A recent shift in AI-labeling policies on platforms such as YouTube, TikTok, and Meta is intended to filter out low-quality, AI-generated content. For independent consultants, this change also offers a way to surface posts that may lead to genuine buying signals. By examining the labels, spotting the signals, and engaging in a personal manner, you can take advantage of this new opportunity.
How can you tell if a LinkedIn post has passed the AI-slop filter?
There are several indicators that a post has not been flagged as "AI-slop." One clear sign is that the author’s profile contains specific job titles and recent job changes, suggesting they are actively researching or considering a purchase. Secondly, the post's content typically discusses specific industry challenges or product comparisons, which can serve as buying signals. Thirdly, thoughtful comments often drive engagement rather than generic likes, signaling that the community appreciates depth. Finally, some posts may have a Disagree reaction, which allows users to express disagreement without leaving a negative comment, indicating an open and respectful discussion. By focusing on posts with these characteristics, you can filter out the noise that the AI-labeling system has already removed.
How do I create a genuine conversation from a buying-signal post?
Begin by acknowledging the author's point with a brief comment that sounds human and personal. For instance, if a consultant shares a case study on a new CRM, you might say, “I’ve seen similar results when integrating X with Y—did you notice any impact on lead velocity?” This approach shows your engagement and offers a relevant perspective.
Use the Disagree reaction judiciously, only when you genuinely disagree with a claim, and always pair it with a constructive explanation to maintain civility. After you comment, be ready to monitor replies. If the author or other users ask for clarification, respond quickly and succinctly. This approach keeps the discussion going in a natural way.
When the discussion has progressed, send a private message that references your public comment. Keep the message brief, mentioning the point you made, and ask one open-ended question. This technique can transition a public interaction into a potential LinkedIn recommendation request or a scheduled call.
The changes in AI-labeling policies also influence how content is promoted. Studies indicate that after labeling, the spread of misinformation drops by a low-single-digit percentage. Plus, platforms like YouTube remove about 58% of AI-flagged videos after human review, while TikTok’s removal rate is approximately 73%. These statistics suggest that posts which survive the filter are likely not tainted by mass-produced AI content, helping you detect genuine intent.
The process is straightforward: scan your feed, flag posts that feature clear buying signals and no AI-slop indicator, craft a concise comment that adds value, use the Disagree reaction only when necessary, and follow up privately if the conversation appears promising. By applying this strategy, you can transform the platform's AI-labeling into a tactical advantage, fostering relationships with prospects who are genuinely ready to engage.
Keep scanning
The next useful conversation may be outside your feed.