Advanced Television

IAS expands Meta Content Block Lists to Threads

May 18, 2026

Integral Ad Science (IAS), a specialist in media quality, has announced the expansion of its AI-driven Meta Content Block List optimisation solution to Threads feed. This expansion of its Social Optimisation solution provides advertisers with greater brand protection and the ability to maximise their return on investment (ROI) on the social platform, which grew to over 400 million monthly active users (MAUs) globally in 2025.

In 2024, IAS was selected by Meta as the first provider to develop an independent optimisation solution for its platforms. This latest expansion to Threads builds on IAS’s deep partnership with Meta, which includes Content Block List optimisation and Total Media Quality (TMQ) Brand Safety and Suitability Measurement for ads on Facebook and Instagram Feed and Reels, and now Threads feed.

“Our AI-driven, content-level analysis empowers advertisers to drive performance and confidently scale their investments on social platforms with trusted, third-party, independent solutions,” said Lisa Utzschneider, CEO of IAS. “We continue to innovate and deepen our relationships with global partners like Meta to provide end-to-end campaign support for advertisers, ensuring they can avoid unsuitable content and maximise their campaign effectiveness.”

The expansion of Content Block Lists to Threads feed provides global advertisers with:

  • Customised Control: Advertisers can align Content Block Lists with their unique brand suitability and contextual goals, including Custom Brand Segments designed for nuanced, brand specific protection, minimising ad waste and reducing brand risk;

  • Automatic Protection: A simple one-time activation provides automatic protection against unsuitable content across Facebook and Instagram Feed, Reels, and now Threads. Advertisers benefit from an automatic hourly refresh of content, ensuring their protection keeps pace with the speed of social media;

  • Industry-Leading AI Classification: Powered by IAS’s proprietary Multimedia Understanding Model (MUM), IAS’s AI technology comprehensively analyses content at a frame-by-frame level, combining image, audio, and text signals for the industry’s most precise and scrutinising classification;

  • Global Support: With support for 34 languages, advertisers can scale their brand safety and suitability strategy globally;

  • Third-Party Validation: With Brand Safety and Suitability Measurement as part of Total Media Quality (TMQ) for Meta, advertisers can validate that their Content Block Lists are working as intended and make in-flight optimisations to drive campaign suitability.

Categories: AI, Articles, Social Media

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