IAS launches Low-Quality GenAI Avoidance tool with performance data from 1 billion impressions
By
Luis Rijo
Slow-proofed and worth the wait. Worth its weight in flour.
Summary
Integral Ad Science (IAS) has moved its Low-Quality GenAI Avoidance feature from open beta to general availability, a tool designed to help advertisers avoid placing ads alongside low-quality AI-generated content. The announcement includes performance data from over one billion impressions, showing a 49% higher success rate and 24% lower cost per success when using quality inventory. This marks a significant industry effort to quantify the financial impact of advertising alongside mass-produced AI content, as the volume of low-quality AI-generated material continues to grow in the programmatic advertising ecosystem.
Key quotes
· 3 pulledThe announcement, published May 29, 2026, comes with performance data drawn from over one billion impressions and marks one of the more concrete attempts by a verification vendor to quantify the cost of advertising alongside mass-produced AI content.
IAS last week moved its Low-Quality GenAI Avoidance feature out of open beta and into general availability, completing a product arc that began in July 2025.
The timing is not coincidental. The volume of low-quality AI-gen content continues to rise, making verification tools increasingly critical for brand safety.
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