What is AEO (Answer Engine Optimization)?

Definition

Answer Engine Optimization (AEO) is the practice of ensuring your brand appears — accurately and prominently — when users ask AI systems like ChatGPT, Perplexity, or Gemini research questions in your category. It spans measurement (are we cited?), gap analysis (where are we missing?), and production (what content closes the gap?).

AEO vs monitoring-only tools

Dedicated AEO analytics platforms excel at dashboards: mention rates, share of voice, prompt tracking. What they cannot do is write the article that fixes a detected gap. Teams export insights into a CMS, brief a writer, run a separate SEO check, and hope the new content moves the needle. AEO for content teams means measurement and production in one loop.

AEO vs GEO

GEO optimizes the article before publish — structure, entities, FAQ blocks, crawl readiness.

AEO measures outcomes after publish — vacuum checks on target queries, citation signal trends, bot crawl activity, and competitor prominence in real ChatGPT / Perplexity / Claude answers.

Run GEO when drafting. Run AEO checks after publish. Iterate when gaps persist.

Getting started with AEO

Pick 5–10 commercial queries your ICP asks AI systems. Run reachability audit (robots.txt, llms.txt, sitemap). Execute vacuum checks to see brand and competitor prominence. Queue gaps with Write to displace actions. Publish GEO-optimized articles. Re-check weekly. Track citation signals in Brand Cockpit over time.