MindFuse: Towards GenAI Explainability in Marketing Strategy Co-Creation

TL;DR

MindFuse presents an explainable GenAI framework that integrates CTR-based content modeling with LLM-driven narrative synthesis to co-create marketing campaigns. It advances from extracting content pillars to mining data-driven personas and thematic challenges, enabling rapid generation of strategy-ready narratives. The approach includes an interpretable content scoring system with heatmap guidance and demonstrates in real deployments substantial efficiency gains (up to 12x) and in-flight optimization capabilities. By grounding creative strategy in performance data and aiming to align narratives with empirical audience signals, MindFuse embodies a collaborative AI partner in modern marketing. Future work envisions grounding narratives with real audience data and developing explainable attribution from content pillars to paid media outcomes.

Abstract

The future of digital marketing lies in the convergence of human creativity and generative AI, where insight, strategy, and storytelling are co-authored by intelligent systems. We present MindFuse, a brave new explainable generative AI framework designed to act as a strategic partner in the marketing process. Unlike conventional LLM applications that stop at content generation, MindFuse fuses CTR-based content AI-guided co-creation with large language models to extract, interpret, and iterate on communication narratives grounded in real advertising data. MindFuse operates across the full marketing lifecycle: from distilling content pillars and customer personas from competitor campaigns to recommending in-flight optimizations based on live performance telemetry. It uses attention-based explainability to diagnose ad effectiveness and guide content iteration, while aligning messaging with strategic goals through dynamic narrative construction and storytelling. We introduce a new paradigm in GenAI for marketing, where LLMs not only generate content but reason through it, adapt campaigns in real time, and learn from audience engagement patterns. Our results, validated in agency deployments, demonstrate up to 12 times efficiency gains, setting the stage for future integration with empirical audience data (e.g., GWI, Nielsen) and full-funnel attribution modeling. MindFuse redefines AI not just as a tool, but as a collaborative agent in the creative and strategic fabric of modern marketing.

Figures (7)

• Figure 1: Sample ad analysis via LLM-powered content pillar extraction.
• Figure 2: MindFuse-generated customer personas based on semantic clustering of B2B ad content.
• Figure 3: Representative communication challenges extracted from insight-driven clustering.
• Figure 4: LLM-generated campaign brief: combining persona + challenge into a strategic narrative.
• Figure 5: Heatmaps visualizing high-attention regions in ad creatives.