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FAQs

TagScreen’s AI precisely identifies the show, episode, and exact frame the viewer is watching, synchronizing mobile devices with live or on-demand content down to the second. Its multimodal AI then analyzes each frame to detect key characters, brands, objects, and locations, combining visual and audio context to achieve a deeper understanding of every scene.
In this environment, characters evolve into intelligent recommenders. Leveraging large language models, TagScreen delivers conversation-driven experiences where characters suggest, react, and guide viewers based on contextual affinity and real-time interests.
As a result, the viewer’s phone becomes an AI companion to the story—triggering interactions, personalized recommendations, and commerce opportunities in perfect sync with the scene, powered by user signals and content awareness.

Brands should consider using TagScreen for several compelling reasons, primarily centered around enhancing audience engagement, driving direct commerce, and gaining valuable insights from their content.
TagScreen uses multimodal AI to analyze TV content in real time—identifying actors, brands, products, and contextual elements to deliver personalized, shoppable experiences across categories like fashion, travel, sports, and technology. Features such as “Shoppable Characters” turn on-screen moments into instant purchase opportunities, aligning with consumer trends in video-driven and visual search commerce. For live events, its “Live Sports Activation” synchronizes brand interactions with peak audience attention, enhancing engagement and conversion.
In parallel, TagScreen captures rich audience insights—from viewing behavior to device-based profiles—enabling brands to move beyond passive advertising and create interactive, data-driven experiences that connect entertainment, commerce, and real-time engagement.

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  • Google Lens Usage: Google Lens records 20 billion monthly searches, with 4 billion of these searches directly driving shopping decisions.
  • Video-Inspired Purchases: 81% of adults make purchases inspired by video content, with fashion leading this trend.
  • Growth in Visual Identifier Searches: Visual identifier searches are projected to jump 70% by 2025, as reported by Amazon, highlighting the increasing importance of visual search technologies.
  • Real-Time Engagement in Reality TV: Reality shows, such as American Idol, demonstrate the efficacy of real-time engagement by receiving over 100 million live votes per season.