Two acronyms have arrived to describe the same shift: buyers increasingly get their answers from AI rather than from a list of blue links, and the brands named in those answers capture the consideration that used to come from ranking. The two acronyms are GEO — Generative Engine Optimisation — and AEO — Answer Engine Optimisation. They are often used interchangeably, and the overlap is large, but they are not quite the same thing.

This guide explains what each term actually means, how they relate to classic SEO, and — the part most “GEO vs AEO” articles skip — how you actually earn citations in practice.

What is Generative Engine Optimisation (GEO)?

Generative Engine Optimisation is the practice of structuring your content, entities and data so that generative AI engines cite your business in the answers they generate. Where SEO optimises for a ranked link a user clicks, GEO optimises for being the source the model quotes when it answers a question directly.

The target engines are the ones buyers now use to research before they buy: Google’s AI Overviews (the largest by reach), ChatGPT and its search mode, Perplexity, and Claude. Each composes an answer from sources it trusts and, increasingly, names and links those sources. GEO is the discipline of being one of them.

What is Answer Engine Optimisation (AEO)?

Answer Engine Optimisation is the practice of structuring content as direct, self-contained answers to the specific questions your audience asks, so an answer engine can extract and surface them. The emphasis is on the question-and-answer shape of content: clear question, immediate answer, supporting detail underneath.

AEO is the older term. It grew out of optimising for featured snippets, voice assistants and “position zero” — the answer boxes that predate today’s generative engines. As those answer surfaces became AI-generated rather than extracted verbatim, the practice broadened, and GEO emerged to describe it.

GEO vs AEO: what’s actually the difference?

In practice they describe the same goal — being the cited source in an AI answer — from two slightly different angles. AEO emphasises the format (content shaped as extractable question-and-answer passages). GEO emphasises the mechanism (the full set of signals a generative model weighs when it decides who to cite: liftable passages, but also entities, authority, structured data and crawler access).

The cleanest way to hold it: AEO is mostly a content-structure discipline; GEO is AEO plus the entity, authority and technical signals that decide trust. If you do GEO properly, you are doing AEO. The distinction matters far less than the shared objective, and chasing a rigid definitional line between them is a waste of energy. We treat them as one practice.

How do GEO and AEO relate to SEO?

They are complementary to SEO, not a replacement for it. Classic organic search still drives the majority of qualified traffic for most businesses, and the foundations that win rankings — fast, clean rendering, valid structured data, crawlability, and genuine authority — are the same foundations AI engines use to decide who to cite.

The right model is one discipline with two outcomes: SEO wins the ranked link; GEO/AEO win the AI-generated answer above it. Running them as separate workstreams is how a brand ends up ranking on page one yet absent from the AI Overview sitting on top of it. This is exactly why we run SEO and GEO as a single service rather than treating answer-engine visibility as a bolt-on.

How do you actually get cited? The levers that work

Earning citations is less mysterious than the acronyms suggest. The levers, in rough order of impact:

  • Liftable answer passages. Open each section with a self-contained sentence that directly answers the implied question, before the supporting detail. A passage that makes sense quoted out of context is one an engine can lift; one that buries the answer below scene-setting is not.
  • Entity and authority signals. AI engines lean hard on demonstrable, first-hand expertise — especially on money, health and regulated topics where they are cautious about citing unverified sources. Clear authorship, a consistent organisation entity, and genuine operating experience all feed the trust signal.
  • Citable, accurate claims. Specific, verifiable statements get cited; vague marketing language does not. Inventing statistics to look authoritative is the fastest way to lose the trust the whole approach depends on — accuracy is a GEO asset, fabrication is a liability.
  • Citable structured data. Organization, Article, Breadcrumb and ItemList schema help engines resolve who you are and what you offer. Use ItemList for ordered steps — Google removed HowTo rich results in 2023.
  • AI-crawler access. None of the above matters if the engines can’t reach your content. Make sure GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended are not blocked in robots.txt, and publish an llms.txt to curate what matters.

Do you need FAQPage schema for AEO?

No. This is the most common AEO mistake. Google restricted FAQPage rich results to government and healthcare sites in August 2023, so adding FAQPage structured data to a typical business site earns nothing and can read as a manipulation signal. The content of a good FAQ is still valuable — answer engines happily cite a clear on-page question-and-answer block — but render it as plain HTML, not as FAQPage JSON-LD. The win is the answer, not the schema.

How do you measure GEO and AEO success?

By answer share and citations, not just rankings. The practical questions are: for the questions your buyers actually ask, does the AI surface your brand, does it cite your domain, and do the resulting sessions convert? It is the answer-engine equivalent of rank tracking plus attribution — presence in the answer, citation of your domain, and the downstream enquiries that follow. Because the field is young, the tooling is still maturing, so a measurement discipline — even a manual one, querying the engines for your priority questions and recording who gets cited — is worth setting up early.

Where to start

If you rank but you are not being cited in AI answers, that specific gap is what our GEO service exists to close — auditing how AI engines currently see, cite or ignore you, then engineering the answer passages, entity signals, structured data and crawler access that make you the cited source. If your priority is classic organic and ecommerce search, start with the combined SEO & GEO service. Either way, treat them as one discipline — the foundations overlap, and the brands that own their category in AI search are the ones that started before it matured.