Search has crossed an irreversible threshold: users no longer sift through ten blue links; they converse with generative answer engines. When high-intent buyers ask ChatGPT, Perplexity, Claude, or Google AI Overviews for product recommendations, vendor comparisons, or technical workflows, traditional keyword rankings offer zero guarantee of visibility. Discoverability now hinges on Generative Engine Optimization (GEO)—the disciplined science of influencing Retrieval-Augmented Generation (RAG) pipelines. Anchored in groundbreaking academic research from Princeton University and empirical tests across millions of synthetic prompts, this masterclass equips growth leaders, SEO strategists, and technical marketers with an end-to-end operational blueprint. You will dissect dense vector embeddings, engineer fact-dense content hubs that trigger algorithmic citation, implement nested JSON-LD schema graphs, optimize crawl directives for AI searchbots, and track Citation Share of Voice (SOV) across conversational purchase journeys.
GEO: Generative Engine Optimization — Get Your Brand Recommended by ChatGPT, Gemini & Perplexity
8 modules · self-paced learning
Curriculum
8 modules · 80 lessons
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
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