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Generative Engine Optimization. The Definitive Guide to AI SEO
Ross Hudgens
Generative Engine Optimization. The Definitive Guide to AI SEO
Ross Hudgens (Author) · Wiley · Hardcover
Generative Engine Optimization. The Definitive Guide to AI SEO
Ross Hudgens
Optimize your content for AI answer engines and protect your organic traffic
As 77% of ChatGPT users now treat it like a search engine, traditional SEO alone no longer secures brand visibility. Generative Engine Optimization (GEO): The Definitive Guide to AI SEO, by Siege Media founder Ross Hudgens, is a practical guide to optimizing content for AI SEO and answer engines including ChatGPT, Google Gemini, Perplexity, and Claude so your brand appears positively in LLM-generated responses.
Generative Engine Optimization (GEO) covers the practice of structuring content so it performs well inside LLM-powered systems that generate responses rather than retrieve links. Hudgens draws on experience driving organic growth for clients like Adidas, HubSpot, Instacart, and TripAdvisor to show how SEO practitioners and marketing leaders can modernize their search programs and drive measurable sales through AI SEO tools.
Readers will also discover:
Actionable strategies for increasing how often AI tools mention your brand positively in generated responses Techniques for adapting existing SEO and content marketing workflows to account for LLM-driven search behavior Methods to future-proof your organic growth program as traditional search engine traffic declines across industries Guidance for marketing leaders on evaluating and implementing GEO practices across content, PR, and affiliate teams Real-world approaches from an agency that has driven organic growth for blue-chip brands like Airbnb and HubSpotIdeal for SEO practitioners, marketing leaders at technology companies, CMOs, and content marketers, Generative Engine Optimization (GEO) provides the frameworks needed to modernize search programs, secure brand visibility inside AI answer engines, and stay ahead as consumer search behavior shifts toward large language models.
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