Cracking the Code
Your Complete Guide to AI Visibility Optimization
By Emma Jones
The Three Pillars of AI Visibility
This book breaks down the new discipline of AI visibility into three essential pillars that every brand, marketer, and business leader needs to understand.
GEO
Generative Engine Optimisation
Learn how to optimise your content specifically for generative AI search engines. The book covers how LLMs retrieve, synthesise, and cite content, and provides practical frameworks for structuring your digital presence so generative engines choose your brand. Includes step-by-step guides for schema markup, entity definition, and topic authority building.
AEO
Answer Engine Optimisation
Discover how to position your content as the definitive answer when AI assistants respond to user queries. AEO goes beyond keywords to focus on intent alignment, concise authority, and structured information that AI systems can confidently present. The book provides real examples of AEO strategies that increase direct citation rates.
AI Citation Strategy
Building Referenceability
Understand the mechanics of how AI platforms decide which sources to cite and how to systematically build your brand's "referenceability". Covers the Aggarwal Framework, source credibility signals, E-E-A-T in the AI context, and how to create a citation flywheel that compounds your visibility across ChatGPT, Perplexity, Claude, and more.
The Shift to AI-Mediated Discovery
The way people discover brands, products, and services is fundamentally changing. Gartner predicts a 25% drop in traditional search traffic by 2026, and that figure may be conservative. Consumers are increasingly turning to AI assistants—ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, and DeepSeek—for recommendations, comparisons, and research that they previously conducted through search engines.
This shift creates both an urgent challenge and a massive opportunity. Brands that understand how AI platforms select, evaluate, and cite sources can position themselves at the forefront of this new discovery paradigm. Brands that ignore it risk becoming invisible to a growing segment of their potential audience.
Cracking the Code is the first comprehensive guide to navigating this transition. Written by Emma Jones, it combines academic research (including the Aggarwal Framework), real-world case studies, and practical implementation guides into a single resource. Whether you are a marketing director, SEO professional, agency strategist, or business owner, this book gives you the knowledge and tools to ensure your brand thrives in the age of AI.
Topics covered include: how retrieval-augmented generation (RAG) works and why it matters; the signals AI platforms use to evaluate source quality; how to audit your current AI visibility; building a content strategy for AI-first discovery; measuring ROI on AI visibility efforts; and future-proofing your brand as AI technology evolves.
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