The landscape of digital marketing is rapidly evolving, driven by advancements in artificial intelligence (AI) and data analytics. Traditional marketing strategies, reliant on generalized messaging and static segmentation, are increasingly insufficient to meet the demands of discerning consumers. This study explores the development and implementation of an AI-based personalized digital marketing system designed to deliver highly targeted, context-aware experiences across multiple digital touchpoints. By integrating unified customer data, machine learning algorithms, and predictive analytics, the system enables real-time understanding of user behavior, facilitates adaptive content delivery, and optimizes engagement strategies. Additionally, the research emphasizes the synergy between AI-driven personalization and modern search engine optimization (SEO) practices, highlighting the role of AI in intent-based content optimization and answer engine visibility. Ethical considerations, including data privacy, user consent, and transparency, are examined to ensure trust and compliance in personalization strategies. The findings suggest that organizations leveraging AI personalization, in conjunction with strategic SEO guidance from experts such as a professional seo agency nyc, can achieve enhanced customer engagement, improved conversion rates, and sustainable competitive advantage in the digital marketplace.