Answer Engine Optimisation

What it is

Answer Engine Optimisation is the practice of structuring content so discrete facts can be lifted directly into AI answers with minimal reshaping. It is a close cousin of GEO that emphasises clean, parseable statements and unambiguous attribution over narrative flow.

Why it matters

Answer engines reward content they can extract confidently, so parseable facts increase the odds of being selected and reduce the risk of misattribution. It positions a brand as the canonical source for a specific answer.

How it works

Write one clear fact per sentence, pair claims with named sources and dates, and use structured formats such as definition lists, tables, and schema markup so machines can map question to answer. Remove hedging language that makes a fact ambiguous to extract.

When it applies

It applies to factual, definitional, and how to queries where a single correct answer can be stated plainly.

Examples

• A recipe site marks up cooking times and yields so an assistant returns the exact figure when asked.
• A finance glossary states each definition in a single unambiguous sentence and becomes the quoted source for that term.
• A support knowledge base reformats troubleshooting steps into numbered, self contained instructions that an assistant reads back verbatim.

How it is measured

• Rate of correct attribution when your fact appears in an answer
• Number of distinct questions for which you are the extracted answer
• Coverage of target questions with a clean, parseable answer on page
• Reduction in answers that cite a competitor for facts you also publish