How does the LinkedIn algorithm work in 2026?

If your LinkedIn reach dropped in 2025 or 2026, you're not alone. According to Richard van der Blom's analysis of 1.8 million posts, average visibility dropped 47% year-over-year. Engagement fell 39%. Follower growth declined 42%.

The cause isn't mysterious. LinkedIn replaced its entire content ranking infrastructure with a single AI system called 360Brew -- a 150-billion-parameter decoder-only transformer trained specifically on LinkedIn's networking data. Where the old system used separate models for feed ranking, job recommendations, and search, 360Brew handles everything as one unified model.

The old algorithm rewarded engagement velocity -- posts that generated a flood of likes and comments in the first hour were amplified. 360Brew rewards meaning. It reads and interprets the semantic content of your posts, analyzes your profile, evaluates your posting history, and matches your content to the professionals most likely to find it genuinely relevant.

LinkedIn's own data showed that 60% of high-engagement posts were using manipulation tactics. Their response was to rebuild everything from scratch.

360Brew performs what experts call a "profile-content audition." It cross-references what you post against your headline, About section, and work experience. This is the most important change in the 2026 algorithm.

Your headline is your strongest expertise signal. It follows your name everywhere -- in the feed, in search results, and in comments. A headline that reads "Sales Manager at XYZ Corp" tells the algorithm nothing about your expertise. A headline like "B2B Sales Leader | Helping SaaS Companies Shorten Enterprise Sales Cycles" gives 360Brew clear expertise tags to match against.

Your About section is the evidence file the algorithm uses to determine whether your content should be shown to people who care about your topic. According to LinkedIn data, posts from individuals consistently outperform branded content by 3-5x in engagement -- but only when the individual's profile clearly establishes their expertise.

If your profile is vague or generic, even brilliant posts will struggle for distribution. 360Brew needs approximately 90 days of consistent posting within a defined niche before it reliably categorizes your expertise and expands your reach.

360Brew actively detects and deprioritizes several patterns:

Engagement pods. LinkedIn confirmed that its systems work to make engagement pods ineffective and to detect third-party tools generating artificial comment activity. If your engagement comes primarily from a small, recurring group of accounts, 360Brew flags the pattern.

Generic AI-generated content. Posts that follow predictable templates, lack original perspective, and read as algorithmically assembled are deprioritized. 360Brew uses lexical diversity analysis -- human writers naturally vary vocabulary, sentence structure, and rhythm, while AI tends to fall into repetitive patterns. If your content could have been written by anyone (or any AI), the algorithm treats it accordingly.

Engagement bait. Phrases like "Comment YES if you agree" or "Like if you're a leader" are actively penalized. LinkedIn flagged these patterns as manipulation tactics.

Topic inconsistency. Posting about leadership on Monday, coding on Tuesday, and workplace wellness on Wednesday confuses the algorithm about who would find your content relevant. When the system can't categorize your expertise, it struggles to identify your natural audience.

External links in the post body. Posts with external links receive roughly 40% less initial reach. LinkedIn wants to keep users on the platform. The workaround: post native content first, add links in the first comment after engagement begins.

The practitioners seeing the best results in 2026 aren't posting more -- they're posting more strategically:

Define 2-3 content pillars and post consistently within them. This is the single most important tactical change. 360Brew needs to categorize your expertise, and scattered topics make that impossible.

Align your profile with your content. Your headline, About section, and recent experience should reinforce the same expertise your posts demonstrate. Think of your profile as a landing page for the algorithm, not just for human visitors.

Comment strategically. LinkedIn now shows impression data for comments, meaning thoughtful comments function like micro-posts. Spending 15-20 minutes daily leaving substantive comments on posts in your niche reinforces your expertise signals and extends your visibility. Aim for 3+ sentences per comment.

Post 2-5 times per week. Buffer's analysis of 4.8 million posts found that moving from 1 post per week to 2-5 significantly improves distribution. The algorithm recognizes you as "active" at this frequency. Going beyond 5 posts per week offers diminishing returns unless you can maintain quality.

Post when your audience is active. The best times are Tuesday through Thursday, 10 AM to noon in your audience's timezone. The first 60-90 minutes after posting -- the "golden hour" -- determine roughly 70% of your post's total reach. Post when you can respond to early comments, because your replies trigger additional distribution.

Use AI tools wisely. AI tools can help with drafting and ideation, but posts generated without your specific context, opinions, and lived experience trigger 360Brew's generic-content filters. The most effective approach is to feed AI tools your raw thinking -- meeting notes, voice memos, rough ideas -- and let them help you articulate it clearly while maintaining your authentic voice. Tools like Amelia that learn your writing style over time produce output that sounds like you, not like a template.