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Reading: DoubleVerify Launches Pre-Screen Safety & Suitability Solution For Google’s Search Partner Network
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B&T > Advertising > DoubleVerify Launches Pre-Screen Safety & Suitability Solution For Google’s Search Partner Network
Advertising

DoubleVerify Launches Pre-Screen Safety & Suitability Solution For Google’s Search Partner Network

Staff Writers
Published on: 9th May 2025 at 9:28 AM
Edited by Staff Writers
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2 Min Read
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DoubleVerify has announced the launch of AI-powered pre-bid controls for Google’s Search Partner Network (SPN). The launch gives advertisers greater control, confidence, and protection when extending their campaign reach on SPN inventory, beyond Google.

Google’s SPN allows brands to scale their advertising across non-Google third-party websites, increasing reach. With this new release, brands can apply DV’s independent, trusted brand safety and suitability protections to SPN inventory, enabling informed decisions to avoid content that does not align with their brand preferences––safeguarding brand equity, improving media quality, and maximising advertising ROI.

“As advertisers seek greater performance and transparency across every digital channel, our mission is to provide scalable solutions that uphold brand reputation and improve performance,” said Steven Woolway, EVP, business development, DoubleVerify. “With this launch, DV is extending our industry-leading protections to an important piece of Google’s ecosystem—empowering advertisers to make smarter, safer, and more efficient media investments”.

With this release, advertisers will benefit from:

  • Rely on Trusted Coverage: Gain confidence from independent, third-party protection across SPN ad placements.
  • Maximise Media Performance: Boost campaign ROI by proactively avoiding SPN domains that don’t align with an advertiser’s brand suitability criteria.
  • Improve Operational Efficiency: The ability to automate SPN inventory classification and avoidance reduces manual efforts and ensures ongoing protection.

DV’s proprietary, AI-powered Universal Content Intelligence classification engine analyses video, image, audio, speech, and text elements to deliver superior content classifications at scale.

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Aimee Edwards
By Aimee Edwards
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Aimee Edwards is a journalist at B&T, reporting across media, advertising, and the broader cultural forces shaping both. Her reporting covers the worlds of sport, politics, and entertainment, with a particular focus on how marketing intersects with cultural influence and social impact. Aimee is also a self-published author with a passion for storytelling around mental health, DE&I, sport, and the environment. Prior to joining B&T, she worked as a media researcher, leading projects on media trends and gender representation—most notably a deep dive into the visibility of female voices in sports media. 

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