AEO vs GEO vs LLMO — Making Sense of AI Search Terminology

The Alphabet Soup of AI Search Optimization

If you've spent any time researching how to optimize for AI search, you've probably encountered a confusing alphabet soup of terms. GEO. AEO. LLMO. AI SEO. ChatGPT SEO. GAIO. Each term has its advocates, its definitions, and its commercial backers. Here's a straightforward guide to what each one means and which term to use.

GEO — Generative Engine Optimization

Origin: Princeton University and IIT Delhi research paper (2023) Definition: Optimizing content to increase visibility in AI-generated search results Scope: Broadest term — covers monitoring, content optimization, brand visibility, technical optimization, and analytics across all AI platforms Who uses it: Most GEO-native startups, SEO practitioners, marketing agencies Adoption level: Highest and growing

GEO has become the de facto standard term for several reasons: it was defined in peer-reviewed research (giving it academic credibility), it's platform-agnostic (not tied to any specific AI engine), and it describes the full scope of AI search optimization rather than just one aspect.

AEO — Answer Engine Optimization

Origin: The featured snippet and voice search optimization community (~2018-2020), later adopted by Profound Definition: Optimizing content to be selected as the direct answer by AI and voice-powered search engines Scope: Narrower than GEO — emphasizes content formatting for direct answers Who uses it: Profound (tryprofound.com, the largest player in the space), some enterprise teams Adoption level: Significant, driven primarily by Profound's market presence

AEO predates GEO. It originated when marketers started optimizing for Google's featured snippets and voice search answers. Profound, with over $154 million in funding and a $1 billion valuation, has made AEO their brand term. If you're working with Profound or within their ecosystem, AEO is the standard terminology.

LLMO, AI SEO, and Other Variants

LLMO (Large Language Model Optimization) — A more technically precise term that foregrounds the AI model itself rather than the search experience. Used more in technical and AI engineering contexts than in marketing. Origin: Technical AI and SEO communities (~2023). Adoption level: Low-moderate, mostly in technical circles.

AI SEO — A colloquial catch-all that describes any SEO practice adapted for AI-powered search. Very broad and somewhat vague. The term most likely to appear in mainstream marketing articles and conversations. It's immediately understandable but lacks precision — it could refer to using AI tools for SEO, optimizing for AI search, or both.

[ChatGPT SEO / LLM SEO](/glossary/llm-seo/) — Platform-specific or technology-specific variants. These terms appear when practitioners discuss platform-specific tactics. Vercel published a notable case study about "LLM SEO" that gained significant attention in the SEO community.

How the Terms Relate to Each Other

Think of these terms as concentric circles:

Outermost circle: AI SEO — The broadest, most informal term for any intersection of AI and search optimization.

Middle circle: GEO — The specific discipline of optimizing for AI-generated search results. Includes monitoring, content optimization, brand management, analytics, and technical implementation.

Inner circles: AEO, LLMO, ChatGPT SEO — More specific focuses within GEO. AEO emphasizes answer formatting. LLMO emphasizes the technology. ChatGPT SEO targets one platform.

For a deeper comparison of GEO and AEO specifically, see our detailed AEO vs GEO analysis.

Which Term Should You Use?

For business communication and strategy: Use GEO. It's precise, broadly understood, academically grounded, and platform-neutral.

For executive and C-suite communication: Use "AI search optimization" or "AI search visibility." These require no jargon explanation and immediately communicate the concept.

For technical discussions: Use whichever term is most precise for the context. If you're discussing Retrieval-Augmented Generation mechanics, LLMO might be appropriate. If you're discussing answer formatting, AEO is fine.

For client and stakeholder communication: Match their language. If a client uses AEO because they heard it from Profound, use AEO with them. If they say "how do we show up in ChatGPT," respond in their terms before introducing more precise vocabulary.

The Terminology Will Consolidate

New fields always experience terminology fragmentation. SEO itself competed with "search engine positioning," "search engine marketing," and "web optimization" before SEO became standard.

The GEO/AEO space will likely consolidate within the next one to two years. Based on current adoption trends, GEO is the most likely winner as the umbrella term, with AEO continuing in Profound's ecosystem and AI SEO persisting as the casual, mainstream variant.

The term matters less than the practice. Regardless of what you call it, the work is the same: making your brand visible when AI search engines answer questions that matter to your business.

For the complete guide to the discipline itself, see The Complete GEO Guide. For a primer on the fundamentals, read What Is GEO?.