Digital Discovery Optimization: Architecting Factual Authority in the Age of AI Search

By Leighanne Turner

Search didn't die. It changed shape.

For over a decade you adapted to every update, every ranking shift, every zero-click surprise. Now AI Overviews, ChatGPT, Perplexity, and Claude answer the question before anyone reaches your site, and the spoils go to the sources the AI trusts enough to cite, not the pages that rank.

Digital Discovery Optimization is the field guide for that shift. It traces the arc of modern discovery, from classic SEO to Answer Engine Optimization (AEO), to Generative Engine Optimization (GEO), to the agent-ready organization that autonomous AI can read, query, and act on-and shows you how to build the verifiable factual authority every layer rewards.

Inside, you'll learn how retrieval-augmented generation (RAG) actually chooses what to cite, why "chunking" decides whether your content survives retrieval, how adversarial GEO and AI poisoning threaten the systems we rely on, and why model collapse makes human-verified Ground Truth the most valuable asset a brand can own. You'll also meet the new role at the center of it all, the Information Optimizer, and the skills that make you indispensable once machines do the reading.

Shelves are full of quick-win playbooks. This is the architecture underneath: how to stay discoverable, credible, and cited as search becomes something machines do on our behalf.

If you're an SEO, content strategist, or marketing leader who survived the updates and wants to lead what comes next, start here.

• Format: Paperback
• Language: English
• ISBN: B0GF6VB8RL
• ISBN13: 9798218908140
• Release Date: January 2026
• Publisher: Leighanne Turner
• Length: 116 Pages
• Weight: 0.36 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"