The LinkedIn feed's algorithm has shifted. Instead of a post's success being determined by engagement in the first hour, content can now gain significant traction 24 to 48 hours later as the platform serves it to new, relevant interest groups. This favors consistency over perfect timing.

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.

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.

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.

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.

LinkedIn's recent massive algorithm change shifts the platform towards an AI-driven, interest-based content feed. This means marketers can no longer rely solely on their existing network for reach and should anticipate engagement volatility as content is shown to a broader audience based on topical relevance.

LinkedIn's '360 brew' algorithm now prioritizes consistency across your profile, content, and messaging over simple engagement metrics. It boosts content to users you've recently engaged with, shifting the focus from broad virality to targeted, value-driven interactions, giving sellers more control over who sees their posts.

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.