AI search

Answer engine optimization

AEO · answer engine optimisation

Definition

Answer engine optimization is the practice of making a page or passage the extractable answer a system reads out or boxes, instead of one more blue link. Jason Barnard used the name in 2017 around featured snippets, voice assistants, and the answer box. Search Engine Watch put the phrase in front of the industry on 7 February 2018. The original target was “position zero” and spoken answers. Teams now stretch AEO to chat-style engines as well, which is why the label collides with GEO.

The unit is the passage. Rankers that fill a snippet, a People Also Ask card, a voice response, or the first paragraph of an Overview need a short block that states the answer, then the proof. A 4,000-word pillar that hides the definition under a hero video is a bad AEO document even if it ranks.

How it works

Write the answer in plain sentences near the top. Follow with the exception, the number, and the date. Mark up the page with schema that matches what is on screen (FAQ, HowTo, Organization) and do not invent reviews. Keep the page indexed. Earn third-party pages that repeat the same entity facts so the engine is not guessing who you are.

Example: a credit-union page titled “What is a share draft account?” opens with a 42-word definition, then a three-step example with dollar figures, then eligibility. It wins the featured snippet for the query and is the sentence Google Assistant reads. A competitor’s page ranks two spots higher in classic results but starts with a brand manifesto. AEO work moved the snippet. It did not, by itself, put the credit union into a ChatGPT comparison of “best credit unions in Ohio.” That second job is closer to GEO and to entity-level earned media.

How it differs

SEO is about ranking the URL. AEO is about being lifted as the answer. GEO, as Aggarwal et al. defined it, is about visibility inside a generated, often multi-source response. Vendor blogs disagree on which acronym covers ChatGPT. One workable split: AEO for extractive answer surfaces (snippets, voice, a single boxed answer); GEO for synthesized, cited answers from generative engines. If your team uses AEO for both, say so in the measurement plan so nobody thinks a snippet win equals a Perplexity citation.

Common errors

Stuffing FAQ schema that does not appear on the page. Writing 20-word “answers” that omit the number a model needs. Treating Barnard’s 2017 term as a 2025 product feature. Optimizing for one query’s snippet and ignoring the entity contradictions on the rest of the site.

Sources