DoubleVerify launches AI tools to cut news blocklisting by 42%
DoubleVerify has introduced three AI-powered suitability categories—Sensitive Breaking News, Current Events, and Opinion & Editorial—designed to help advertisers target news inventory more effectively. The company claims these tools can reduce news blocklisting by up to 42% for advertising clients.
Key Takeaways
- New AI classification categories can reduce news site blocklisting by up to 42% for existing clients.
- Internal data shows news content drives 16% higher engagement compared to non-news environments.
- Impression volume for DV advertisers on major news sites surged 58% year-over-year in H1 2025.
- An AI keyword optimization tool launched earlier this year reduced advertiser keyword lists by an average of 15%.
Why It Matters
This release shifts ad verification from blunt keyword avoidance to nuanced, page-level classification. By automating real-time analysis of breaking news, DoubleVerify enables advertisers to maintain presence on premium news sites during volatile cycles without manual exclusions. For the broader industry, this addresses a critical revenue leak for news publishers who have seen inventories systematically demonetized by legacy sentiment analysis. Success here could stabilize publisher yields and offer brand-safe alternatives to walled-garden social feeds. Watch for whether rival verification firms like IAS or Oracle/Moat adopt similar granular categorization to prevent further advertiser flight from news media.
Additional Context
The push for nuanced news suitability comes at a volatile moment for the verification industry following the October 2024 disbanding of the Global Alliance for Responsible Media (GARM). The industry body shuttered after an antitrust lawsuit from X (formerly Twitter) alleged its brand safety standards functioned as an illegal boycott. Per Forbes (October 2024), GARM's collapse left a vacuum in global standards, forcing individual tech providers like DoubleVerify to redefine suitability without the cover of a collective industry framework. This transition has increased scrutiny on verification algorithms, with publishers and trade groups calling for more transparency into how AI determines what content is deemed 'unsafe.' Simultaneously, legacy news organizations are battling significant signal loss and monetization hurdles. According to Digiday (March 2025), the rise of 'AI slop'—low-quality, mass-produced generative content—has forced verification firms to sharpen their filters to distinguish between reputable journalism and synthetic misinformation. This challenge is compounded by high-stakes election cycles; Basis reported (May 2024) that US political ad spend reached a record $11 billion in 2024, yet many non-political brands proactively blocked news content to avoid adjacency to divisive partisan rhetoric. DoubleVerify's move to refine classification is a direct attempt to claw back that lost inventory by proving that news adjacency is a performance driver rather than a risk. Beyond brand safety, the measurement landscape is also pivotting toward 'attention' as the primary currency for news value. Per an ExchangeWire report (June 2025), the UK's Information Commissioner's Office (ICO) has placed ad tech platforms under increased scrutiny regarding data compliance, pushing buyers toward contextual targeting as third-party cookies provide less reliable signals. DoubleVerify’s emphasis on its AI-powered Universal Content Intelligence engine aligns with this broader shift toward first-party contextual data, which industry analysts suggest will become the standard for valuing premium video and news inventory by 2026.
Read full article at doubleverify.com
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