LinkedIn has disclosed that nearly 40% of posts generated on its platform are classified as AI slop, a term they use to describe low-quality content believed to be created solely by artificial intelligence. The platform has rolled out a button to flag suspected posts so they can be hidden from feeds, which in turn helps improve its detection capabilities. Alongside this, a Proofread assistant has been implemented to offer grammar and tone suggestions prior to publishing posts. This is positioned to enhance the quality of member-written posts while retaining their unique voice. Additionally, LinkedIn has introduced an AI-powered intent signals dashboard that consolidates changes in jobs, skills, and content consumption to highlight prospects who are currently looking into pertinent topics. This becomes important for independent consultants who leverage LinkedIn to establish their reputation, as they need to sift through both meaningful discussions and noise.
A simple three-step framework can quickly help determine whether a post is worth engaging with: check for the AI slop button; be mindful of engagement metrics; and evaluate the author’s profile credibility. First, if a post is flagged, you can safely skip it, as it’s likely to be low-quality or spammy. Second, look for the post’s engagement and the LinkedIn intent signals it activates—posts that generate commentary, shares, or reactions related to skills often denote genuine professional interest. Third, reviewing the author’s profile is important: those who have a history of insightful commentary, a well-defined niche, and a regular posting schedule generally indicate a reliable source. When all three aspects concur, the conversation is likely worthy of participation; when they diverge, it’s best to pass.
What quick test can I use to decide if a LinkedIn post is worth my time?
The initial step is to determine if the post has been marked as AI slop. This button is located in the three-dot menu and, when clicked, removes the post from your feed. If you notice the flag, the content is likely a generic AI-generated draft that does not provide professional insight. If unflagged, move on to the next check.
Next, consider the engagement trends. Research from Pangram and Originality AI found that AI-generated long-form posts have about 45% less engagement compared to those authored by humans. If the post receives a significant number of comments, likes, or shares—especially from users who have just updated their skills or posted about similar topics—this indicates the conversation is connecting with its intended audience. Lastly, assess the author’s credibility: a consultant sharing consistent case studies, industry data, and actionable guidance is more likely to foster valuable discussion than someone who sporadically posts AI-generated material.
How can I turn a weekly LinkedIn review into a habit that filters out AI-generated clutter?
LinkedIn’s weekly LinkedIn review tool provides a summary of user activity, showing trends in engagement and intent signals. Set aside ten minutes on Fridays to analyze the report, concentrating on the posts with the most interaction and intent signals relating to your niche. Adjust your following list based on that analysis: unfollow accounts that predominantly post flagged content or those who receive little engagement, while adding those producing valuable, intent-laden conversations. With time, this practice will help trim AI noise from your feed and focus your network on discussions that hold real significance.
Following this method also reveals potential networking automation risks. The Proofread assistant, for instance, can produce a similar tone if used excessively, causing your posts to fade into the crowd. Similarly, the flagging system may suppress credible AI-assisted drafts with valuable insights, especially if flagged for merely looking out of the ordinary. By recognizing these risks and balancing automated tools with personal discernment, you can retain authenticity while benefiting from AI-enhanced clarity.
Thus, by applying a quick flag test, relying on engagement metrics, and adhering to a consistent weekly review, independent consultants can effectively manage their LinkedIn interactions to ensure they remain engaged with conversations that genuinely reflect professional interests.
Keep scanning
The next useful conversation may be outside your feed.