Streaming has given viewers more content, more services and more ways to watch than ever before. With the ability to have entertainment platforms at your fingertips, access is no longer the primary challenge. Now, the harder question is how to help viewers find something they actually want to watch without making them work through more menus, more apps and more choices.

That challenge is becoming more important as search itself changes. Consumers are growing accustomed to digital experiences that interpret intent and context rather than requiring an exact keyword or title. When it comes to discovery in the streaming space, that means services need to better understand what viewers mean and connect that intent to the right content.

More choice has made discovery more important

The scale of the problem is easy to see. According to TiVo’s Q4 2025 Video Trends Report , households now access more than 10 video services on average, including nearly seven paid and four non-paid. The same report found that 40% of viewers search across an average of two or three apps before settling on something to watch.

More choice can be valuable, but it can also push the burden onto the viewer. A large library matters less if the path to a relevant title feels cumbersome. As content continues to spread across services, discovery becomes a core part of the viewing experience rather than a feature around the edges.

Search is becoming more conversational

The way consumers interact with technology is changing. According to a recent survey from my company, Prosper Insights & Analytics , 45.9% of U.S. adults say AI is somewhat or very important in influencing their behaviors; among Millennials, that rises to 61.7%.

As AI plays a larger role in everyday digital experiences, consumers are becoming more familiar with tools that respond to natural-language prompts and interpret context. In streaming, that changes the search standard. Exact keywords can feel limiting when viewers can instead simply describe what they want — whether that is a certain mood, theme or type of story.

“For years, search has required viewers to know exactly what they are looking for. That is starting to change,” said Tal Bone, senior vice president and general manager of TiVo OS . “The goal now is to understand what someone means when they describe a mood, a theme or the kind of experience they want, and use that context to help them get to the right content faster.”

That shift is beginning to reach television. TiVo , for example, recently introduced Agent TiVo, an AI-powered discovery product that allows viewers to describe what they are looking for conversationally and receive personalized recommendations and guidance. It is one example of search moving from exact commands toward a better understanding of viewer intent.

For streaming services, operators and connected-TV operating systems, conversational discovery can become part of the product experience itself. The objective is simple: reduce the distance between the desire to watch something and the ability to find it.

Better discovery depends on better data

Conversational search alone does not solve the problem. Recommendation systems still depend on the quality of the information they have to work with. Traditional metadata such as title, genre, cast and release date describes what a program is, but it does not always explain why someone might enjoy it.

Richer metadata like the set used to power Agent TiVo can capture tone, pacing, themes, setting and other attributes that distinguish one title from another. That matters because two viewers can like the same show for completely different reasons. One may care about the cast, while the other may respond to the humor, setting or storytelling style.

Samba TV’s State of Streaming US Market Q4 2025 Report points to the value of more granular signals. By connecting viewing behavior with online interests, Samba found that audiences around different shows display distinct interest profiles. That kind of context goes beyond broad demographic labels and helps illustrate why better inputs can lead to more useful decisions about what to surface next.

Relevance is more than personalization

Personalization only works if the recommendation is useful to the viewer. TiVo’s Q4 2025 Video Trends Report found that 48.9% of respondents consider personalized streaming recommendations moderately or very relevant.

The next step is making those recommendations easier to understand. A generic suggestion may be technically personalized and still feel arbitrary. Better context can explain why a title is being surfaced, whether because it shares a theme, actor, tone or storytelling style with something the viewer already enjoyed.

That distinction matters because relevance is not just about narrowing a list. It is about giving viewers enough information to decide whether a recommendation makes sense. Richer metadata gives discovery systems more ways to make those connections clear.

The number of streaming choices consumers face will continue to grow, as will the challenge of making that abundance easier to navigate. That will require search that understands intent, metadata that describes content more deeply and recommendations that give viewers useful context. Platforms that do this well can turn discovery from a source of friction into a stronger part of the viewing experience.

The measure is simple: less time searching and more time watching. Disclosure: The consumer sentiment study referenced above was conducted by my company, Prosper Insights & Analytics . This is the same dataset used by the National Retail Federation, and available from Amazon Web Services, Databricks, and the London Stock Exchange Group for economic benchmarking.