As television advertising becomes more fragmented across linear, streaming, and programmatic environments, marketers are under increasing pressure to understand performance faster and with fewer resources. ChatEDO is EDO latest response to that challenge, introducing a conversational interface that allows advertising teams to access and analyze TV outcome data in seconds. The launch signals a broader shift in the MarTech ecosystem toward agentic AI tools that remove complexity from advanced measurement.
EDO announced the release of ChatEDO, describing it as the first agentic AI application built to make TV outcomes intelligence faster and more accessible. The new capability enables users to ask questions in natural language and instantly surface insights from EDO Convergent TV database, dramatically reducing the time and effort traditionally required to analyze campaign performance.
The launch comes at a time when research and insights teams are facing tighter budgets and heavier workloads. At the same time, cross platform TV buying has increased expectations for speed, accuracy, and actionable insight. ChatEDO is designed to lower the barrier to entry for advanced measurement, allowing more professionals across brands, agencies, and publishers to work directly with outcomes intelligence rather than relying on a small group of specialists.
“ChatEDO is about meeting our customers where they are,” said Kevin Krim, President and Chief Executive Officer of EDO. “Research and Insights teams are under more pressure than ever and EDO industry leading scale and granularity of data across Convergent TV breaks old dashboard and spreadsheet based workflows. With ChatEDO, we’re making TV outcomes intelligence even more accessible, immediate, and useful.”
ChatEDO is built as a custom agentic interface for AdEngage, EDO Vertical AI powered measurement platform. The system is model agnostic and orchestrates multiple foundation models through Amazon Web Services Bedrock, including models from OpenAI and Anthropic. This approach allows EDO to adopt new model capabilities over time without disrupting accuracy or the user experience.
The intelligence behind ChatEDO is grounded in EDO proprietary execution logic and guardrails, developed over more than a decade of working with large scale TV outcomes data. The platform draws on trillions of impressions, hundreds of millions of airings, and syndicated benchmarks across industries, ensuring that AI generated insights are anchored in real consumer behavior rather than generic language models.
“Our focus wasn’t just on building a chat interface it was building the right intelligence behind it,” said Joshua Lee, Chief Technical Officer and Head of Product at EDO. “We’ve spent years structuring Convergent TV outcomes data so it can be reliably consumed by AI agents. ChatEDO brings that powerful technical foundation to life, reducing friction and dramatically accelerating time to insight for agency teams.”
In internal testing, ChatEDO proved effective at answering common but time consuming questions related to creative impact, competitive activity, share shifts, media weights, and category trends. Queries that once required hours of manual work can now be answered in seconds, even during live client discussions.
By simplifying access to complex data, ChatEDO extends TV outcomes intelligence beyond power users and into the hands of broader teams. For advertisers navigating an environment defined by speed, accountability, and efficiency, ChatEDO represents a meaningful step toward faster decision making and stronger return on investment in convergent TV.
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