What Is SEO for AI Called? GEO, AEO, and LLMO Explained
The market has not settled on a single name for optimizing your presence in AI answers. Here is every label in circulation (GEO, AEO, LLMO, AI SEO, AIO), who uses each one, where the terms came from, and how much the choice matters.
The short answer
SEO for AI is most commonly called GEO, short for generative engine optimization, or AEO, answer engine optimization. You will also see LLMO (large language model optimization), AI SEO, and AIO (AI optimization). All 5 labels name the same practice: earning mentions, citations, and recommendations for your brand inside AI-generated answers from ChatGPT, Gemini, Perplexity, and Google’s AI surfaces. No official body has settled the vocabulary, and GEO is the closest thing to a standard name in 2026.
The confusion is measurable. As of August 2026, searches asking what this practice is called have nearly tripled year over year, while searches for the bare term GEO have fallen by nearly half. People are adopting the work faster than they are agreeing on a word for it. This page settles the naming question: every label in circulation, who uses which, where each came from, and how much the choice actually matters. If what you want is how the new discipline differs from classic SEO, that comparison lives in our GEO vs SEO guide; this page is about what to call it.
What is SEO for AI called?
5 names are in active circulation, and they are not equally common. The table ranks them by how often you will meet each one in tools, agency proposals, and job posts, with the nuance each name carries.
| Name | Stands for | Who uses it | What the name emphasizes |
|---|---|---|---|
| GEO | Generative engine optimization | Marketing teams, agencies, and most tool vendors. The nearest thing to an industry default. | Answers generated by AI models. Coined in research, adopted industry-wide in under a year. |
| AEO | Answer engine optimization | SEOs who worked through featured snippets and voice search; several enterprise platforms. | Engines that answer questions directly, generative or not. The oldest label still in use. |
| AI SEO | Not an acronym; SEO with AI attached | Small businesses and generalist marketers. | Continuity with familiar SEO. Ambiguous: also used to mean doing classic SEO with AI tools. |
| LLMO | Large language model optimization | Technical and academic writing; rare in day-to-day marketing. | The models themselves (ChatGPT, Claude, Gemini) rather than any search surface. |
| AIO | AI optimization | The least settled label; some agencies and consultants. | Doubles as shorthand for Google’s AI Overviews, so read it in context. |
A 6th term belongs in the picture without being a name for the practice. AI visibility is the outcome every label above chases: whether AI engines actually mention, cite, and recommend your brand. GEO is something you do; AI visibility is something you have. The measurement side of that vocabulary, including the metrics behind it, is covered in our guide to what LLM visibility means.
Whatever you call it, measure it first
The Cruelx AI Visibility Scan asks 6 AI surfaces (ChatGPT, Gemini, Google AI Overviews, Google AI Mode, Perplexity, and Claude) 15 buyer-style questions about your business, 3 times each (270 asks), with every collected answer stored as evidence you can read.
The report shows, engine by engine, where you are recommended, mentioned, invisible, or misdescribed, and ends with a prioritized fix list. $19.99, one time, no subscription.
What is AI SEO called?
If you arrived at this page through the name AI SEO, the answer needs 1 extra step, because AI SEO is the most ambiguous label in the family. It is used for 2 different jobs. The first is doing classic SEO with AI tools: drafting content, clustering keywords, automating audits. The second is optimizing your presence in AI-generated answers, which is the practice this page is about. Same 2 words, 2 different deliverables.
The industry is slowly splitting the meanings. The tool-assisted kind increasingly goes by AI-assisted SEO, or simply SEO, since the deliverable is unchanged. The answer-presence kind is consolidating under GEO and AEO. So the direct answer: AI SEO, when it means optimizing for AI answers, is properly called GEO (generative engine optimization) or AEO (answer engine optimization). If a proposal or a contract says AI SEO, ask which of the 2 meanings it intends before you compare it with anything else.
Where did each name come from?
AEO is the oldest label still in use, and it predates the chat assistants. The term was coined when featured snippets and voice assistants were the main surfaces answering questions directly, and it carried over naturally when generated answers replaced spoken ones. Platforms and agencies that built featured-snippet practices tend to keep the name.
GEO has the most precise birthday of the set. The name comes from a November 2023 research paper, GEO: Generative Engine Optimization, by researchers at Princeton, Georgia Tech, and the Allen Institute for AI, which named the practice, benchmarked 9 optimization methods, and was presented at KDD 2024. The term jumped from paper to industry in under a year and now has its own Wikipedia entry. That academic origin is part of why it won so much ground: it arrived with a definition and measured evidence rather than a vendor pitch.
LLMO is the literalist’s label: optimize for large language models. It shows up in technical and academic writing and rarely survives contact with a marketing meeting. AIO is the loosest of the set, because it is also common shorthand for Google’s AI Overviews; when you meet it, check whether it names the practice or the surface.
llms.txtis a proposed text file that gives AI systems a curated map of your site’s key pages. Our guide to what llms.txt is covers the file and the evidence on whether it works, and the free llms.txt generator builds and validates one for your site.The most telling naming decision belongs to Google. Its guidance on AI features in Search adopts none of the acronyms: it frames the entire practice as standard SEO applied to AI surfaces, with no separate trick list. The company running the largest AI answer surface, in other words, declines to agree that the practice needs a new name at all.
Which name is winning?
GEO leads, but the vocabulary is consolidating rather than settled, and the search data is unusually clear about it. 3 signals, observed in August 2026 keyword data:
- The naming question is growing. Searches asking what SEO for AI is called are up 191% year over year. A market asks that question loudly right before it agrees on a word, and it has not agreed yet.
- The head term is shrinking. Searches for the bare term GEO are down 46% over the same period. Fewer people look up the label; more people look up the question and the work itself.
- The synonyms persist. The parallel question of what AI search optimization is called is up 600% year over year. Every label still has an audience arriving under it.
The practical read: use GEO when you need a single word, and expect to translate. Write for readers who may arrive under any of the labels, and describe the outcome in plain words alongside whichever acronym you pick: being mentioned and recommended in AI answers. Betting a job title, a service page, or a content strategy on 1 acronym winning outright is a bet the data does not support yet.
Does the name you pick change the work?
No. Under every label, the work is the same: earning presence in generated answers rather than positions in ranked results, with the emphasis shifting from rankings alone toward extractable answers, citable evidence, and third-party proof. The vendors arguing hardest about terminology are selling near-identical services, which is exactly why the acronym on the invoice matters less than what gets measured.
What matters more than the name is the question underneath it, which is concrete and measurable: when buyers ask AI engines for options in your category, are you in the answer? The Cruelx AI Visibility Scan answers that across 6 engines for $19.99, one time, reporting appearance rates per engine so you start from where you actually stand. And once you have a baseline, the playbook for improving it, source by source, is our guide to getting recommended by ChatGPT and the other AI assistants. The vocabulary will settle on its own schedule. Your visibility does not have to wait for it.
Frequently asked questions
What is SEO for AI called?
SEO for AI is most commonly called GEO (generative engine optimization) or AEO (answer engine optimization). LLMO (large language model optimization), AI SEO, and AIO (AI optimization) circulate as well. All 5 labels describe the same practice: earning mentions, citations, and recommendations for your brand inside AI-generated answers from engines like ChatGPT, Gemini, and Perplexity. As of 2026, GEO is the closest thing to a standard name.
What does GEO stand for in marketing?
In marketing, GEO stands for generative engine optimization: the practice of increasing how often AI answer engines mention, cite, or recommend your business. The name comes from a November 2023 research paper by researchers at Princeton, Georgia Tech, and the Allen Institute for AI, presented at KDD 2024, and it moved into mainstream marketing vocabulary in under a year. It is unrelated to the geographic sense of geo used in geotargeting.
Should I say GEO or AEO?
Either is understood, and the 2 names describe near-identical work. GEO is the safer default in 2026: it is the more current term and the one most tools and agencies use. AEO still reads naturally with audiences who came up through featured snippets and voice search, where the term originated. Whichever you choose, define it in plain words on first use, because your reader may have met the practice under the other name.
What is LLMO?
LLMO stands for large language model optimization. It names the same practice as GEO, framed around the models themselves (ChatGPT, Claude, Gemini) rather than a search surface. The label appears mostly in technical and academic writing and is the rarest of the major terms in day-to-day marketing. It is also not the same thing as llms.txt, which is a proposed file that lists a site's key pages for AI systems, not a marketing discipline.
Does AI SEO mean using AI for SEO or optimizing for AI?
Both, which is why AI SEO is the most ambiguous label in the family. Some use it for doing classic SEO with AI tools, like drafting content or automating audits. Others use it for optimizing a brand's presence in AI-generated answers, the practice properly called GEO or AEO. The 2 jobs have different deliverables and different measurements, so when a proposal or a job post says AI SEO, ask which meaning it intends.
Is there an official name for SEO for AI?
No. No standards body has ruled, and Google's own documentation adopts none of the acronyms: it frames work on AI surfaces as standard SEO. In practice, GEO is the most widely used name, AEO is a close second, and search data from 2026 shows the vocabulary still consolidating, with the naming question growing while the bare GEO term shrinks. Expect several labels to coexist for years.
Is AI visibility another name for GEO?
No, and the distinction is useful. GEO, AEO, and LLMO name work you do; AI visibility names the result you have: how often AI engines actually mention, cite, or recommend your brand, measured as an appearance rate per engine. You perform GEO, and you measure AI visibility. Keeping the 2 apart makes vendor claims easier to evaluate, because a tool sells you either the doing or the measuring.
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