MindFuse: Towards GenAI Explainability in Marketing Strategy Co-Creation
PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3746027.3758167 ↗
摘要
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× 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. In the end of the paper, we also provide a forward-looking forecast on how platforms like MindFuse and Google DeepMind's ACAI are likely to shape the future of marketing agencies. These systems will not only reset client expectations toward greater transparency, speed, and personalization, but will also redefine the skillsets demanded from the new generation of marketers. As hybrid agencies emerge-blending creative storytelling with data science and AI engineering-the competitive landscape will increasingly hinge on talent. In this new environment, professionals will be expected to pair human imagination with technical fluency, while agencies will need to reinvent themselves as AI facilitators and curators of brand authenticity amidst the ongoing talent war led by platforms such as Meta.