Use GEO. It is the only one of the three with a traceable academic origin, the only one naming the right object — the generative engine, rather than the model — and, in Brazil, the only one consistently present in the vocabulary of people seeking the service. AIO is ambiguous enough to get in the way. LLMO names the wrong thing.
Choosing an acronym is a discovery decision, not a matter of conceptual precision. No engine
ranks you higher for writing the right acronym. What changes is whether someone looking for
the service finds your page. I write from murmur.marketing, a GEO (Generative Engine
Optimization) practice in Brazil, operated by Mateus Gomes.
Summary
- GEO — Generative Engine Optimization. Originates in Aggarwal et al., KDD 2024 (arXiv 2311.09735). It is the only one with its own paper and benchmark.
- AIO — a collision. In Brazil, readers interpret it as AI Overview, Google’s answer block, rather than “AI Optimization.” Using it makes readers think you mean something else.
- LLMO — names the model, not the engine. Much of what determines an appearance happens before the model: retrieval, indexing and crawling.
- AEO — legitimate, but rarely stands alone in the Brazilian market. It appears alongside others in “SEO · AEO · GEO.” It can be an entry point, not the main label.
- What the engine answers: in the broad-question family of my set, the most frequently cited vendor name appears 13 times in 120 captures. Broad questions return concepts, not brands.
- In practice: one main label, expanded once. Write GEO, spell it out on first mention, and name the alternatives only to clarify the distinctions.
What each acronym names, and where it falls short
| Acronym | In full | What it names | Where it falls short |
|---|---|---|---|
| GEO | Generative Engine Optimization | The entire generative engine: retrieval + generation | A new acronym that still needs an explanation |
| AIO | AI Optimization | A generic intention | ⚠️ Collides with AI Overview, a Google product |
| LLMO | Large Language Model Optimization | The model | Leaves out the preceding stages: retrieval, indexing and crawling |
| AEO | Answer Engine Optimization | Direct answers, inherited from the featured-snippet era | Does not circulate on its own in Brazil |
| GAIO | Generative AI Optimization | The same as GEO with an extra letter | Redundant; fragments the vocabulary |
AIO’s collision is the most serious and least discussed. In Brazilian search vocabulary, “AIO” already has an owner: AI Overview, the answer block Google displays above organic results. A page presenting an “AIO” service competes for the attention of people trying to understand Google’s block. They will read it as a page about the product, not the discipline.
LLMO’s weakness is conceptual and has practical consequences. A generative engine with search does two things in sequence: it retrieves documents, then generates text from them. Optimizing “for the LLM” names only the second. Yet much of what determines whether your brand appears happens before the model starts: whether the crawler reached the page, whether it was selected from the candidates, and whether the index contains it. The distinction is explained in Retrieval and generation in AI search.
Why GEO wins, for a rather mundane reason
It is not elegance. GEO is the only one with a paper and benchmark behind it.
Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande published Generative Engine Optimization at KDD 2024, introducing GEO-bench — 10,000 queries × 10 engines — and measuring the effects of writing interventions: source citations +115%, statistics +41%, and direct quotations +30%, against the benchmark described in the paper. When someone asks where the acronym came from, there is an answer with a DOI.
⚠️ The accompanying caveat matters because it challenges my own position. The critical survey arXiv 2607.14035 (Olivier Martinez, 2026-07-15) reviews 45 studies and rates that founding paper level C in its own evidence hierarchy. It concludes that none of the reviewed techniques demonstrates a stable, longitudinal, cross-platform causal effect. Having a paper is better than having none. It is not the same as having proof.
AEO is an entry point, not a rival
AEO, Answer Engine Optimization, came earlier and addressed a different problem: optimizing for direct answers in the featured-snippet era. In commercial practice, AEO and GEO are used interchangeably, and debating their boundary yields little.
What I observe in Brazilian vocabulary is specific and more useful than that conceptual debate: AEO almost never appears alone. It is attached to constructions such as “SEO · AEO · GEO,” as one item in a service list. Using AEO as your sole label means choosing a term the local market does not use on its own.
The practical recommendation: use GEO as the main label and mention AEO once in the body for people who searched for it. That is vocabulary coverage, not indecision.
The taxonomy I use: my own, not an industry consensus
The
murmur.marketingtaxonomy. This is not an industry consensus; the market uses AEO and GEO as synonyms. I use this distinction because it separates two stages requiring different remedies:
- Retrieval — the document is reached and selected from the candidates. This is what AEO’s legacy addresses: being the direct answer to a specific question.
- Generation — the brand survives the engine’s writing based on retrieved material. This is a writing problem: a statement at the start, the entity named beside the fact, and numbers with denominators.
- GEO — the umbrella covering both. Optimizing only generation leaves the page unretrievable; optimizing only retrieval produces a page that is retrieved and paraphrased without credit.
The label is deliberately inside the block. An excerpt containing only the definition must not reproduce it as though it were neutral.
How to use the acronym to build relevance
Use GEO when defining the service and spell out its full meaning at first mention. Then answer the page’s concrete need: what the discipline does, who should consider it, how SOV is measured, and which actions may influence it. The acronym helps readers recognize the topic; precise content, clear sources and evidence support understanding and retrieval.
For a company evaluating a strategy, naming the category is not enough. Define discovery and hiring questions, relevant engines, a baseline and competitors; then track brand presence over time. Murmur combines proprietary measurement software with specialist service to execute that strategy, not merely record citations.
What to do in practice
- Choose GEO and stay with it. Switching acronyms across the same site fragments your own signal.
- Spell it out on the first mention on every page: GEO (Generative Engine Optimization). The acronym is still new enough to need that.
- Mention AEO once in the body to cover people who arrived through that term.
- Do not use AIO as your main label. When discussing Google’s block, write AI Overview in full. That is what the acronym means to a Brazilian reader.
- Avoid LLMO unless the subject is genuinely the model, in which case name the model.
- Do not invent another acronym. The cost of fragmenting the vocabulary falls on whoever fragments it.
Frequently asked questions
Does changing the acronym on my pages change the chance of being cited by AI?
Not through the mechanism the question suggests. The engine does not reward the acronym: it retrieves pages answering the query and writes from them. The acronym changes which queries your page is a candidate for. That effect is real, but it precedes generation. Changing an acronym and expecting a shift in recommendation scores attributes to word choice an effect that belongs to vocabulary coverage.
Why is AIO problematic if the acronym exists and people use it?
Because it already means something else in the Brazilian context: readers interpret AIO as AI Overview, Google’s answer block. The collision is practical, putting your page among candidates for a query about a specific Google product, alongside pages explaining that block. If you need to discuss the block, spell it out. If you mean the discipline, the ambiguous acronym works against you on both fronts.
Is LLMO wrong, or merely less popular?
It is not wrong; it is too narrow for the work. The name points to the language model, while much of what determines a brand’s appearance happens before any model processes anything: crawler access, inclusion in the index, and selection of a document from the candidates. Naming a discipline after the final stage of a chain tends to encourage a practice that ignores the earlier stages. That is precisely the failure I see most often in client diagnoses.
If AEO and GEO are used as synonyms, why insist on distinguishing them?
Because the distinction helps me diagnose problems, not argue over terminology. Separating retrieval from generation identifies where to intervene when a page is cited as a source but the brand is absent from the body — a writing problem — or when the page is not retrieved at all, a different problem. It is a working distinction. That is why I label it as my own taxonomy instead of presenting it as a market definition. Doing the latter would be inaccurate, and I have committed to declaring that boundary.
Is it worth writing a separate page for every acronym?
No; that is the trap in the question. Nearly identical pages differing only in the acronym compete for the same intent and make the set look templated, precisely the pattern engines treat as low quality. What works is a strong page about the concept, with alternative acronyms named in the body where clarification helps the reader. Vocabulary coverage belongs within the text, not in multiplying URLs.
Who wrote this, and disclosure of interest
Mateus Gomes operates murmur.marketing, a SWAS GEO operation: proprietary software to
measure and track SOV, integrated with specialists in strategy and execution. I have a commercial
interest in recommending an acronym; therefore, I present the origin and observed use of each
term and distinguish them from Murmur’s internal taxonomy. The figure of 13 occurrences in 120
captures belongs to the historical universe described here; it is not a current market ranking.
Conclusion
GEO is a defensible choice because its origin is traceable, it names the whole engine rather than only the model, and it circulates in the Brazilian market without colliding with another meaning. AIO can be confused with AI Overview; LLMO names the model rather than the full retrieval-and- generation process; AEO works as an entry point rather than the main label. Most importantly, acronyms help people discover a service; they do not make an engine recommend a brand. On broad questions, the engine often returns a concept. Choose one label, spell it out, and focus the work on the measurement and interventions that can develop SOV.