Seedtag, a contextual advertising company, announced the launch of an agentic AI platform for media planning and activation.
The platform, called Liz Agent, automates the planning phase of a campaign, with the agent existing as a consultant for media planners.
The New York and Madrid headquartered company is a neuro-contextual advertising firm, meaning its technology analyses visual, text and sentiment over using cookies. Seedtag uses AI to deliver ads on content a user is currently consuming as opposed to personal data or third-party cookies.
The company’s tech can also use GenAI to create contextually relevant ads that match the surrounding content.
Liz Agent is powered by this ‘neuro-contextual intelligence engine’ and can interact with clients in a conversational way, much like an AI chatbot.
In a statement, Seedtag explained that Liz Agent doesn’t only retrieve information but provides targeting, creative and message-angle recommendations aligned with specific campaign goals.
Seedtag was founded in 2014 by former Google employees as a cookieless alternative for the digital advertising industry.
Under the Hood of Liz Agent
Seedtag revealed that Liz Agent mixes Large Language Models (LLMs) with the company’s own data and tools, and the agentic platform is built from four core pillars, including:
- Integration with proprietary data to ensure information comes from intelligence instead of generic AI-generated knowledge.
- Proactivity in Liz Agent so she can carry out analysis to identify proactive opportunities like competitor insight.
- A conversation interface, making campaign activation more user-friendly.
- Closing the loop between planning and execution as strategies can be activated instantly.
“Liz Agent is how we put Seedtag’s AI directly into the hands of our clients, enabling them to interact with Liz through a natural conversation,” said Brian Gleason, CEO of Seedtag.
