GEO vs AEO vs LLM SEO: Which Term Is Right?

This article breaks down what each term means, where it came from, how they differ in emphasis, and which one is most useful depending on what you are actually trying to do.

Why there are so many terms

The proliferation of names reflects the fact that this field is young and that different communities arrived at the same problem from different directions. Academics coined one term. SEO practitioners coined another. Marketing software vendors coined a third. None of them coordinated.

The result is a landscape where a blog post using GEO, a conference panel using AEO, and a software platform using LLMO are all describing the same set of practices.

Real scenario — why this causes practical problems

A growth manager asks their SEO agency to 'do GEO'.

The agency assumes: Generative Engine Optimization — AI search visibility.

The growth manager meant: geographic targeting — local SEO by country.

Three months of work go in the wrong direction.

Using precise terminology prevents this.

AEO = AI answer visibility. GEO = geographic SEO.

They are not the same thing.

All Five Terms Compared

AEO: Answer Engine Optimization

Origin and meaning

AEO predates generative AI. The term was in use to describe optimisation for voice search and featured snippets — the direct answers Google would surface at the top of results pages. When large language models like ChatGPT entered mainstream use, the term extended naturally. AI chatbots are answer engines in a more direct sense than Google ever was.

Current usage

AEO is the most widely adopted term in marketing contexts. It covers ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Tools that track brand visibility in AI responses typically use AEO in their positioning. Most practitioners in marketing and growth contexts default to AEO.

GEO: Generative Engine Optimization

Origin and meaning

GEO emerged from a 2023 academic paper that studied how content modifications affected citation rates in AI-generated responses. The term is more technically precise — it refers specifically to optimisation for generative AI systems, not voice search or older featured snippet formats.

Current usage

GEO appears more often in research papers and technical analyses. It has a more precise definition but lower mainstream awareness than AEO. Some practitioners use them interchangeably; others reserve GEO specifically for LLM-based systems.

When GEO and AEO are used differently in practice

Content strategist uses AEO to mean:

  All efforts to appear in AI-generated answers — ChatGPT, Perplexity,

  Google AI Overviews, voice search.

ML engineer at the same company uses GEO to mean:

  Specifically optimising for large language model citation,

  not voice search or older featured snippet formats.

Both are correct within their own definition.

Rule of thumb: marketing context = AEO. Technical/academic context = GEO.

LLM SEO and LLMO

LLM SEO and LLMO (Large Language Model Optimization) emphasise the underlying technology rather than user-facing behaviour. Most common in developer forums and technical content. The limitation: not every AI search tool uses the same large language model. Google AI Overviews runs on Gemini. Perplexity uses multiple models with retrieval augmentation. Calling the practice LLM SEO implies a uniformity that does not exist.

AI SEO and AI Search Optimization

The broadest and least precise terms. Useful for non-technical audiences because everyone understands what AI SEO means without a definition. Too vague for practitioners who need to distinguish between optimising for Google AI Overviews versus ChatGPT versus voice search — which require different approaches.

Which term should you use?

For most marketing practitioners: AEO. It has the widest recognition, the most tooling built around it, and the scope that covers the AI search systems that matter most for brand visibility today.

For technical or academic audiences: GEO is more accurate. For completely non-technical stakeholders: AI SEO is a usable starting point. The label matters less than the practice — whatever you call it, the core work is identical.

What the terminology debate tells us

Five different names for one practice reflects how quickly this space emerged and how many communities are engaging with it simultaneously. That is a sign of genuine importance. The names will consolidate over time. For now, knowing what each term means helps you navigate the field, evaluate sources, and communicate with different audiences in their own language.

Frequently Asked Questions

What is the difference between GEO and AEO?

GEO (Generative Engine Optimization) refers specifically to optimising content for large language model-based systems. AEO (Answer Engine Optimization) is broader and covers all systems that return direct answers, including voice search, featured snippets, and AI chatbots. In marketing contexts, AEO is the default term. GEO is preferred in research and technical writing.

Is LLM SEO the same as AEO?

They describe overlapping practices but with different emphasis. LLM SEO focuses on the underlying model technology. AEO focuses on the user-facing behaviour — a system that returns answers rather than links. You can practise AEO without understanding how LLMs work; LLM SEO implies more technical knowledge of model architecture and retrieval mechanisms.

Which term should I use: GEO, AEO, or LLM SEO?

For most marketing teams, AEO is the most practical choice. It has the widest recognition, the most tooling, and covers the AI search systems most relevant to brand visibility. Use GEO for technical or academic audiences. Use AI SEO when explaining to non-technical stakeholders who are unfamiliar with the space.

Does it matter which term I use for SEO purposes?

Yes, practically. Different audiences search using different terms. Including AEO, GEO, and LLM SEO naturally in your content captures all three search audiences rather than just one. Do not force them — use them where they fit the context naturally.

Is generative engine optimization the same as answer engine optimization?

Largely yes, with a nuance. GEO refers specifically to generative AI systems that produce text. AEO is the broader category that also includes older answer formats like voice search and featured snippets. If your focus is ChatGPT, Perplexity, and Gemini specifically, the terms are functionally interchangeable.