For new creators, follower count is less relevant. The algorithm now benchmarks your content's performance within a "designated cohort" of similar users and topics. This means a creator with 50 followers can achieve the reach of one with 50,000 if they effectively engage their specific niche audience.
LinkedIn's algorithm has shifted. It no longer penalizes content you ignore (a negative signal). Instead, it exclusively uses positive signals—what you actively engage with—to determine your feed, making intentional engagement more critical than ever for shaping your content visibility.
Previously, posting more than once in an 18-hour window would harm your reach. This is no longer the case. The current algorithm supports "content velocity," allowing creators and pages to post up to three times per day without cannibalizing engagement, rewarding consistent, high-frequency output.
To avoid algorithm suppression, don't post links in the comments. Instead, publish your post without a link, wait 15 minutes for initial engagement, then edit the post to add your link. You can change up to 14% of the character count without penalty, a strategy called the "14% rule".
While LinkedIn can suppress posts with a single external link, creating a "resource post" with 4-5 curated links (e.g., a Miro board, article roundup) is rewarded by the algorithm. These posts generate high-value signals like saves and shares, leading to better reach than standard posts.
LinkedIn's new language model gives the most analytical weight to the first ~60 tokens (roughly 30-40 words) of your content. This means front-loading your post with depth, authority, and specific metrics in the hook is now more critical for algorithmic success than clickbait-style openings.
With the new "positive signal only" model, every like and comment trains LinkedIn's LLM. To maximize reach with your target audience, you must be hyper-intentional, engaging *only* with content from your Ideal Customer Profile (ICP). This "cohort seeding" directly influences who the algorithm shows your posts to.
LinkedIn now automatically profiles you using an LLM that analyzes your bio, title, and industry. Unlike the old system of self-selected keywords, you must now craft your bio with machine-readability in mind, clearly stating your ICP, industry, and credibility metrics for the algorithm to categorize you correctly.