Where Context Becomes Intelligence: Operationalising Neuro-Contextual AI at Scale

Between January 2025 and January 2026, Seedtag embedded AI at the core of its operational model, transforming how advertising campaigns are planned, activated, and optimised at scale.

Its proprietary AI system, Liz, operationalises Neuro-Contextual intelligence across the open web and Connected TV. Moving beyond keyword targeting and static audience segments, Liz interprets meaning, tone, and sentiment of text, image, metadata, and video in real time and across 10+ languages by decoding three core pillars of human understanding: interest, emotion, and intent. Built entirely in-house, Liz comprises around 30 AI models spanning natural language processing, deep learning, and computer vision. She analyses more than 100 million URLs daily, and manages more than 2 billion HTTP requests per day at sub-second latency, without relying on personal data. In 2025, Seedtag embedded neuroscience findings from an industry-first EEG study conducted with neuroscientist Moran Cerf directly into Liz’s predictive architecture. The research demonstrated that Neuro-Contextual ads drove 3.5x higher neural engagement than non-contextual ads and 30% higher engagement than standard IAB contextual approaches. These insights were translated into scalable predictive models that optimise campaigns continuously without third-party data. The operational impact is measurable. For United Airlines, a CTV campaign delivered a 48% lift in route awareness and a +21% lift in favourability. For One Nevada Credit Union, the AI drove a 600% increase in monthly conversions and reduced cost per action by 91%. Seedtag’s AI has restructured advertising operations around automation, predictive accuracy, and cost-efficiency; making advertising more privacy-centric, precise, and human.