The Seedtag Emotion Quotient is leveraged using Liz, Seedtag's proprietary Neuro-Contextual AI. Liz analyzes real-time content across Seedtag's global publisher network to identify active discussions, engagement trends, and consumer interest, emotion, and intent signals across the digital landscape.
Built on neuroscience principles, Liz utilizes advanced vector embeddings to understand the true context of content rather than relying on basic keyword matching. This enables the AI to map complex relationships between topics, decode consumer intent, and isolate the specific terms driving peak engagement.
To capture the complexity of human sentiment, Liz evaluates both the emotions expressed within content and those evoked in the reader. Recognizing that human reactions are rarely singular, Liz identifies multi-emotional layers—detecting concurrent emotional signals (e.g., curiosity alongside excitement) within a single piece of content.
All contextual and emotional decoding is performed entirely without third-party cookies or personal data tracking. By analyzing the content environment rather than individual users, Liz delivers high-precision insights while fully respecting user privacy.
The intelligence powering the Seedtag Emotion Quotient drives real-world media performance. Liz serves as the core engine behind Seedtag NeuroX, our Neuro-Contextual Exchange. By deploying this same neural intelligence across 30,000+ premium publishers and broadcasters, NeuroX translates contextual and emotional signals into live campaign outcomes—understanding every impression at scale, regardless of whether identity is present in the bidstream.