In the evolving landscape of AI-driven search, brands must pivot from traditional SEO to include Generative Engine Optimization (GEO) to maintain visibility across AI platforms like ChatGPT and Claude. This shift emphasizes the importance of leveraging various data types—structured data, core SEO metadata, media metadata, original data, and analytics data—to enhance content discoverability and relevance. Structured data enhances machine readability, while core SEO and media metadata provide essential descriptive information aiding generative engines. Original data, such as proprietary research, adds uniqueness and credibility, and analytics data offers insights for refining strategies. Platforms like Contentful facilitate this transition by automating metadata optimization and analytics, empowering content teams to maximize data utility and streamline the GEO process. As brands navigate this AI frontier, understanding and effectively applying these data types is crucial to achieving superior search performance.