EX.CO, a leading machine learning video technology platform, has launched an agentic AI taxonomy feature, now live across Ziff Davis properties. This innovative solution transforms disorganized video archives into structured, searchable, and monetizable assets, streamlining publisher workflows and boosting revenue potential.
EX.CO launches AI-powered taxonomy for video content categorization.
Eliminates manual tagging with real-time, automated metadata generation.
Enhances searchability and monetization for publishers like Ziff Davis.
Uses Large Language Models to analyze videos across 30+ dimensions.
Integrates with existing editorial taxonomies for seamless adoption.
Improves ad targeting precision and SEO through enriched metadata.
EX.CO’s agentic AI taxonomy solution automates the categorization of video content, replacing time-intensive manual tagging. Utilizing Large Language Models, it analyzes videos frame by frame, generating metadata across over 30 dimensions, including IAB categories, sentiment, tone, safety classification, and contextual relevance. “EX.CO’s AI taxonomy solution has allowed us to deeply tag our extensive video library with a fraction of the necessary time. This gives the product team confidence in the recommendations being powered by this new technology,” said Dan Kamas, senior product manager at Ziff Davis. This automation enhances searchability and aligns content with advertising demand, improving targeting precision and yield.
The solution supports publishers with existing custom taxonomies, enabling seamless integration with editorial structures. Its flexible architecture allows adoption of AI technologies without sacrificing control, bridging legacy systems with advanced automation. “What makes this solution different isn’t just automation—it’s precision and adaptability,” said Tom Pachys, co-founder and CEO at EX.CO. “We’re leveraging LLM models to recreate the publisher’s unique content hierarchy, evolve alongside editorial strategies, and integrate directly into existing CMS and monetization workflows.” This ensures scalability and compatibility across diverse publishing environments.
Live across Ziff Davis properties like PCMag and Mashable, EX.CO’s solution delivers seamless content alignment, improved search and discovery, and smarter curation through enriched metadata. It embeds relevant taxonomy directly into video metadata for instant SEO enrichment, optimizing bid strategies and audience targeting. “We can now tag our vast content library with depth and confidence in a fraction of the time, thanks to this product,” said Dan Kamas, Senior Product Manager at Ziff Davis. The feature, available to EX.CO publisher partners with AI-powered analysis, reduces tagging costs significantly, offering an efficient, scalable solution. “Our new agentic AI taxonomy feature doesn’t just drive revenue—it deepens our value with editorial and video stakeholders who depend on speed and accuracy to do their jobs well,” added Pachys.
EX.CO’s AI taxonomy solution positions publishers to capitalize on their video archives, transforming them into revenue-ready assets while enhancing operational efficiency and content discoverability.
We're EX.CO, the leading multichannel video technology platform empowering media owners to monetize content across all screens—online video, CTV, and DOOH. Our AI-driven solutions include a comprehensive online video platform with video management, monetization, content automation, and personalized video recommendations. For CTV and DOOH, we provide an advanced ad server powered by the most sophisticated machine learning technology in-market.
Trusted by global publishers like Advance Local, The Arena Group, Hearst Newspapers, and News Corp, EX.CO has been shaping the future of video since 2012. Headquartered in New York City with a global team, we are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and Firstime Ventures.
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