Madison
An open-source, agent-based AI marketing intelligence framework designed to transform branding, marketing, and advertising. Madison organizes specialized AI agents that collaborate under an orchestration layer to deliver cohesive, data-driven marketing solutions.
About the Framework
Madison (informally known as "Mads and Madison") is an open-source, agent-based AI marketing intelligence framework that integrates specialized AI agents to deliver comprehensive marketing solutions. The framework maps projects to agent layers, details core technologies, and outlines implementation strategies for data-driven marketing.
This experimental project emphasizes collaborative learning and innovation, allowing marketers to build tailored solutions for branding, customer experience, content creation, and market research through an integrated agent ecosystem.
The Five Agent Layers
Madison organizes specialized AI agents into five collaborative layers, each addressing distinct marketing challenges:
1. Intelligence Agents
Gather and analyze data to provide actionable insights into market dynamics and consumer sentiment through reputation monitoring and trend analysis.
2. Content Agents
Create, optimize, and distribute marketing materials across channels with consistent brand voice and multi-platform adaptation.
3. Research Agents
Process data to uncover customer insights through automated survey analysis and synthetic persona development.
4. Experience Agents
Enhance customer interactions through AI concierge systems and customer journey transformation.
5. Performance Agents
Measure and optimize marketing outcomes through multi-armed bandit optimization and predictive analytics.
Orchestration Layer
Coordinates all agents through cross-project validation, dynamic resource allocation, and continuous learning.
Core Technologies
Language Models & NLP
GPT-4o, LLaMA, BERT, Grok 3 for brand voice personalization, content generation, and conversational AI.
Data Analysis
PCA, Clustering, Regression, Factor Analysis for survey analysis, segmentation, and preference modeling.
Multi-Armed Bandit Systems
Thompson Sampling, UCB, Contextual Bandits for continuous optimization and dynamic allocation.
Knowledge Graph Systems
Neo4j, RDF, SPARQL for brand perception tracking and market analysis integration.
The Madison orchestration layer ensures seamless coordination between agents, resolving conflicts, allocating resources dynamically, and enabling continuous learning from performance metrics.
Key Projects
Brand Voice Personalization
Ensures consistent brand communication across all touchpoints through AI-powered voice analysis and parameter-efficient fine-tuning.
Multi-Armed Bandit Optimization
Optimizes content and campaigns through continuous experimentation using Thompson sampling and contextual bandits.
AI Concierge Systems
Deploys digital assistants for personalized customer experiences with conversational AI and journey mapping.
MarketMind Research
Conducts comprehensive secondary research on markets, competitors, and trends through systematic intelligence gathering.
Implementation Features
Agent Orchestration
Coordinates all agents through cross-project validation, dynamic resource allocation, and pattern recognition across the marketing ecosystem.
Open Source Framework
Transparent, collaborative development model that enables customization and integration with existing marketing technology stacks.
Real-Time Intelligence
Continuous monitoring of market dynamics, social sentiment, and competitive landscapes with automated report generation.
Scalable Architecture
Supports cloud, on-premises, or hybrid deployment with API-based integration and human-in-the-loop validation.
Get Started
Madison provides a comprehensive framework for AI-driven marketing intelligence. Explore the codebase, watch implementation demos, or join our collaborative development community.