Generative Engine Optimization (GEO): Beyond SEO in the Age of AI
Make your brand the obvious answer in AI—on Google’s AI Overviews, ChatGPT, Gemini, Perplexity, and whatever comes next. In Generative Engine Optimization (GEO), Emanuel Rose shows marketers and founders how to build “machine trust,” structure content for AI-first discovery, and turn entity clarity into measurable demand.
What you’ll learn
- GEO fundamentals: why optimizing for intent, context, and structured “answer blocks” beats old-school keyword games.
- AI-first information architecture: craft pages that models can safely quote—definitions, steps, comparisons, pricing, FAQs—so you surface in synthesized answers.
- Multi-model readiness: make your entity, schema, and copy consistent across engines (ChatGPT, Gemini, Claude, Perplexity) to win everywhere people ask for help.
- Measurement that matters: New KPIs, including AI Overview inclusion rate, AI-sourced demand attribution, and sentiment audits.
Human-first, science-backed
GEO blends empathetic strategy with neuromarketing essentials—attention, emotion, cognition, memory—so your content resonates with people and machines. The playbook follows a clear, helpful arc—call, challenge, transformation—so readers can implement change step by step.
Built on values that scale
Rooted in Emanuel’s SEM SOUL principles, the book prioritizes service, clarity, and time-saving systems that amplify (not replace) human expertise.
Inside the book
Foundations of GEO • AI-first site structure • Entity Home + schema • Answer-journey page patterns • Multi-model testing • Metrics & governance • Ethics & compliance • Future trends and agentic search.
Who it’s for
Marketing leaders, founders, agencies, and creators who want durable visibility as AI becomes the front page of the internet.
Get the playbook. Become the answer.
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