Seedtag has introduced Liz Agent, a new AI-powered platform designed to help brands and agencies plan, analyze, and activate advertising campaigns more efficiently. The new solution aims to simplify media planning while delivering deeper insights through the company’s proprietary Neuro-Contextual data technology.
Liz Agent acts as an intelligent assistant for marketers, guiding them through the entire campaign planning process. Instead of relying on fragmented tools and manual analysis, advertisers can interact with the system through a conversational interface that helps generate audience insights, campaign strategies, and activation recommendations. By combining research, analysis, and execution into one platform, Liz Agent enables marketers to move quickly from campaign brief to live activation.
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Seedtag has built its reputation around Neuro-Contextual Advertising, a method that analyzes online content to understand user interests, emotions, and intent in real time. Liz Agent builds on this technology by turning Seedtag’s data into a strategic interface that helps marketers identify opportunities and refine their advertising strategies. The system evaluates campaign goals and provides recommendations on targeting, creative messaging, and audience engagement, allowing advertisers to create campaigns that align more closely with consumer intent.
According to Kartal Goksel, the new platform represents a major step forward in how advertisers interact with Seedtag’s intelligence. By using agentic AI technology, the company enables clients to plan and activate campaigns through natural conversation with the platform. This approach helps marketers make faster and more informed decisions while ensuring that every recommendation is supported by relevant Neuro-Contextual data.
Liz Agent operates on a sophisticated multi-agent orchestration system that integrates advanced large language models with Seedtag’s proprietary data and tools. This architecture allows the platform to deliver strategic insights based on real contextual signals rather than generic AI outputs. The result is a system that can analyze trends, identify audience opportunities, and recommend advertising strategies grounded in real data.
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One of the most distinctive features of the platform is its proactive intelligence capability. Instead of waiting for marketers to submit campaign briefs, Liz Agent continuously monitors the open web and Seedtag’s knowledge base to detect emerging trends, cultural moments, and competitive activity. These insights allow advertisers to identify new opportunities and adjust their strategies before launching campaigns.
The platform’s conversational interface is another key element of its design. Marketers can communicate directly with the system through natural language, asking questions, exploring audience insights, or requesting campaign recommendations. This interaction removes many of the technical barriers traditionally associated with campaign planning tools and enables faster decision-making.
Liz Agent also closes the gap between planning and campaign execution. Strategies developed during the planning stage can be immediately activated across Seedtag’s global advertising inventory, creating a seamless connection between insights and real-world campaign deployment.
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Brian Gleason described the launch as part of a broader shift in how businesses interact with artificial intelligence. He explained that AI agents are increasingly becoming the primary interface through which people access data and intelligence. By introducing Liz Agent, Seedtag aims to place its advanced advertising technology directly into the hands of brands and agencies, enabling them to build campaigns based on contextual understanding rather than traditional tracking methods.
With Liz Agent already available to Seedtag clients, the company expects the platform to help advertisers gain deeper audience insights, improve campaign planning efficiency, and execute more effective marketing strategies from the very beginning of their campaigns.
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