Conversational AI Search for Streaming

ViewLift’s Conversational AI Search is purpose-built for sports, media, and entertainment platforms—where content libraries are vast, metadata is complex, and traditional keyword search falls short. It transforms discovery across large streaming catalogs, enabling viewers to search naturally using full questions, detailed prompts, and contextual follow-ups.

Powered by a semantic intelligence layer combining vector search with retrieval-augmented generation (RAG), the platform analyzes titles, metadata, and transcripts to understand intent and context. Instead of keyword matches, it delivers results based on meaning—making discovery faster, more relevant, and intuitive.

Search results appear in a dynamic visual video grid that allows subscribers to browse multiple shows, experts, topics, and techniques at once. As users refine their searches within the same session, results update instantly to reflect the evolving conversation, creating a more fluid and interactive experience than traditional search interfaces.

To make validation even faster, the interface includes hover-to-play trailers directly within the search results. Viewers can preview content before committing to a full episode, helping them confirm relevance more quickly and reducing friction throughout the discovery journey.

The platform supports contextual follow-up queries, allowing viewers to continue refining their search without having to start over. They can narrow results by expert, species, technique, event type, topic, or location while maintaining the flow of the original search session. This makes discovery feel conversational rather than transactional.

Currently available on the web, with connected TV voice support rolling out in the near term, Conversational AI Search extends discovery beyond typing and into voice-enabled streaming experiences. The result is a more modern, accessible way for audiences to navigate content libraries across digital platforms.