iSpot Unveils Agentic AI Platform for TV Ads

iSpot launches SAGE, an AI platform built on proprietary ad data to help brands analyze creative performance and optimize video advertising ROI.

iSpot, the cross-platform TV advertising measurement firm, is introducing what it calls the next evolution in marketing intelligence: an agentic AI platform built on more than a decade of proprietary ad performance data.

The new system, iSpot SAGE, represents two years of development and significant investment in AI infrastructure, including NVIDIA servers to process metadata from roughly 2.5 million ads and nearly 100 million verbatim survey responses. The company says the platform is designed to transform frame-by-frame ad analysis and consumer feedback into real-time, actionable insights.

“The market has made it clear that a trusted model, grounded in expert data, is the only AI they want for their video investments,” said Miles Drayton, global director of marketing intelligence at General Motors, one of the brands involved in early testing. “iSpot SAGE pairs the productivity gains of AI with a partner who knows their data better than anyone.”

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From Measurement to Intelligence

Founded in 2012, iSpot built its reputation by modernizing TV ad measurement with real-time analytics across creative performance, audience reach and business outcomes. With SAGE, the company is extending that foundation into autonomous analysis.

“iSpot is the leader in real-time video ad analytics across creative, audience and outcomes,” said Sean Muller, the company’s founder and chief executive. “Now we are putting our massive proprietary intelligence to work in AI models that the industry can trust.”

The platform launches first with a focus on creative analysis. It deploys specialized AI agents, including a Creative Insights Analyst to diagnose performance and a Creative Planning Assistant to recommend strategy. Marketers can generate creative briefs, script outlines and storyboard concepts through workflow automation tools currently in beta.

Frame-by-Frame Insight at Scale

What differentiates SAGE, the company argues, is its data depth. The system analyzes each frame of an ad to extract storylines, characters, themes and transcripts, then links those creative elements to performance metrics such as likability, attention, watchability and purchase intent.

By categorizing ads into themes and “super-themes,” SAGE enables brands to compare creative strategies across competitors, networks and publishers. The platform draws from campaigns spanning 185 TV networks and 500 publishers, covering tens of thousands of brands.

Advanced audience segmentation tools allow marketers to filter performance by demographic and “intender” segments — consumers actively planning a purchase — giving advertisers more granular visibility into what drives impact.

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For companies like Balance of Nature, which also participated in testing, the value lies in tightening the connection between creative storytelling and measurable outcomes.

“The primary goal for advertising is driving better connections with our customers,” said Kyler Blackmore, the company’s media director. “iSpot SAGE is a great example of investing in innovations that drive better emotional resonance and recall.”

As artificial intelligence reshapes creative and media workflows, iSpot is positioning SAGE not as a general-purpose model but as a specialized backbone for video advertising — built on trusted measurement data rather than scraped internet content.

In an industry increasingly skeptical of generic AI outputs, that distinction may prove decisive.