Tracking the flood of AI-generated junk content in advertising. Who's making it, who's funding it, and how much of the internet it's eating.
How saturated is advertising inventory with AI-generated junk? This index tracks it across platforms, monthly.
How often ads land next to AI-generated junk
Unauthorized trademark use and fake endorsements
Real engagement vs. manufactured impressions
Platform-level scoring data will be published once baseline data collection is complete.
Updated monthly. Higher scores indicate greater AI slop saturation in monetized inventory.
View methodology →Three angles on the same problem: AI-generated content is degrading advertising inventory.
Where are ads showing up next to AI-generated junk? We measure how often brands end up beside content that damages their reputation.
Fake endorsements, stolen trademarks, and brand names used without permission in AI-generated content farms and recommendation spam.
Is anyone actually reading this, or are they just being farmed for impressions? We measure real engagement versus manufactured attention.
Highlighted studies and data analyses
An empirical analysis of the rapid growth of synthetic children's content on YouTube, its characteristics, and implications for child safety.
Measuring the rapid infiltration of AI-generated images across Pinterest's visual discovery platform and its impact on content quality.
Documenting the scale and sophistication of synthetic product reviews across major e-commerce and review platforms.
The inaugural monthly AI Slop Index report measuring synthetic content saturation across digital platforms.
Most recent research and analysis
An empirical analysis of the rapid growth of synthetic children's content on YouTube, its characteristics, and implications for child safety.
Measuring the rapid infiltration of AI-generated images across Pinterest's visual discovery platform and its impact on content quality.
An analysis of AI-generated posts, comments, and engagement patterns on Reddit, and how synthetic participation in monetized Reddit communities affects the quality of advertising inventory on the platform.
Documenting the scale and sophistication of synthetic product reviews across major e-commerce and review platforms.
An analysis of how the growing volume of AI-generated content in platform feeds is fragmenting human attention, reducing content engagement quality, and diminishing the value of advertising impressions served in these environments.
The inaugural monthly AI Slop Index report measuring synthetic content saturation across digital platforms.
Classified categories of low-integrity AI-generated advertising inventory
AI-generated health and medical content presenting unverified claims as authoritative guidance, exploiting health anxiety for monetization.
AI-generated financial advice, crypto promotions, and investment scams designed to exploit financial anxiety for profit.
AI-generated children's content designed to exploit young audiences through algorithmically optimized, mass-produced videos and media.
AI-scaled website networks designed purely to capture programmatic advertising revenue with minimal content value, representing the industrialization of the MFA model.
Automated content channels that produce videos entirely without human on-camera presence, powered by AI generation pipelines.
AI-generated visual content flooding Pinterest's discovery platform with synthetic images that cannot be recreated or purchased.
Networks of AI-generated product reviews across e-commerce and review platforms designed to manipulate purchasing decisions.
Interconnected networks of AI-generated websites designed to capture search engine traffic through mass-produced, low-quality articles.
AI Slop is mass-produced content built to harvest ad impressions, not to be useful to anyone reading it. These content environments use AI to churn out spammy, scammy, or trademark-exploiting material at industrial scale — and they're growing fast.
Not all AI-generated content is slop. AiSlopData.org focuses on the monetized garbage — the stuff that degrades ad inventory, wastes advertiser budgets, and pollutes the internet.
About our mission →Every finding we publish comes with the methodology, data sources, confidence levels, and limitations. No black boxes. If we're not sure about something, we say so.