LinkedIn Adds 'AI Slop' Reporting to Combat Generated Content

LinkedIn has introduced a reporting feature that allows users to flag posts they suspect are AI-generated, marking a significant shift in how the platform manages content quality. The new "seems like AI slop" reporting option aims to reduce the proliferation of low-effort, machine-generated posts that have increasingly cluttered users' feeds.

The platform has also removed its "rewrite this" suggestion feature, which had encouraged users to run their drafts through AI tools before posting. These changes signal LinkedIn's intent to prioritize human-authored content and improve the overall user experience.

Why it matters

For businesses that have relied on copy-pasting ChatGPT output to maintain a LinkedIn presence, this algorithm update represents a material risk to organic reach. Conversely, companies that have continued investing in authentic, human-created content now have a competitive advantage as AI-generated posts face increased scrutiny and potential suppression. The change could fundamentally reshape content strategy for B2B marketing teams.

The business impact

Tony Restell, founder of B2B social media agency Social Hire, explained the practical implications: "This is very beneficial for businesses that have continued writing their own posts, or that have not relied too heavily on AI. It should clear the homepage feed for those who are genuinely adding value, so should mean there's greater visibility to be had for those firms who've been making the effort to invest in posting quality LinkedIn content."

The update addresses a growing problem on the platform. AI-generated posts have become so prevalent that they've degraded the user experience, potentially driving professionals away from LinkedIn altogether. When users can't distinguish between genuine human insights and machine-generated text, the platform's value as a networking tool diminishes.

What brands should do now

Companies currently using AI to generate LinkedIn posts should reassess their content strategy immediately. A single well-crafted, authentic post published once or twice weekly will likely generate better engagement and connections than daily AI-generated content that risks being flagged and suppressed.

The key is focusing on genuine human perspective and original insights. If a post could have been written by asking ChatGPT directly, it adds little value to the platform. Users seeking AI-generated information can access those tools themselves—they come to LinkedIn for human expertise and authentic professional connections.

For organizations that have maintained human-authored content strategies, this represents an opportunity to gain visibility as the algorithm clears away lower-quality posts. The reduced competition for attention in users' feeds could translate to improved reach and engagement metrics.

The reporting feature also serves a secondary purpose for LinkedIn: training its own AI systems to recognize machine-generated text. As users flag suspected AI content, the platform builds a dataset to improve automated detection capabilities.

These details were first reported by Inc., with analysis from Suzanne Lucas.