AEO, GEO, LLMO, AI SEO. The acronyms are multiplying faster than the strategies behind them.
Here is the honest version of what actually differs.
AEO and GEO are closely related disciplines with heavy overlap. Answer engine optimization (AEO) focuses on being the direct answer in features like Google AI Overviews, featured snippets, and voice results. Generative engine optimization (GEO) focuses on being cited inside generative AI responses from ChatGPT, Perplexity, and Claude. In practice the tactics and metrics are nearly identical, and most teams should run them as one program.
AEO vs GEO: the short answer
AEO optimizes to be the answer; GEO optimizes to be cited in the answer. AEO leans toward answer-box surfaces like AI Overviews, featured snippets, and voice assistants. GEO leans toward generative chat engines like ChatGPT and Perplexity. The distinction is real but narrow, the surfaces overlap, and there is no agreed academic definition separating them, so treating them as one practice is the practical move.
Both AEO and GEO are about getting your brand into AI answers, measured the same way, won with the same tactics. The acronym matters far less than the work.The one thing to remember
What is AEO?
Answer engine optimization is the practice of structuring content so AI answer engines select your brand as the direct answer to a question. Its home turf is answer-box surfaces: Google AI Overviews, featured snippets, and voice assistant results. The goal is inclusion in the answer the user reads, not just a ranking. We covered it fully in our guide to answer engine optimization.
What is GEO?
Generative engine optimization is the broader practice of earning citations and mentions across generative AI engines. Its home turf is conversational chat: ChatGPT, Perplexity, Claude, and Gemini. The goal is to be one of the handful of sources an LLM cites when it builds a response. Our complete GEO guide breaks down how engines pick those sources.
AEO vs GEO: the real differences
The honest difference is one of emphasis, not mechanics. AEO emphasizes answer-box placement; GEO emphasizes citations in generative responses. Both reward extractable, structured, credible content, and both are measured by whether you show up in AI answers. Here is the side-by-side.
| AEO | GEO | |
|---|---|---|
| Emphasis | Being the direct answer | Being a cited source |
| Main surfaces | AI Overviews, snippets, voice | ChatGPT, Perplexity, Claude, Gemini |
| Core tactics | Direct answers, schema, authority | Direct answers, schema, authority |
| Success metric | Answer placement, citations | Citations, mentions, share of voice |
Notice that two of the four rows are identical. That is the point. The inputs are the same; only the surface you emphasize shifts.
Are AEO and GEO the same thing?
Mostly, yes. As of early 2026 there is no consensus academic definition separating AEO and GEO, and practitioners use the terms interchangeably. Some teams prefer "AEO" because it is older and clearer; others prefer "GEO" because it captures the generative angle. The work underneath does not change based on which label you pick.
AEO vs GEO vs SEO: how do they fit together?
SEO, AEO, and GEO are three layers of one search strategy, not competitors. SEO earns you rankings and feeds the index that AI engines draw from. AEO earns you the answer box. GEO earns you citations inside generative responses. Strong SEO still matters, because answer and generative engines pull heavily from pages that already rank, but it is no longer enough on its own.
The modern approach builds all three on the same foundation: clear, accurate, well-structured content with authority signals. Do that well and you improve your odds across every surface at once.
Which should you prioritize?
Prioritize by where your buyers actually ask their questions. If they live in Google, lean into AEO and the answer-box surfaces. If they research in ChatGPT and Perplexity, lean into GEO. For most brands the answer is both, run as a single program, because the content and technical work overlap almost completely. The only thing that changes is which engines you watch most closely.
This is also why measurement should be unified. Whether you call it AEO or GEO, you are tracking the same things: are you mentioned, are you cited, how are you framed, and how do you compare to competitors, across every engine. We covered that method in what is AI visibility.
Frequently asked questions
What is the difference between AEO and GEO?
Are AEO and GEO the same thing?
Should I do AEO or GEO?
How is AEO vs GEO different from SEO?
Do AEO and GEO use the same tools?
Stop arguing the acronym, start measuring the answer
AEO and GEO are two names for the same goal: getting your brand into AI answers. Pick the term your team prefers, build the content and schema that win citations, and measure whether the engines actually mention you.
Track it with MentionsAPI across every engine in one call, and you cover AEO and GEO at the same time.