Neuro-contextual advertising by Seedtag.Seedtag has unveiled its latest offering: neuro-contextual advertising, an artificial intelligence (AI)-led system designed to predict not just what people see, but how they feel about it.
Built on the combination of AI and neuroscience principles, the contextual advertising company’s AI, Liz, now interprets deeper signals like interest, emotion, and intent, in an effort to turn these insights into high-performing campaigns across premium CTV, video, and the open web.
Grounded in neuroscience, Seedtag claims its neuro-contextual advertising aligns with how the brain naturally processes information and matches ad placement to moments of high interest, emotional connection, and intent.
“This marks a major evolution for the company – and a decisive step beyond the limits of traditional contextual advertising,” said Jorge Poyatos, Founder and Co-CEO of Seedtag.
The ad-tech company claims neuro-contextual goes beyond traditional, upper-funnel contextual targeting by understanding how people think, engage, and make decisions.
“We built our reputation applying AI to context, but Liz’s progression into neuro-contextual targeting changes the conversation. Artificial intelligence no longer just recognises content – it understands interest, intent, and emotion, and drives results across the entire funnel,” Poyatos said.
From Scanning Pages to Understanding People
Seedtag said it developed this offering in recognition of how contextual targeting has evolved from analysing keywords to scanning text and images.
It’s neuro-contextual service aims to take this further by adopting a more human approach and decoding deeper signals to understand how people engage, feel, and make decisions and not simply measuring what they are reading or watching.
Leveraging neuro-contextual properties, Liz operates like the human brain – recognising patterns, interpreting context, and responding dynamically to user interests, emotions and intentions.
The result aims for a more cohesive and intelligent system, capable of understanding how people think and delivering the outcomes modern marketers need.
By aligning advertising with the content people actively engage with, Liz is designed to identify and act on emotionally charged intersections – applying these psychological principles to maximise impact, Seedtag explains.
“What we’re seeing with neuro-contextual and agentic AI is a step change,” said Albert Nieto, Seedtag Founder and Co-CEO. “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.”
Built on a retrieval-augmented generation (RAG) framework, the Liz Agent allows Seedtag’s clients to query Liz about competitive positioning, audience resonance, contextual alignment, and more, transforming it from a targeting engine into a strategic collaborator.
This allows Seedtag’s clients to access Liz more naturally, interpret complex prompts, and streamline the activation of its full capabilities.
