AI Search Playbook

While traditional search engine optimization (SEO) was once the definitive tool for brand visibility, the rise of answer engines and generative models has introduced a notorious shift in consumer behavior. This book provides insights for navigating these changes, ensuring your content remains searchable and relevant in an era where traditional search results are being replaced by direct, AI-generated answers.

The AI Search Playbook provides a comprehensive overview of the emerging strategies necessary to survive this transition. You will learn to master answer engine optimization (AEO) to secure your place in direct AI responses and generative engine optimization (GEO) to influence the outputs of large language models. Key takeaways include techniques for structuring product data for AI consumption, understanding the mechanics of agent-based search, and transitioning your brand’s digital footprint from outdated SEO practices to these sophisticated new discovery frameworks.

By the end of this book, readers will be fully equipped to lead their product data through the AI revolution with confidence and technical competence. You will possess the specialized knowledge required to ensure your products and ideas are not just indexed, but actively found and recommended by the AI agents of tomorrow.

WHAT YOU WILL LEARN
● Understand AI agent product discovery, evaluation, and recommendation mechanisms.
● Mastering SEO, AEO, GEO, and AI-driven product discovery.
● Structure product data, schema markup, and semantic HTML effectively.
● Measure AI visibility using Share of Model and benchmarking.
● Build resilient AI discovery strategies across evolving AI ecosystems.

WHO THIS BOOK IS FOR
This book is for marketing strategists, SEO specialists, content architects, product managers, e-commerce professionals, and digital marketing consultants with a beginner-to-intermediate understanding of search engines and digital discovery. No advanced coding knowledge is required to learn AEO, GEO, and AI-first discovery practices, however, a beginner-to-intermediate grasp of how search engines currently work is necessary.

1. The Rise of AI Agents
2. Understanding and Mastering AEO
3. GEO Strategies Foundations
4. Structuring Product Data for AI-Driven Recommendations
5. Technical Frameworks for Implementing Agent-ready Catalogs
6. Advanced AEO and Optimizing LLM Citations
7. PXM Evolution and Managing AI Experience
8. Dominating Agentic Shelf with Digital Shelf Analytics
9. Scaling GEO and Automating Visibility Across AI Platforms
10. Future-proofing Brands for the Next AI Shift

Pedro Gustavo Torres is biased towards action, impact-driven engineering leader who excels at building and scaling high-performing teams across startups, scaleups, and enterprise organizations. His leadership philosophy centers on empowering people with clarity, competence, and autonomy, enabling them to deliver meaningful results.

With over 25 years of experience across North America and Europe, he has led and coached hundreds of software engineers and helped raise three unicorns in the tech industry. Passionate about people, technology, and products, he thrives on driving impact through collaboration and innovation.

A strong advocate of AI, agile, Lean, DevOps, and SRE practices, he champions systems and cultures that foster high performance and continuous improvement. Over the past 15 years, he has built and led engineering organizations of more than 200 engineers in both blue-chip enterprises and dynamic startups, striking the right balance between structure and agility.
With a foundation in software engineering, he maintains a hands-on understanding of technology that informs his strategic and people-centered leadership. He is also an international speaker, community co-founder, and podcast co-host, sharing insights on leadership, engineering culture, and the future of technology.