Tendance Updated 2026-06
Answer Engine Optimization (AEO)
Answer Engine Optimization
Definition
Answer Engine Optimization (AEO) is the practice of optimizing content to be cited directly inside AI answer engines (ChatGPT, Perplexity, Google AI Overviews) rather than only ranking for traditional blue links.
See also in the glossary
L
LLM (Large Language Model)
An LLM is an AI model trained on billions of texts, capable of understanding and generating human language.
R
RAG (Retrieval-Augmented Generation)
RAG is a technique that connects an LLM to external data sources to generate more accurate and up-to-date answers.
P
Prompt Engineering
Prompt engineering is the art of crafting precise instructions to get the best results from an AI model.
A
AI Hallucination
An AI hallucination is a response generated by an AI model that appears plausible but is factually incorrect or fabricated.
Tools that use answer engine optimization
Frequently Asked Questions
What is the difference between AEO and SEO?
Traditional SEO aims to rank a page among Google's blue links. AEO aims to be the source cited inside an AI-generated answer (ChatGPT, Perplexity, AI Overviews). It is closely related to GEO (Generative Engine Optimization), a near-synonym.
How do you optimize for AI answer engines?
Structure content as clear question-and-answer blocks, add structured data (FAQ schema), answer directly and factually in the first paragraph, cite sources, and cover long-tail conversational queries. Answer engines favor concise, well-sourced, easily extractable content.
