Madhive Unveils Maverick AI Agents to Power Local Advertising With Agentic Intelligence at Scale

MADVIVE is making headlines with the launch of the expansion of their enterprise intelligence platform, Maverick AI. The launch comes with the addition of the brand-new agentic AI feature, aimed at improving local advertising results. The launch of the new feature integrates the Maverick AI agents within Madhive’s Demand Side Platform (DSP), allowing advertisers to run their campaigns more efficiently.

It appears that AI advertising technology solutions have evolved significantly, with this launch representing a milestone in the space.

First launched last year, Maverick AI was built as the brains behind Madhive’s integrated advertising network. Today, the platform is no longer limited to just planning and automating advertising campaigns but rather encompasses more than just that, becoming a full range of agency tools intended to increase efficiencies, make smarter media investments, and boost campaign effectiveness for advertisers.

“Local advertising has always been performance-driven at its core-defined by execution, accountability, and results,” said Jim Wilson, CEO of Madhive. “With Maverick AI agents embedded directly into our DSP, we’re enabling advertisers to close the loop between insight, activation, and performance in real time—unlocking a new level of efficiency and impact for local campaigns.”

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Whereas conventional DSP systems usually have trouble handling the intricacies of regional and hyperlocal marketing, the AI agents at Madhive are trained with more than a decade’s worth of proprietary data in local advertising provided by the Madhive platform itself. The platform is able to interpret signals received from more than 50,000 campaigns every single day, enabling the AI systems to get a better grasp of how local marketing campaigns work.

According to the company, the new agentic model will help serve as an operational layer, which would be involved at all stages of the process of advertising. The agents will be constantly helping media people in their work and, at the same time, making necessary changes to the advertising campaigns in the background mode.

Key capabilities introduced with Maverick AI agents include:

  • Faster media planning using historical campaign performance and audience intelligence
  • Streamlined campaign activation across local inventory channels
  • Real-time budget allocation and campaign delivery optimization
  • Continuous performance enhancements powered by live campaign data

In addition to the AI agents, Madhive also announced the launch of its new Model Context Protocol (MCP) server. The MCP server enables multiple large language models (LLMs) to integrate directly with Madhive’s platform through a standardized interface. This allows advertisers and enterprise teams to interact with campaigns, audience segments, creatives, and publisher groups using natural language commands.

The MCP server is expected to play a foundational role in future AI-driven campaign execution strategies by enabling organizations to integrate Madhive’s local intelligence capabilities into their own internal systems, tools, and operational workflows.

As AI adoption continues accelerating across the advertising and marketing technology sectors, platforms capable of automating campaign management while maintaining localized precision are becoming increasingly valuable for enterprise advertisers seeking operational scale without sacrificing regional relevance.

“Insights have always been at the core of how FOX drives performance in local markets,” said Michael Page, SVP, Digital Sales at Fox Television Stations. “We’re excited that Maverick AI agents will not only enhance that capability, they will fundamentally accelerate it, turning insight into immediate action and performance at scale.”

With the latest expansion of Maverick AI, Madhive is positioning itself at the center of the growing shift toward agentic advertising systems that combine automation, contextual intelligence, and real-time optimization to support the next generation of local media performance.

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