Brightcove launches AI tools for video ad targeting

Brightcove has launched AI Contextual Ads and Smart Ad Breaks for video advertising. The tools are now available to customers as part of its AI Suite.

The additions are aimed at broadcasters, publishers and streaming services seeking more detailed contextual targeting and automated recommendations for ad placement within video.

AI Contextual Ads analyses video scene by scene and classifies content against the IAB contextual taxonomy at both scene and full-video level. Those signals are then passed to the ad server when an ad call is made, allowing different parts of the same video to carry different contextual signals.

Smart Ad Breaks examines each video and suggests mid-roll cue points based on natural pauses, scene changes and brand safety signals. Editorial teams still review and approve those recommendations before they are used.

The launch comes as contextual advertising gains ground, with advertisers seeking alternatives to third-party cookies and placing greater emphasis on brand safety. Brightcove cited market estimates valuing the global contextual advertising market at USD $258 billion in 2026 and USD $379 billion by 2030.

Connected TV is another part of that shift. Brightcove cited forecasts that the US connected TV advertising market will reach USD $33.5 billion in 2026, up 28% year on year.

Ad placement

Brightcove's latest products focus on two parts of the advertising process that can affect revenue: the contextual data attached to a video and the timing of an ad break. In practice, that means refining how ad inventory is described to buyers and how interruptions are inserted into programmes or clips.

The ad selection system itself remains unchanged. Instead, the new contextual data becomes another input in the existing ad server process, with scene-level classification adding more detail than a single label applied to an entire asset.

That could matter for long-form content or videos that move through several topics, tones or settings. A news report, documentary or entertainment programme may contain scenes that differ materially from one another, and Brightcove's approach is designed to reflect that variation in the ad request.

On ad breaks, Brightcove is trying to reduce the manual work involved in deciding where mid-roll spots should sit. Publishers and streaming services often have to balance viewer experience, editorial judgment and advertiser concerns when placing breaks, particularly in premium video environments.

Facundo Alvarez Morales outlined how Brightcove sees the latest phase of AI deployment in video operations. "AI has transformed a lot of the video workflow over the past two years, captions, transcripts, metadata generation," said Facundo Alvarez Morales, Product Lead, Brightcove.

"With AI Contextual Ads and Smart Ad Breaks, we're bringing it to a different layer: the decisions inside the platform that decide what a video earns. That's where we believe AI should be working hardest in this industry," Morales said.

Manual bottleneck

One obstacle to scene-level contextual targeting has been the amount of work needed to produce reliable signals across large content libraries. Brightcove is positioning the new tools as a way to automate part of that process while leaving final editorial control in human hands.

Janpaul Pescollderungg described the operational challenge of producing contextual signals at scale. "Scene-level contextual targeting at scale runs into one practical problem: the manual effort it takes to produce the signal," said Janpaul Pescollderungg, Product Manager, Brightcove.

"AI Contextual Ads removes that bottleneck, and Smart Ad Breaks lets editorial teams scale their judgment across the library rather than the slice they have time to watch. The result is the heavy lifting comes off the team, and the judgment stays where it belongs," Pescollderungg said.

The release also adds to a broader push to embed AI features across Brightcove's platform. Its AI Suite has expanded over the past year into captions, transcripts, metadata generation and content discovery.

Brightcove has also delivered more than 20 major platform releases in the past 12 months, including Prism, a redesigned user interface introduced in recent weeks. The latest advertising features extend that programme into monetisation workflows, an area of direct importance to media customers under pressure to improve yields from streaming and publisher video inventories.

Editorial oversight remains part of the Smart Ad Breaks workflow, with staff reviewing suggested break points before publication. That leaves the system in an advisory role on placement decisions, while AI Contextual Ads feeds more granular scene-level information into ad calls.