Case Study: Signal AI reduces broadcast noise with TVEyes Ad Aware API

A TVEyes Case Study

Signal AI filters 120,000 ad documents daily with TVEyes

Signal AI, an AI-powered reputation management platform, faced a challenge in its broadcast media monitoring. Their keyword-based system captured relevant editorial coverage but also picked up unrelated television advertisements, creating false positives and cluttering feeds for analysts. This required extensive manual filtering. TVEyes helped address this noise with its Ad Aware API.

The solution involved integrating TVEyes' Ad Aware API to automatically identify and flag advertising content. The implementation took about three days of development. As a result, Signal AI now filters approximately 120,000 ad documents daily. TVEyes' technology significantly reduced manual overhead and provided clients with a cleaner, more accurate view of the media landscape by strengthening the editorial signal.


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