Engineering Local: How Madhive is unlocking true agentic power for local media

‍Welcome to Engineering Local, a series that pushes past the buzzwords to understand the infrastructure powering Madhive’s local performance engine.

In 2025, nearly every adtech platform launched a form of AI agent. But for most, their functionality stopped at copilots or lightweight workflow helpers. Some platforms concentrated on streamlining workflows; others embedded assistants into existing tools - each advancing a different interpretation of AI’s role in the media process.

Now, as the initial wave of announcements gives way to practical implementation, media owners and advertisers are looking beyond the hype. The central question is no longer who has AI, but whether AI agents are delivering measurable impact—improving team efficiency, simplifying workflows, and driving stronger business outcomes.

Not all AI agents are created equal

In the fragmented advertising landscape, not all agents are created equal. Their impact is largely determined by the data powering them. A siloed agent - one that can summarize a report but can’t meaningfully support planning, activation, or optimization - is unlikely to provide tangible value to an advertiser. While AI can be effective at recognizing patterns and surfacing recommendations, there is a unique complexity to implementing AI for local media. 

To successfully deliver performance at the local level, advertisers must account for the nuance of individual markets - differences in geography, budgets, audiences, and seasonality. If an agent can only assist with a subset of an advertiser’s workflow, it quickly becomes more liability than asset. To move beyond a siloed quick fix for small problems and become a core operator, agentic AI requires deep contextual knowledge and the ability to drive action from end-to-end.

AI that delivers from insights to execution

Rooted in the reality of local advertising, Maverick AI is built on intelligence drawn from real local performance. With more than 50,000 campaigns running daily, Maverick sees omnichannel planning, activation and measurement as it happens, capturing the context and nuance that define local markets. 

We use that dataset to train machine learning models that power our agents - so they don’t behave like generic assistants, but like experienced local operators who understand pacing patterns, budget constraints, seasonality, and what actually drives performance market by market. Every campaign strengthens that intelligence layer, compounding what the system learns over time. In 2025, our Maverick-optimized campaigns saw 17.5X increase in ROAS and 286% lift in performance.

To truly stand out in the market, agentic AI must be able to close the loop between insights and execution - not just surface recommendations, but take action. Maverick was engineered to do exactly that: understanding advertiser goals, audiences, and geographic dynamics, then creating informed strategies, activating campaigns directly, and continuously optimizing performance based on real results.

Local is entering its performance era

Local advertisers are entering a new chapter. They now have access to the tools and intelligence previously reserved for large global brands. As data and automation become more accessible, agentic capabilities are moving  from add-ons to everyday workflows. 

Madhive’s approach is to embed agents across the full lifecycle - from discovery and pitching through planning, activation, optimization, and reporting. Agents are becoming an operational thread woven through the platform itself, working alongside teams during the day and continuing to optimize campaigns after hours

That’s what true agentic power looks like: not just helping teams work faster, but enabling the system itself to operate smarter on their behalf.