To maximize visibility and build relationships, you must give more than you take on LinkedIn. For every piece of content you post, you should engage (like or comment) on ten other people's posts. This not only satisfies the algorithm but also makes you matter to prospects before you ever ask for anything.

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.

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.

Contrary to the common etiquette belief that liking your own post is 'cheesy,' doing so signals the LinkedIn algorithm to share it with a portion of your network. This simple action provides an immediate boost in visibility and reach that you would otherwise miss.

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.

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.

When platforms like LinkedIn track specific metrics like 'saves,' explicitly asking users to 'Save this post' in your copy leads to a measurable increase in that action. This simple directive gives a clear signal to both the user and the platform's algorithm, improving content performance.

Pay attention to the metrics LinkedIn emphasizes, as they reveal what the algorithm currently values. The addition of 'sends' and 'saves' is a direct signal to create content that people will share in DMs or save for later, such as practical guides or highly relatable memes.

LinkedIn's algorithm heavily weights when a user saves a post, ranking it higher than a 'like'. This action reportedly provides an 80% 'return on effort,' making it significantly more likely your future content will appear at the top of that user's feed.