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Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework
- Researchers have developed a multilingual, multimodal AI framework for hyper-personalized advertising in B2B and B2C markets.
- The framework integrates retrieval-augmented generation (RAG), multimodal reasoning, and adaptive persona-based targeting.
- It generates culturally relevant, market-aware ads tailored to shifting consumer behaviors and competition.
- The framework combines real-world product experiments and synthetic experiments to optimize strategies at scale and maximize return on advertising spend (ROAS).
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