Answer Engine Optimization (AEO)
An earlier term for optimizing content to appear in AI-generated answers, now largely synonymous with GEO.
AEO predates the widespread adoption of large language models. It was coined to describe optimization for featured snippets and voice assistants (Siri, Alexa) in Google's answer boxes. As ChatGPT, Perplexity, and similar tools became dominant search surfaces, AEO evolved to cover LLM citation — and the term GEO (Generative Engine Optimization) became more common.
AEO vs GEO
Both terms describe the same goal: making your content the source an AI cites when answering user questions. GEO is now the preferred term among practitioners working specifically with LLM-powered search engines like ChatGPT Search and Perplexity. AEO is still used in the context of voice search and older featured-snippet optimization.
Core Techniques
- Question-answer content structure — Write content that directly answers the questions your audience asks
- FAQ schema markup — Implement FAQPage structured data so AI can extract Q&A pairs
- Concise definitions — Provide a clear one-sentence definition at the start of every key concept
- Entity signals — Build consistent brand mentions so AI models recognize you as an authoritative source
Frequently Asked Questions
- Should I use AEO or GEO in my marketing materials?
- GEO is now more widely recognized, especially among audiences familiar with LLM-powered search. Use AEO if your audience includes voice search or featured-snippet optimization contexts.
- Is AEO only for voice search?
- Originally yes, but the term expanded to cover all AI answer surfaces. Today it encompasses ChatGPT, Perplexity, Google AI Overviews, and voice assistants.
Want to know how your brand appears in AI answers?
Run an AnswerAtlas AI Visibility Audit and see whether ChatGPT, Perplexity, Claude, Gemini, and Google AI results mention your brand or your competitors.