The news: Snapchat and LinkedIn joined a growing group of platforms that are actively demoting AI slop or giving users tools to flag it.

• Snapchat won’t recommend “wholly AI-generated videos” in Spotlight to promote discovery of authentic content.
• LinkedIn added a “Seems like AI slop” reporting option for users as it expands efforts to stop automated comments, detect low-quality AI content, and reduce the presence of AI slop in feeds.
• Substack also recently added an AI detection tool on Substack, and Reddit started removing spammy content meant to game genAI engines.

What it means: Platforms are simultaneously competing with one another to launch AI creation tools and fighting to maintain quality control over content outputs.

• If platforms reward originality over volume, AI-assisted content factories could lose reach. At the same time, distinctive brand voices, creator partnerships, and unique creative become more valuable.
• Organic engagement may depend on signs of human authorship and authenticity rather than production efficiency.

Simply publishing more AI-generated posts is unlikely to translate directly into greater visibility as more platforms treat generic AI content as low quality. This means AI’s biggest value could lie in its ability to speed up audience research, creation of content variations, translations and captions, and ideation, while adding in human insights and originality.

Recommendations for brands: If feed algorithms continue to deprioritize content that appears generic or formulaic, even if it technically complies with policies, teams may need to focus more on original reporting, opinions, posts, and creator perspectives.

• Monitor organic performance for signs that AI-heavy content is losing distribution as platforms refine their recommendation systems.
• Build content around proprietary assets like customer stories, internal expertise, and original audience research to create content that can surface prominently in feeds.

Remember that AI detectors may not be fully accurate and users labeling AI content could be misinformed. Prepare to dispute incorrect AI labeling, clearly label brand use to build trust, and weigh the benefits of AI-enabled content creation and deployment against the risks of surfacing lower in feeds.

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