As search behavior evolves with the rise of AI tools like ChatGPT and Gemini, traditional SEO is adapting rather than becoming obsolete, necessitating a shift in strategy for marketers. Users are now conducting more conversational and context-rich searches, prompting a need for specific, detailed content that can be easily interpreted by Large Language Models (LLMs). The distinction between AI-driven search and traditional search is blurring, leading to the importance of visibility over mere traffic, as users may receive answers without visiting a website. As a response, brands must focus on generating scalable, high-quality content that maintains brand authority and relevance across platforms. The traditional SEO pillars—on-page, off-page, and technical optimization—remain crucial, but the approach within these areas is shifting to accommodate the needs of AI search. This includes leveraging semantic chunking, building brand mentions, and ensuring technical excellence to support both AI and human users. As marketers strive to meet the increased demand for specific content, tools like Prismic's landing page builder are becoming essential for creating scalable, context-rich pages that align with modern search behaviors.