Mediagenix has announced enhancements to its Content Personalization solution, enabling broadcasters and streaming platforms to deliver more intuitive and engaging viewer experiences.
Building on its Humanized Semantic Search, Mediagenix is extending its recommendations deeper into the discovery experience, combining new semantic metadata enrichment and AI-powered search capabilities with personalization to connect audiences with relevant content faster. With better content discovery, operators can fully maximise catalogue value.
“Content discovery remains one of the biggest opportunities to improve the viewer experience today,” said Gabriel Mandelbaum, VP Content Strategy and Management. “As catalogues grow, many platforms still rely on outdated personalization approaches that force viewers to search, scroll and click multiple times just to find something relevant. That creates friction and missed opportunities to engage audiences with the full value of the catalogue. With these enhancements, we’re making personalization more intuitive, more transparent and more effective so viewers can find what they want faster and discover more of what they’ll love.”
Traditional approaches to personalization and search often operate independently or rely on static logic, limiting their ability to guide viewers effectively. Mediagenix addresses this by bringing together semantic intelligence, audience insights and editorial control into a unified approach to content discovery. Enhanced metadata, semantic enrichment and AI search capabilities enable streaming services and broadcasters to better manage large, diverse content libraries, improving discoverability, engagement and retention.
Smarter Personalization Across the Discovery Experience
Mediagenix combines AI-powered semantic search with context-aware recommendations to better understand both content and viewer behaviour. Powered by natural language processing and a dual-layer Knowledge Graph, the platform analyses metadata ranging from keywords to rich descriptions, enabling more relevant and contextual content suggestions.
New Metadata Semantic Enrichment
Mediagenix semantic enrichment creates a detailed semantic profile for every piece of content available on a platform. It is specifically designed to power advanced search, recommendation, user identification, and audience segmentation at scale. Each content item is enriched using advanced AI to analyse and generate relevant semantic metadata. This metadata is then categorised and weighted using the Mediagenix taxonomy, whose transparency enables human oversight to ensure quality and accuracy.
Enhanced AI-Powered Semantic Search
Mediagenix AI-powered semantic search understands the meaning behind user queries. It combines AI-driven semantic analysis with rich content metadata to deliver more accurate and relevant results.
Driving Measurable Impact
Mediagenix’s personalization capabilities are already delivering measurable results across deployments, including:
Up to +60 per cent increase in conversion-to-play
+35 per cent increase in viewing session duration
+62 per cent increase in catalogue exposure
50 per cent reduction in editorial curation effort
By improving both viewer experience and operational efficiency, Mediagenix enables media companies to drive stronger engagement, increase content utilisation and streamline workflows.
Supporting the Real-Time Media Enterprise
Mediagenix is redefining where and how audience intelligence is applied, shifting it upstream in the content pipeline to inform decisions across strategy, curation and scheduling from the outset. This allows media organisations to move beyond optimising outcomes after the fact and instead shape performance as it is created.
These advancements mark the next step towards the Real-Time Media Enterprise, where personalization plays a central role in continuously connecting audiences with the right content at the right moment.
Mediagenix’s innovation has been recognised by key analysts. The company was named an IDC Innovator in the IDC Innovators: Media and Entertainment 2025 for its breakthrough approach to embedding personalization across the content lifecycle.
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