on LinkedIn before 2024.

Why Personal Profiles Beat Company Pages

Company Page reach averages 1 to 3 percent of followers per Hootsuite's 2025 Social Trends Report. Personal profile reach often hits 20 to 50 percent of followers on strong content.

The structural reason: LinkedIn explicitly wants to become a content creator destination, which means pushing personal voices harder. Company Pages remain useful for credibility, job posts, and ads, but are a poor primary organic growth surface.

Practical Algorithm Optimization

Post from personal profiles, not Company Pages.
Write specific opinions, not generic advice.
Use 3 to 5 hashtags maximum.
Put links in the first comment, not the main post.
Reply to early comments within 30 to 60 minutes.
Post consistently at the same times.
Mix vertical video, carousels, and text.
Comment substantively on 5 to 10 posts per day from others in your space.

How Time of Day Affects Reach

The algorithm's first-hour engagement measurement makes posting time significant. Best times vary by audience but generally:

Weekdays 7 to 10 AM local time
Tuesday through Thursday outperform Monday and Friday
Weekends typically see lower reach for professional content

Post when your specific audience is online, not just when "LinkedIn is active."

The Role of Commenting on Others

LinkedIn growth is not purely about your own posts. Commenting substantively on relevant posts:

Drives profile visits to your page
Builds visibility with the post author's network
Signals to the algorithm that you are an active contributor
Often generates more followers than your own posting does

Most underrated growth tactic on LinkedIn in 2026.

What About Algorithm Manipulation?

LinkedIn actively detects and penalizes:

Engagement pods (coordinated likes and comments)
Bot-driven engagement
Sockpuppet accounts supporting a main profile
Scheduled mass-commenting tools

Detection has gotten better year over year. Fake engagement strategies that worked in 2020 now risk account-level penalties.

The Short Version

The LinkedIn algorithm in 2026 rewards personal posts, specific opinions, dwell time, early-hour engagement, and substantive commenting. It penalizes Company Page broadcasts, outbound links, engagement-bait, and fake engagement patterns. Posting consistently from a personal profile with specific, opinionated content and genuine community engagement is the durable path to reach. Algorithm shortcuts do not work; content and community do.