Don't blame the algorithm for poor engagement. Truly compelling content, like a major company announcement, still breaks through and achieves massive reach. The platform rewards exceptional content, not just consistent posting.

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's algorithm now favors comments. By commenting with value-add content (like memes or insights) on popular posts, a company page can gain more impressions and followers than from its own feed posts. This "post within a post" strategy is highly effective for growth.

A Buffer analysis of two million posts shows a non-linear return on posting frequency. While posting 2-5 times weekly adds 1,000 views to future posts, increasing frequency to 6-10 times quintuples that boost to over 5,000 additional impressions per post, demonstrating a significant algorithmic reward for high activity.

While LinkedIn's native scheduling tool is safer than third-party apps, posts scheduled through it may receive less engagement. The platform seems to reward users who are actively using the site around the time their content is published, suggesting a correlation between real-time activity and algorithmic reach.

Simply posting content and leaving—or 'posting and ghosting'—is ineffective. LinkedIn's algorithm prioritizes posts that generate conversation. Engaging with comments, especially within the first couple of hours, is critical for signaling value and maximizing your content's reach.

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.