EX.CO's AI-driven taxonomy solution uses Large Language Models to analyze video content frame by frame, generating rich metadata across 30 dimensions, including IAB categories, sentiment, tone, safety classification, and contextual relevance. The system complements existing editorial taxonomies, bridging legacy systems with next-gen automation, and offers seamless integration with publishers' custom frameworks. This solution is live across Ziff Davis properties, enabling seamless content alignment, improved search and discovery, smarter curation and monetization, and instant SEO enrichment. EX.CO's AI taxonomy feature reduces tagging time by a fraction of the cost required for manual execution, making it an efficient and scalable solution for publishers like Advance Local, The Arena Group, Hearst Newspapers, and News Corp.