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Half of US chatbot users aged 13-14 view them as best source of TV recommendations

Half of US chatbot users aged 13-14 view them as best source of TV recommendations

More than half of Gen Alpha AI chatbot users in the US say they use the applications daily, and 49% say these web or app-based services are the best source for TV and movie recommendations.

These are two of the findings in the TV Search and Discovery in the AI Era report, published by Gracenote, the entertainment metadata specialist.

The data come from an online survey of 4,003 US AI chatbot users aged 13-79 conducted in January and February. The Gen Alpha findings are based on respondents aged 13-14.

These 13-14-year-olds rated chatbot services as superior to streaming and cable service user interfaces or programme guides as ways to discover TV and movies.

41% of this group considered streaming and cable the best sources for content recommendations, and only 11% preferred search engine results.

Chatbot search accuracy

When it comes to entertainment search accuracy, 95% of the Gen Alpha sample rated chatbots good or excellent, while 99% rated traditional search good or excellent.

Across the survey as a whole, 92% of people gave traditional search a good or excellent rating for entertainment search accuracy. Chatbots received this rating from 85% of the whole group.

“People are rapidly embracing AI as a new way to search, discover and decide what to watch, especially Gen Alpha audiences,” says Tyler Bell, SVP of product at Gracenote.

“Gen Alpha consumers already expect easy-to-use conversational interfaces.

“But adoption alone is not the story: trust is.

“The winning platforms will be those that can deliver viewing experiences people can actually rely on — grounded in vetted, timely and high-quality data.”

In addition to the survey, the TV Search and Discovery in the AI Era report draws on Gracenote’s 2025 Streaming Consumer Survey (N=3,000 across six countries). It also uses industry data from Nielsen, PwC, Deloitte, Pew Research Center and Veed Analytics.

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