Content intelligence brings what’s on screen into ad buying decisions today — and could give automated systems a richer input for optimization tomorrow.
Without proper grounding, LLM responses about TV episodes will usually be incorrect.
LLMs have the power to alleviate growing frustrations about content discovery—but not if they deliver bad results.
Without proper grounding, LLMs aren’t able to deliver accurate search and discovery results for TV viewers.
Learn why CTV spending is growing, yet remains overshadowed by investments earmarked for traditional TV.
Advertisers see the potential of CTV, but they’re hesitant to reallocate budget from linear TV because of a lack of information.
GenAI has the power to connect people with the content they’re looking for, but trust is a considerable hurdle.
Bad data is a real threat. LLMs are powerful tools, but they are only as good as the information they can access.
Despite their roots in the U.S., the five global SVOD services tracked in the Gracenote Data Hub offer more global content than U.S. content.
RAG and MCP each address the limitations of LLMs, but they approach the issue in fundamentally different ways.
Streaming viewers have become overwhelmed by choice and fragmentation. This sentiment is mounting, and it has a range of downstream effects.
Solving the sports discovery problem doesn’t mean owning more content. It means providing better access to it.