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IAS Launches New AI-Driven Contextual Category Reporting for Meta Platforms, Maximizing Optimization and Precision for Advertisers

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Integral Ad Science (IAS) has launched new AI-powered contextual category reporting for Meta Platforms, enhancing measurement capabilities across Facebook and Instagram Feed and Reels. The solution expands IAS's Total Media Quality (TMQ) offering, providing advertisers with detailed brand safety and suitability measurement through frame-by-frame analysis of video images, audio, and text. The new reporting aligns with IAS's Content Block List optimization solution and offers over 46 contextual categories available in 34 languages. Key features include greater transparency in content adjacency, measurement reporting parity with Content Block Lists, and expanded categories covering topics like Politics, Natural Disasters, and Religion. This launch builds on IAS's previous developments, including Content Block Lists introduction in October 2024 and misinformation category expansion in April 2024.
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Positive

  • Launch of advanced AI-driven contextual reporting system providing deeper insights for advertisers on Meta platforms
  • Expansion to 46+ contextual categories across 34 languages, offering comprehensive global coverage
  • Integration with existing Total Media Quality (TMQ) system providing frame-by-frame analysis of video content
  • Enhanced brand safety and suitability measurement capabilities aligned with industry standards

Negative

  • None.

News Market Reaction

-0.12%
1 alert
-0.12% News Effect

On the day this news was published, IAS declined 0.12%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

New Reporting Provides Contextual Measurement Beyond Industry Brand Safety and Suitability Categories Aligned to IAS's First-to-Market Optimization Solution for Meta

NEW YORK, June 18, 2025 /PRNewswire/ -- Integral Ad Science (Nasdaq: IAS), a leading global media measurement and optimization platform, today announced the launch of new contextual category reporting for Meta Platforms (Nasdaq: META), expanding measurement reporting across Facebook and Instagram Feed and Reels. This launch demonstrates IAS and Meta's continued collaboration to deliver trusted, independent third-party measurement and optimization tools to support advertisers' brand suitability and performance goals, by aligning measurement reporting to contextual categories available through IAS's first-to-market Content Block List optimization solution for Meta.

"We are closing the loop for advertisers, providing powerful, trusted, AI-driven granular insights across Meta that in turn power optimization solutions to ensure marketers are protecting brand equity, minimizing wasted spend and delivering maximum return on their investment," Integral Ad Science CEO Lisa Utzschneider. "Measurement reporting aligned to contextual categories means greater coverage and performance for our customers' ad campaigns on Meta."

As part of Total Media Quality (TMQ) for Meta, contextual category reporting provides advertisers with the most accurate and actionable brand safety and suitability measurement. TMQ is powered by IAS's multimedia technology, providing unmatched insight into video content through frame-by-frame analysis of video images, audio, and text to provide the most accurate measurement at scale. Advertisers using IAS's Content Block List optimization solution can now access the new contextual category reporting.

With Meta contextual category reporting, advertisers get:

  • Greater transparency: Added insight into the contextual suitability of an ad's content adjacency across Feed and Reels with trusted third-party analysis.
  • Measurement reporting at parity: Aligned with contextual categories offered for IAS's first-to-market Content Block Lists for Meta.
  • Expanded contextual categories: 46+ categories including Politics, Natural Disasters, Religion, Family & Parenting - Kids Content, and more, available globally across 34 languages.

In October 2024, IAS announced the launch of its first-to-market Content Block Lists for Meta, after being selected as the provider to develop this optimization solution. In April 2024, IAS announced the expansion of its Brand Safety and Suitability Measurement product to now include the category of misinformation aligned to industry standards across Facebook and Instagram Feed and Reels. In February 2024, IAS announced the availability of its AI-driven Total Media Quality (TMQ) Brand Safety and Suitability Measurement across Facebook and Instagram Feed and Reels in partnership with Meta to offer advertisers coverage for advanced, industry-leading measurement.

About Integral Ad Science
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Media Contact: press@integralads.com 

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/ias-launches-new-ai-driven-contextual-category-reporting-for-meta-platforms-maximizing-optimization-and-precision-for-advertisers-302484259.html

SOURCE Integral Ad Science, Inc.

FAQ

What new features did IAS launch for Meta Platforms in June 2025?

IAS launched new AI-driven contextual category reporting for Meta Platforms, providing measurement across Facebook and Instagram Feed and Reels, with 46+ categories available in 34 languages.

How does IAS's Total Media Quality (TMQ) analyze content on Meta platforms?

TMQ uses multimedia technology to perform frame-by-frame analysis of video images, audio, and text to provide accurate measurement at scale.

What are the main benefits of IAS's new contextual category reporting for advertisers?

The benefits include greater transparency in content adjacency, measurement reporting parity with Content Block Lists, and expanded contextual categories for enhanced brand safety and suitability measurement.

How many contextual categories does IAS's new reporting system cover for Meta?

The system covers 46+ categories including Politics, Natural Disasters, Religion, Family & Parenting - Kids Content, and more, available globally across 34 languages.

When did IAS first launch Content Block Lists for Meta?

IAS launched its first-to-market Content Block Lists for Meta in October 2024 after being selected as the provider to develop this optimization solution.
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