EX.CO has launched its Agentic AI Taxonomy solution, now live across Ziff Davis properties like PCMag and Mashable, enabling publishers to automatically categorize extensive video archives and transform them into revenue-ready, structured assets. Unlike manual tagging systems, EX.CO leverages Large Language Models (LLMs) to analyze video content frame-by-frame, generating rich metadata across more than 30 dimensions including IAB categories, sentiment, tone, safety classification, and contextual relevance. This granular and intelligent tagging improves content searchability, discovery, and most importantly, the precision of ad targeting and monetization yield.
The taxonomy solution supports publishers’ existing custom editorial taxonomies by seamlessly integrating AI-generated classifications without disrupting current frameworks. This flexible architecture bridges legacy editorial structures with next-generation automation, allowing publishers to maintain control while benefiting from LLM-driven categorization tailored to their unique content hierarchies. EX.CO’s CEO, Tom Pachys, emphasizes that this solution is not merely about automation, but precision and adaptability, recreating publishers’ content organizations and integrating directly into content management systems (CMS) and monetization workflows.
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Key benefits of EX.CO’s Agentic AI Taxonomy include:
- Seamless alignment of video and article content to keep media properties in sync across platforms.
- Enhanced internal search and content retrieval, facilitating efficient matching on EX.CO’s platform and publisher CMS.
- Customizable category frameworks with configurable confidence thresholds for precise classification.
- Enriched metadata that enables smarter content curation, contextual and audience-targeted advertising, and improved bid optimization.
- Instant SEO benefits by embedding taxonomy metadata directly into video assets.
The system has enabled rapid scale at Ziff Davis, with over 50% of content on the Roomie International property tagged by the AI solution. Senior product manager Dan Kamas highlights the significant reduction in manual effort and increased confidence in metadata-driven product recommendations made possible by this technology.
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EX.CO’s Agentic AI Taxonomy, powered by advanced LLMs, represents foundational infrastructure for scalable, context-aware video content management and monetization. It delivers an efficient, cost-effective alternative to manual tagging and ongoing maintenance, deepening publisher value by accelerating editorial workflows and boosting revenue potential in an increasingly complex digital media environment.
Beyond automation, this taxonomy solution exemplifies the emerging class of “Agentic AI” systems AI frameworks capable of autonomous goal orchestration, dynamic adaptation, and seamless collaboration with human editors distinguishing them from simpler AI agents or generative AI models focused on single-step output generation. EX.CO leverages advanced AI to replicate and refine editorial taxonomies, empowering publishers to excel in the dynamic video monetization landscape.
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