DoubleVerify Launches DV AI Verification to Manage AI Agent Interactions and Safeguard Ad Quality

John Brown

Member
AI Verification.jpg

DoubleVerify today introduced DV AI Verification ™, a new offering designed to help advertisers detect and manage interactions with AI agents and avoid low-quality, AI-generated content that can undermine campaign performance.

Key Features of DV AI Verification™​

  • The suite includes Agent ID Measurement, which allows advertisers to identify and analyze ad engagements with AI-powered chatbots, crawlers and other agentic traffic.
  • It also features AI SlopStopper™ for Open Web, a tool built to avoid low-quality, AI-generated content across programmatic inventory offering both pre-bid avoidance and post-bid reporting.
  • A planned extension AI SlopStopper for Social is scheduled for early 2026, which will bring similar detection capabilities to leading social media platforms.
  • The new product is part of DV's broader Media AdVantage™ Platform, which combines media verification, ad-performance optimization and measurement.

Why This Matters for Advertisers​

  • The advertising ecosystem is shifting: with the rise of AI-agents (declared or undeclared) and a flood of AI-generated content, brands face new threats around brand suitability, ad fraud and impression quality.
  • By offering tools to identify agentic interactions and filter out low-quality content, DoubleVerify enables advertisers to protect their media-buying investments, maintain trust, and improve ROI.
  • As programmatic, open web and social channels broaden with more AI-driven inventory and bot interactions, the ability to manage this new risk surface becomes essential for media buyers and ad-ops teams.

Considerations for Implementation​

  • Advertisers should map out which channels and inventory types they plan to monitor using DV AI Verification understanding where AI agents and AI-generated content are most likely to appear.
  • Governance and measurement frameworks need updating: metrics such as agent-interaction rate, filtering ratio, cost savings from avoiding low-quality placements should be defined.
  • Technical integration: Advertisers must ensure that DV's new modules (Agent ID Measurement, AI SlopStopper) can feed into their existing analytics stack and feed cross-channel reporting.
  • Change-management: As filtering and avoidance logic becomes more sophisticated, teams may need to adjust media-planning practices—truthing of inventory, revision of risk profiles and vendor access.
  • Future roadmap: With the social-media extension planned for 2026, organizations should monitor rollout timelines and ensure they are prepared to extend coverage as the offering evolves.
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