Free, evidence-led guides

GEO and AI search, without the theatre.

Clear explanations of how AI search crawls, retrieves and cites—and practical methods for content, technical access and measurement. Adapted from the book, checked against primary platform documentation.

  1. 8 min read

    What is Generative Engine Optimisation?

    GEO is the practice of making content easy for AI search systems to retrieve, understand and cite. Learn how it extends SEO and what actually changes.

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  2. 9 min read

    How AI search retrieves and cites sources

    A clear six-stage model of query fan-out, retrieval, chunking, reranking, synthesis and citation—and how to create passages AI systems can use.

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  3. 10 min read

    AI crawler robots.txt guide

    Understand search, user-triggered and training crawlers; configure robots.txt for AI visibility; and test the CDN, firewall and rendered response.

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  4. 9 min read

    How to write content AI search can cite

    Use answer-first sections, explicit entities, evidence, tables and passage-level structure to make useful content easier for AI search to retrieve and quote.

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  5. 10 min read

    How to measure AI search visibility and citations

    Build a repeatable GEO measurement system using prompt sets, citation rate, cited URLs, GSC, GA4, Bing AI Performance and conversion evidence.

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Cover of The AI Search Handbook.

The full system

Five free guides. Sixty-two connected chapters.

The blog answers focused questions. The book connects the machinery, technical foundations, content craft, authority, commerce, measurement and a 90-day implementation plan.

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