Description
Optimize your brand visibility for AI-powered search engines and large language models
In The New Rules of AI Search: SEO for visibility in ChatGPT, Google Gemini and Generative Search, Crystal Carter delivers a practical guide to optimizing brand visibility across AI-powered platforms. As large language models transform how consumers discover products and services, traditional SEO strategies require fundamental updates to remain effective in this new search paradigm.
The New Rules of AI Search explores the technical and strategic dimensions of generative engine optimization. Crystal Carter examines how AI search platforms aggregate and present information differently than traditional search engines, providing actionable frameworks for ensuring your brand appears prominently when users query ChatGPT, Google Gemini, and similar platforms for recommendations and information.
Readers will also discover:
- Specific techniques for structuring content that AI systems can easily understand, cite, and recommend to users seeking information
- Strategies for building brand authority signals that large language models recognize and prioritize in their generated responses
- Methods for monitoring and measuring your brand's visibility across multiple AI search platforms and generative interfaces
- Practical approaches for adapting existing SEO infrastructure to meet the unique requirements of AI-powered discovery channels
- Frameworks for anticipating future developments in generative search and positioning your brand ahead of algorithmic changes
Essential for digital marketers, SEO professionals, brand managers, and business owners seeking to maintain competitive visibility, this guide provides the strategic foundation for succeeding as AI fundamentally transforms how consumers search for and discover information online.
Table of Contents
Chapter 1 The New Rules 1
Chapter 2 Be Real About How Your Customers Use AI Search 9
Chapter 3 Benchmark Before You Start 21
Chapter 4 Stay Ready So You Don't Have to Get Ready—for Data Ingestion 33
Chapter 5 One Strategy Doesn't Fit All—Content Strategies for Every Type of LLM Response 49
Chapter 6 Optimizations for Training-Data Responses 59
Chapter 7 Optimizations for RAG Responses 71
Chapter 8 New Brains, Same Internet: Reasoning Models for Marketers 83
Chapter 9 Optimizations for All LLM Response Types 95
Chapter 10 Embrace Experimentation 115
Chapter 11 Build Content Partnerships with AI Search Tools 131
Chapter 12 Be Prepared for the Agentic Era of AI Search 137
Chapter 13 Measure with the Right Stick 147
Chapter 14 "Rank" in AI Responses 157
Chapter 15 Track Your Performance: Making Prompt Tracking Work on Any Budget 165
Chapter 16 Tracking LLM Traffic: Finding Your Brand in the AI Sandbox 177
Chapter 17 Really, Really Know Your Customers 185
Chapter 18 Be the Answer They Can't Ignore 193
Resources 197
Acknowledgments 201
Index 203
-
- 洋書電子書籍
- 柴山充弘（著）／ソフトマターニュートロ…
-
- 洋書電子書籍
- 村上明・榊原啓之・川畑球一（共）編／機…
