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.

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.

Contrary to a popular myth among marketers, a Senior Director of Product at LinkedIn stated that adding an external link to a post does not inherently reduce its reach. Poor performance is caused by low-value, self-serving content that users ignore, not the link itself. Valuable content with a relevant link can perform very well.

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.

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".

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.

LinkedIn now lets users see how many people save a post or send it in a private DM. These are strong signals to the platform's algorithm, indicating high-quality content. Focusing on creating content that encourages these actions can significantly boost organic circulation beyond simple likes and comments.