AEO - Answer Engine Optimization
How to structure content so AI systems can extract and cite direct answers.
88 articles · Page 1 of 8
AEO Acronym and Glossary Patterns
Acronym and glossary patterns for AEO: first-mention expansion, abbr markup, inline vs glossary block, and DefinedTerm/DefinedTermSet schema for AI extraction.
AEO Anchor Text Phrasing Reference
Reference for AEO anchor text phrasing: how AI engines verbalize citations with 'according to', brand-stem patterns, and reporting-verb selection.
AEO Answer Block Schema Specification: A Markup Standard for Extractable AI Answers
A vendor-neutral specification for an AEO answer block schema using Schema.org Answer plus JSON-LD so generative engines can reliably extract and cite atomic answers.
AEO Bold and Emphasis Extraction Patterns
How AI engines weight bold, italic, and emphasis tags during answer extraction—patterns for using emphasis to surface key claims without keyword-stuffing penalties.
AEO Callout Box Extraction Patterns for AI Snippet Optimization
A framework for callout boxes (note, warning, tip, info, danger) that AI engines extract cleanly: types, ARIA roles, summary-first patterns, and MDX vs raw HTML.
AEO Citation Anchor Density Framework
Framework for tuning citation anchor density per content type so AI overviews extract sources without spam-flagging or pass-over.
AEO Citation Anchor Patterns Framework
Framework for anchor-text and inline citation patterns that maximize AI engine pickup: source-first phrasing, hyperlinked entities, and authoritative bylines.
AEO Comparison Table Schema Specification: Markup Standard for Side-by-Side Answers AI Engines Can Extract
AEO comparison table schema: a Schema.org ItemList + PropertyValue markup pattern AI engines extract cleanly into citable side-by-side answers.
AEO conditional answer patterns
AEO conditional answer patterns: write if-then content so AI engines extract the correct branch instead of conflating mutually exclusive conditions.
AEO Content Checklist
A 30-point AEO content checklist across five pillars (Answerability, Authority, Freshness, Structure, Entity Clarity) to make pages reliably AI-citable in 2026.
AEO Content Readability Grade Framework
Framework for targeting Flesch-Kincaid 8-10 readability on AEO content to maximize AI overview pickup without sacrificing technical accuracy.
AEO Data Table Citation Patterns for Structured Data Extraction
A framework for structuring HTML data tables so AI engines extract them cleanly: thead/tbody, scope, captions, Dataset schema, and CSV alternatives.