This may come as a shock, but video ads are not display ads. That means creative QA is not the same either — video has a host of different technical specifications (e.g., aspect ratios, file formats, frame rates, video length) that need to be scrutinized. Finding potentially problematic quickly and at scale is also quite different.

Hunting for a Problematic Moment

With display and native ads, the reason an ad is flagged for anything from Adult Products to Alcohol to Gambling is typically apparent on first glance. And usually the marketplace quality specialist can make a decision how to handle the creative in a second. But the offending frame of a video ad might take 15-20 seconds to appear… Or show up right at the end! If the marketplace quality team has to watch scores of 30-60 second video ads all the way through to find one problematic content moment, that quickly defeats the purpose of streamlining video creative QA.

The Solution: Timestamps and Screenshots

Now when a video ad is flagged by The Media Trust’s AI-powered Ad Categorization engine for one of 50+ proprietary categories, the Creative in Violation UI includes:
  • A timestamp of the first offending instance (e.g., “00:07.2”)
  • A screenshot thumbnail of the exact frame that triggered the violation
  • The category breached (e.g., “Knives,” “Alcohol“)
This enables streamlined collaboration between compliance, monetization, and marketplace quality teams—whether you need to block, report, or request remediation from partners. You’ve got better things to do at your job than scan video ads for potentially problematic content. Let The Media Trust and AI take care of that for you! If you want to learn how to tailor categorization to your specific brand safety, regulatory, or quality goals, fill out the form below.
What is Video Ad Categorization?

Video Ad Categorization is an AI-powered solution that automatically analyzes video advertisements for sensitive, regulated, or policy-violating content. It identifies objectionable material and provides detailed information to help compliance and marketplace quality teams review ads more efficiently.

The platform scans video creatives and, when a violation is detected, provides the timestamp of the first occurrence, a screenshot of the offending frame, and the applicable content category. This eliminates the need to manually watch entire videos to locate problematic content.

Timestamps allow reviewers to jump directly to the moment where a policy violation occurs, significantly reducing manual review time and improving the efficiency of creative quality assurance workflows. 

The solution identifies more than 50 proprietary categories of sensitive and regulated content, including alcohol, gambling, weapons, pharmaceuticals, political advertising, adult content, profanity, deceptive advertising, and other brand safety concerns.

The technology helps organizations identify ads that may violate brand safety standards or downstream partner policies before they are served, reducing the risk of inappropriate advertising, compliance issues, and poor user experiences.

Publishers, ad exchanges, SSPs, DSPs, commerce media networks, mobile app developers, advertisers, and marketplace quality teams benefit from faster creative reviews, improved policy compliance, and more efficient moderation workflows.

By automatically identifying the exact frame where a violation occurs, the solution reduces manual effort, accelerates decision-making, and enables teams to quickly approve, reject, or escalate video creatives.

Yes. In addition to The Media Trust’s proprietary taxonomy, organizations can tailor categorization to meet their own brand safety, regulatory, and marketplace quality requirements, supporting custom policies and workflows.  

As video advertising continues to grow across connected TV (CTV), streaming, mobile, and digital platforms, manually reviewing every creative becomes increasingly impractical. AI-powered automation enables organizations to review large volumes of video ads quickly while maintaining high quality standards. 

AI-powered Video Ad Categorization makes creative QA faster and more precise by pinpointing policy violations with timestamps and screenshots. This allows digital advertising teams to streamline compliance, improve operational efficiency, and maintain high standards for ad quality and brand safety. 

Video ad review is often slowed by the need to manually watch entire ads to find a single policy violation. The Media Trust’s enhanced AI-powered Video Ad Categorization streamlines this process by automatically identifying the exact moment a violation occurs. When a video is flagged, the platform provides a timestamp, screenshot thumbnail, and violation category—such as alcohol, gambling, weapons, or other sensitive content—so compliance and marketplace quality teams can quickly review, remediate, or reject problematic creatives. The feature helps publishers, ad tech platforms, and marketplaces improve creative QA, accelerate policy enforcement, and ensure compliance with brand safety and regulatory requirements at scale.