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LinkedIn's new LLM gives the highest analytical weight to the first 60 tokens of your content. This means the initial part of your post is more critical than the traditional "hook." Focus on front-loading depth, authority, and specific keywords in the opening sentences to maximize reach.

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Most people post like they're at a dinner party with a captive audience. Instead, imagine showing your content to a stranger on the street. If it wouldn't make them stop and listen, your hook is too weak for the fast-scrolling world of social media.

According to a LinkedIn product head, the algorithm's main virality mechanism is "comment density." It favors posts that spark substantive, multi-reply conversations over those with many superficial comments like "nice post." Marketers should aim to create deep dialogues.

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.

LinkedIn's algorithm prioritizes posts that are quickly saved and shared. By saving your own post and sending it to about 10 contacts within minutes of it going live, you provide positive initial signals that can significantly boost its reach and engagement.

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.

Users decide whether to expand your post based on the combination of the image and the first few lines of text. A common mistake is using an image that only makes sense after reading the full post. Ensure your visual matches the hook to create instant coherence.

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.

The platform's new algorithm actively creates a profile of you based on your bio, headline, company, and industry. Unlike the old system of self-selected keywords, your profile must now be crafted to clearly signal your ICP, credibility, and expertise directly to the LLM for proper content distribution.

With the algorithm's focus on the first 60 tokens, generic "engagement bait" hooks are less effective. LinkedIn's LLM now favors signals of authority and credibility. Start posts with specific metrics, depth, and a clear point of view to capture algorithmic preference over vague stories.

Poorly performing posts can often be salvaged by rewriting the hook. The goal is to entice the reader to click "...see more," an invisible engagement metric that signals interest to the algorithm. Story-based or revelation-style openings are particularly effective at this.

The First 60 Tokens of a LinkedIn Post Carry the Most Algorithmic Weight | RiffOn