EX.CO, a leader in machine learning video technology, has launched a cutting-edge AI-driven taxonomy solution designed to transform how publishers classify, discover, and monetize their video content. The new feature is already live across Ziff Davis properties, including PCMag and Mashable.

This new agentic AI taxonomy leverages Large Language Models (LLMs) to automatically analyze video content frame-by-frame, generating rich metadata across more than 30 attributes—such as sentiment, tone, contextual relevance, and IAB categories. This enables publishers to convert sprawling, unstructured video archives into organized, searchable, and monetizable assets—without the manual overhead.

“EX.CO’s AI taxonomy solution has allowed us to deeply tag our extensive video library with a fraction of the necessary time,” said Dan Kamas, Senior Product Manager at Ziff Davis. “This gives the product team confidence in the recommendations being powered by this new technology.”

Unlike legacy video management systems that depend on labor-intensive tagging workflows, EX.CO’s platform brings precision automation with editorial flexibility. The system supports both industry-standard and custom classification models, enabling publishers to retain their existing editorial frameworks while enhancing them with intelligent AI tagging.

Key capabilities include:

• Real-time metadata enrichment across 30+ dimensions, including safety, tone, and context.

• Support for existing taxonomies, allowing seamless integration into legacy content systems.

• Improved ad targeting and yield optimization, by aligning content with demand more effectively.

• SEO enrichment, with taxonomy data embedded directly into video metadata.

• Smarter discovery and curation, boosting both internal CMS workflows and audience-facing searchability.

"What makes this solution different isn’t just automation—it’s precision and adaptability,” said Tom Pachys, EX.CO co-founder and CEO. “We’re recreating a publisher’s unique content hierarchy with LLMs, evolving alongside editorial strategy, and translating that into monetization.”

The taxonomy engine also provides configurable confidence thresholds for category assignment, ensuring high levels of accuracy tailored to publisher needs. It is available to all EX.CO publisher partners with AI-powered analysis enabled, delivering end-to-end tagging at a fraction of the cost of manual workflows.

“Our new agentic AI taxonomy feature doesn’t just drive revenue,” added Pachys. “It deepens our value with editorial and video teams who depend on speed and accuracy to deliver great experiences.”

With this rollout, EX.CO positions itself at the forefront of AI infrastructure for digital publishers—bridging editorial precision with next-gen monetization tools at scale.