Seedtag Adds Neuroscience to Ad Targeting

Madrid-based Seedtag has unveiled what it says is 'a decisive step beyond the limits of traditional contextual advertising,' bring principles of neuroscience into its 'Liz' AI platform to interpret signals like interest, emotion and intent, and optimize campaigns accordingly.

For the new 'neuro-contextual advertising', Liz will identify and act on 'emotionally charged intersections', allowing the system to target campaigns across premium CTV, video and the open web based on an understanding of how people 'engage, feel, and make decisions, not just what they are reading or watching'. Ad placement can be matched to moments of high interest, emotional connection and intent.

Clients can query Liz about competitive positioning, audience resonance and contextual alignment via a conversational interface based on a retrieval-augmented generation (RAG) framework. The firm says this transforms the AI Agent from a targeting engine into a strategic collaborator.

Albert Nieto (pictured), Seedtag founder and co-CEO says the launch represents a step change in targeting. 'Contextual advertising taught us that it was possible to drive results without identifiers - and that remains core to our value. But the category never fully reflected what we were building. Most people still think of contextual as keyword targeting. That's miles away from what Liz is doing today. This launch shows how far we've come - and how much more our technology can enable.'

Web site: www.seedtag.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.