AEO (Answer Engine Optimization) emerged from the observation that Google and AI assistants no longer behave as simple link directories. They interpret intent, construct a response, and select a source. AEO is about becoming that source.

The distinction from GEO is often blurred in practice. AEO focuses on direct, deterministic responses — featured snippets, voice answers, definition boxes — while GEO targets citation within the generative outputs of LLMs more broadly. Both disciplines share the same optimization levers.

What Google considers a "good answer"

To be selected as a direct response, content must simultaneously satisfy three criteria: precisely match the expressed intent, be structured to facilitate extraction (short paragraphs, answer at the opening of each section), and come from a source deemed sufficiently authoritative and trustworthy on the topic. A comprehensive piece on a related subject will never be preferred over precise content that directly answers the question asked.

Formats that perform in AEO

The most effective formats are those engines can extract without effort: definitions at the opening of paragraphs ("[Term] is..."), numbered lists for step-by-step processes, comparison tables for distinguishing concepts, and FAQ blocks with naturally phrased questions. FAQPage and HowTo structured data reinforce these signals directly in the page code.

AEO and LLMs: a shared logic

AI assistants in RAG mode — Perplexity, Bing Copilot, Google AI Overviews — use exactly the same signals to select their sources. Well-optimized AEO content is therefore structurally ready for GEO. This is no coincidence: both target the same machine-extractability capability.