In short
GEO, AEO and LLMO are three labels for substantially the same work: making your content likely to be quoted in AI-generated answers. GEO is winning as the umbrella term. The differences between the labels are marketing, not method, so pick one, use it consistently, and spend your energy on the work.
Key points
- All three describe the same practice. The deliverables are identical.
- GEO comes from a 2023 academic paper and has become the default umbrella term.
- AEO is older, born in the featured-snippet era, and now used interchangeably with GEO.
- LLMO never caught on outside vendor decks.
- Anyone selling them as separate services is selling one service three times.
The short version
The three labels describe one practice: making your content likely to be retrieved, selected and quoted by AI answer engines. Ask three practitioners to list the deliverables behind each term and you get the same list three times: answer-first structure, quotable evidence, entity building, crawler access, citation tracking.
I use GEO, because clients started using it first and the industry followed. That is the entire depth of my reasoning, and it is enough.
Where each label came from
| Label | Stands for | Origin | Where it stands now |
|---|---|---|---|
| GEO | Generative Engine Optimization | Academic paper, November 2023 | The default umbrella term |
| AEO | Answer Engine Optimization | Featured-snippet and voice-search era, around 2016 | Alive, used interchangeably with GEO |
| LLMO | Large Language Model Optimization | Vendor coinage, 2023 | Rare outside sales decks |
GEO has the cleanest pedigree. It was coined in the paper that first measured what raises visibility in generated answers, from researchers at Princeton, Georgia Tech and IIT Delhi, and the acronym stuck because the paper gave people something concrete to point at.
AEO is genuinely older. It grew out of optimising for featured snippets and voice assistants, answer boxes before answer engines. The habits it taught, direct answers under clear questions, transferred so cleanly to AI search that the term migrated with them.
LLMO tried to name the same thing after the technology rather than the behaviour, and never found an audience. You will meet it in proposals, rarely in practice.
Does the distinction ever matter?
Once, slightly. If someone insists on a difference, the least dishonest version is aim: AEO's roots are in winning Google's answer boxes, GEO's framing is winning mentions across every generative engine. In 2026 that distinction buys you nothing operationally. The page that wins a featured snippet and the page that gets cited by Perplexity are shaped the same way.
Where the labels do matter is procurement. If a vendor quotes you separately for SEO, AEO and GEO, you are looking at one scope of work invoiced three times. Ask for the deliverables under each line item and watch the lists converge.
When this does not apply
None of this is worth arguing about inside your company. If your CMO says AEO and your agency says GEO, you are already aligned and the meeting can end early. The only time the vocabulary deserves attention is when it appears as separate line items on an invoice.
FAQ
What is the difference between GEO and AEO? In practice, none. Both describe making content likely to be quoted in AI-generated answers. AEO is the older term, from the featured-snippet era, and GEO is the newer umbrella term from the 2023 research paper. The deliverables behind both are identical.
What does GEO stand for? Generative Engine Optimization: the practice of making a website more visible in answers written by generative AI systems such as Google AI Overviews, ChatGPT and Perplexity. The term comes from a 2023 academic paper that first measured this experimentally.
What does AEO stand for? Answer Engine Optimization: optimising content to be the answer to a question rather than one result for a keyword. It predates modern AI search, growing out of featured snippets and voice assistants, and is now used interchangeably with GEO.
What does LLMO stand for? Large Language Model Optimization, a 2023 coinage for the same practice named after the technology instead of the behaviour. It never achieved wide use and mostly appears in vendor material.
Which term should I use? Whichever your clients or colleagues already use, applied consistently. GEO is the safest default in 2026 because it has become the umbrella term. Changing anyone's vocabulary is effort better spent on the work itself.
Are GEO and SEO different things? They overlap heavily rather than compete. SEO earns positions in ranked results, GEO earns mentions inside generated answers, and both run on the same foundation of crawlable, authoritative, intent-matched content. The practical framing is SEO as the base with GEO as a layer on top.
Sources
- GEO: Generative Engine Optimization, Aggarwal et al., first posted November 2023, published at KDD 2024, where the term originates
- Contemporary industry usage across the major SEO publications, where GEO and AEO now appear as synonyms
- First published.