Answer Engine Optimization: A Practical Strategy Framework
A six-step answer engine optimization framework built on five dependent layers: access, extraction, attribution, corroboration and measurement.

A six-step answer engine optimization framework built on five dependent layers: access, extraction, attribution, corroboration and measurement.

Key takeaways Google rankings and AI citation share are produced by entirely separate systems — optimising for one does not move the other. AI models surface content based on entity clarity, answer density, and presence in training corpora like Common Crawl — not Domain Authority or keyword position. RAG-based tools (Perplexity, Microsoft Copilot, ChatGPT Browse)…
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