Insights

Gracenote perspectives

Insights to help you make informed business decisions

Can AI find the right TV episode? Not reliably.

Without proper grounding, LLM responses about TV episodes will usually be incorrect.

Jul 22, 2026
Why ungrounded large language models can’t fix content discovery

LLMs have the power to alleviate growing frustrations about content discovery—but not if they deliver bad results.

Jun 17, 2026
Plot holes in AI

Without proper grounding, large language models aren’t able to deliver accurate search and discovery results for TV viewers.

Jun 10, 2026
Sports content on global SVOD services will soon rival movie catalogs

Sports distribution across global SVOD providers now eclipses 38.5k programs.

May 28, 2026
Hallucinations: What’s the risk?

LLMs are far from perfect, and in the world of entertainment, they think they know more than they actually do.

Apr 29, 2026
For next-gen entertainment experiences, LLMs are only as good as the data they can access

In order for enterprise LLMs to provide the next-gen content experiences they have the ability to, access to trusted, industry-specific data is paramount.

Apr 22, 2026
AI can improve content discovery, but not if people don’t trust it

GenAI has the power to connect people with the content they’re looking for, but trust is a considerable hurdle.

Apr 14, 2026
TV search and discovery in the AI era

The way people search for information is changing, but without the right data, AI will simply confirm that it can’t be trusted.

Apr 8, 2026
Grounded thinking: Why AI-powered CTV experiences rise or fall on data

Bad data is a real threat. LLMs are powerful tools, but they are only as good as the information they can access.

Mar 12, 2026
Sports programming grew its footprint across the streaming landscape in 2025

While content libraries grow and distribution channels multiply, sports have become the hottest commodity across the streaming landscape.

Feb 24, 2026
How RAG and MCP differ in powering AI-driven TV experiences

RAG and MCP each address the limitations of LLMs, but they approach the issue in fundamentally different ways.

Feb 10, 2026
Missing metadata in FAST programming may be hindering ad revenue

FAST channels will become increasingly dependent on metadata to inform ad buys in programmatic systems.

Feb 2, 2026
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