Generative AI Fails to Deliver Accurate Movie and TV Titles

A recent study by Gracenote, the content intelligence business unit of Nielsen, has found that a leading large language model (LLM) fabricated nearly one in five movie and TV titles it was asked about. The research examined how accurately an ungrounded LLM answered questions about popular movies and TV shows across 2,600 titles in 13 countries.

The study compared responses from the ungrounded LLM with those grounded in Gracenote's content intelligence data. It found that the ungrounded model hallucinated all measured metadata for 506 titles, including summaries, cast lists, genres, release years, and runtimes. These details are crucial for viewers to decide what to watch and for streaming services to describe, organize, and recommend content.

The results highlight why AI-powered content discovery is only as good as the data behind it. Tyler Bell, senior vice president of product at Gracenote, notes that 'viewers don't care where a bad answer comes from.' If an answer is wrong, they blame the service, not the model itself. This underscores the importance of grounding models in verified content intelligence.

Gracenote's report suggests that no LLM is completely free from hallucinations in 2026. This is particularly concerning for AI systems expected to deliver accurate and current entertainment answers at scale. To build trusted search, discovery, and recommendation experiences powered by generative AI, companies need authoritative content intelligence like Gracenote's.

Gracenote provides this foundation through direct data licensing or its Video MCP Server, which connects to the company's global entertainment knowledge graph. This allows LLMs to move beyond plausible-sounding hallucinations and deliver more reliable responses that reduce viewer friction, deepen engagement, and strengthen loyalty.

The study tested 2,600 popular movie and TV titles across 13 countries: Australia, Brazil, Canada, France, Germany, Japan, Mexico, the Netherlands, South Korea, Spain, Sweden, the U.K., and the U.S. The results provide a quantified view of how grounding affects the accuracy and reliability of AI-generated entertainment responses.

The full implications of this study will be discussed at the StreamTV Show on June 18 in Denver, where Gracenote's senior director of product, Nandita Arora, joins the panel 'Reimagining Content Discovery.' The session will explore how AI, personalization, unified search, and new user experience approaches are reshaping content discovery.