GEO vs AEO vs LLMO vs AI SEO: Which Term Should Your Team Use?
A clear comparison of four overlapping labels for improving discovery, selection and citation across answer engines and generative search.
GEO, AEO, LLMO and AI SEO overlap, but they are not interchangeable in every context. The most useful choice is the term that makes the team’s objective clear. Use GEO for visibility in generated answers, AEO for direct-answer experiences, LLMO when the model and retrieval layer matter, and AI SEO as an accessible umbrella for stakeholders already familiar with SEO.
No label removes the need for conventional search fundamentals.
The four terms in plain English
Generative engine optimization (GEO)
GEO describes work intended to improve visibility in responses produced by generative engines. The 2023 GEO research paper framed the field around optimizing and measuring visibility within generated responses rather than only ranked links.
GEO is useful when citations, mentions, recommendations and answer inclusion are the outcome.
Answer engine optimization (AEO)
AEO predates the current generative-search wave. It focuses on making information suitable for direct answers, featured snippets, voice results and question-led interfaces. Answer-first structure is part of AEO, but modern generated answers may retrieve and synthesize many pages rather than extract one short response.
Large language model optimization (LLMO)
LLMO emphasizes how brand and content information is represented to LLM-powered systems. It can include retrieval, entities, model knowledge, citations and monitoring across assistants.
The term is precise for technical or research teams, but it can be misunderstood as changing a model directly. Most organizations control their sources and distribution, not the model.
AI SEO
AI SEO is the most intuitive umbrella for many executives. It signals an extension of search work into AI-powered interfaces. Its weakness is ambiguity: it may mean using AI to perform SEO rather than optimizing visibility in AI search.
Where they overlap
All four disciplines can include:
- crawl and index access;
- clear, useful content;
- entity consistency;
- structured data that matches visible facts;
- independent authority;
- measurement of mentions, citations and traffic.
Google explicitly says its standard SEO best practices remain relevant to AI Overviews and AI Mode, with no special AI file or schema required. That is a strong reason not to isolate this work from technical SEO.
A decision matrix
| If your primary objective is… | Use this working term |
|---|---|
| visibility in generated, cited answers | GEO |
| concise answers across search and voice | AEO |
| model/retrieval representation and research | LLMO |
| executive communication around search change | AI SEO |
| a cross-functional enterprise program | AI visibility |
The label “AI visibility” is often best for governance because it describes the outcome without implying a single mechanism.
Pick one external term and define it
Teams do not need to eradicate the other labels. Choose one lead term for navigation, reporting and commercial positioning, then publish a definition.
A practical wording is:
We use AI visibility as the program name and GEO as the optimization discipline for earning accurate mentions, citations and recommendations in generated answers.
This keeps measurement distinct from tactics.
Avoid terminology-led duplication
Do not publish four near-identical service pages merely to target four acronyms. That creates cannibalization and weakens the site’s entity model. Build one authoritative definition hub, then use separate pages only where the intent is genuinely different.
For example, an LLMO-versus-SEO comparison answers how the discipline differs from traditional search, while the complete AI visibility framework describes the operating system. This page resolves naming.
Metrics should follow outcomes, not labels
Regardless of terminology, report:
- prompt coverage and sampled visibility;
- mention, citation and recommendation rates;
- factual accuracy and sentiment;
- source and landing-page distribution;
- competitive share of voice;
- referral traffic and assisted business outcomes.
A new acronym does not justify a new vanity score.
Frequently asked questions
Is GEO replacing SEO?
No. Search indexing, page quality, internal links and technical accessibility remain important inputs to many AI search experiences.
Is AEO only for voice search?
No. It covers direct-answer experiences more broadly, although generative synthesis now extends beyond traditional single-answer extraction.
Which term has the strongest academic origin?
GEO has a clear research lineage through the 2023 paper that introduced a formal optimization framework for generative engines.
Should an agency target every acronym?
Only where each page solves a distinct user need. One well-defined category page is usually stronger than several synonym pages.
