Follower Count No Longer Rules LinkedIn: Daniel Priestley Explains the AI Shift

In a recent LinkedIn post, Daniel Priestley discusses the significant evolution of LinkedIn’s algorithm, arguing that the long-held emphasis on follower count has diminished in importance. Priestley, who recently surpassed 150,000 followers himself, contends that a major algorithm change in March has fundamentally altered how content is amplified on the platform.

He explains that the platform’s approach has shifted from a network-centric view to an engagement-driven model, and now, to an AI-powered semantic understanding of content. As Daniel Priestley notes:

“The engagement algorithm didn’t really know what you were saying, it just knew that it was popular.”

The Rise of the Semantic Algorithm

Priestley highlights that the March update introduced a new “semantic algorithm powered by AI” that aims to understand the actual meaning of posts and identify the most relevant audience for them. He draws an analogy to illustrate this shift:

“Imagine the difference between a dating app that shows your profile to random people and a professional matchmaker who gets to know you and makes a thoughtful introduction,” Priestley writes, underscoring the move towards more targeted content distribution.

This fundamental change, according to Priestley, has several key implications for users and their content strategies on the platform.

Key Implications of the Algorithm Change

Daniel Priestley outlines several critical shifts stemming from the new algorithm:

• Diminished Follower Count Impact: “Follower count doesn’t dictate reach like it once did. A fresh new account could get 100,000 views per week if it’s great content,” Priestley argues. This suggests that the quality and relevance of content now outweigh the sheer number of followers a user possesses.
• Reduced Effectiveness of Engagement Tactics: Strategies focused on artificially boosting engagement, such as engagement groups, are likely to become less effective. The AI’s ability to understand content meaning reduces the impact of superficial popularity metrics.
• Higher Quality, Lower Quantity Audience: While many users might experience fewer overall views, Priestley anticipates that these views will come from a more relevant and engaged audience. “Most people will get fewer views but a higher quality audience who are right for what you’re talking about,” he states.
• Preference for Longer Content: In contrast to previous trends, Priestley suggests that longer, more in-depth posts are now favored for amplification. “Longer posts will be more likely to be read. Shorter, pithy posts will be unlike to be amplified,” he points out.

Rethinking LinkedIn Strategy

Priestley concludes his analysis by reiterating that while accumulating followers is a milestone, its intrinsic value has decreased without a concurrent commitment to sharing valuable content. As he puts it:

“So while it’s fun to have hit 150,000 followers, it doesn’t give me any major advantages if I’m not sharing something of value.”

His insights suggest a need for creators on LinkedIn to adapt their strategies, focusing on producing high-quality, semantically relevant content that genuinely resonates with a specific audience, rather than chasing vanity metrics like follower count or broad engagement.