If you’ve been researching how to show up in AI search results, you’ve probably run into three different acronyms: LLMO, GEO, and AEO.
And if you’re confused about the differences, you’re not alone. The industry itself hasn’t settled on a single term yet, and different agencies, tools, and publications use different names for what is largely the same thing.
Here’s the plain-English breakdown — what each term means, where they diverge, and what actually matters for your business.
LLMO (Large Language Model Optimization), GEO (Generative Engine Optimization), and AEO (Answer Engine Optimization) are three terms for optimizing your business to appear in AI-powered search results. They share about 85% of the same tactics. The differences are mostly in emphasis and origin.
If someone asks you “What’s the difference between LLMO, GEO, and AEO?” — the honest answer is: not much. They’re different lenses on the same problem.
For a foundational primer, see our guide on what LLMO is and how it works.
Origin: Coined by the SEO and AI marketing community in 2024-2025.
Focus: Optimizing specifically for Large Language Models — the AI systems behind ChatGPT, Claude, Google Gemini, and Perplexity. The emphasis is on training data signals: how to get your business information into the data that LLMs learn from and reference.
Core tactics:
Best for: Local businesses that want to be recommended by ChatGPT, Gemini, and Perplexity when consumers ask for business suggestions.
Example query LLMO targets: “What’s the best-rated med spa for Botox in Cedar Park, TX?”
LLMO is the term we use most at Signal Digital because it’s the most precise — it describes exactly which technology you’re optimizing for (large language models) and what the goal is (getting those models to know about and recommend your business).
Origin: Coined by researchers at Princeton, Georgia Tech, IIT Delhi, and Allen Institute for AI in a 2023 research paper.
Focus: Optimizing content specifically for generative search engines — AI-powered search interfaces that generate synthesized answers rather than showing a list of links. Google AI Overviews is the biggest example.
Core tactics:
Best for: Businesses and publishers focused on getting cited in AI-generated search summaries, particularly Google AI Overviews and Perplexity’s search results.
Example query GEO targets: “How much does Invisalign cost in Austin?” (where the AI generates a synthesized answer rather than just listing dental websites)
GEO has a slightly more academic origin and emphasizes content-level optimization. If LLMO asks “how do I become an entity AI knows about?”, GEO asks “how do I write content AI wants to cite?”
To learn more about how AI Overviews specifically impact local businesses, see our breakdown of Google AI Overviews for local business.
Origin: Emerged from the featured snippet / voice search optimization era (2019-2022), then evolved to include AI tools.
Focus: Optimizing for answer engines — any platform that provides direct answers rather than links. This includes Google Featured Snippets, voice assistants (Alexa, Siri), Google AI Overviews, ChatGPT, and Perplexity.
Core tactics:
Best for: Businesses that want to appear across all answer-providing platforms — not just AI chat tools, but also voice search, featured snippets, and smart assistants.
Example query AEO targets: “Hey Siri, find me a plumber near me” or “What causes low water pressure?” (where the answer engine gives a direct response)
AEO is the broadest of the three terms. It covers AI tools but also older answer formats. If you’re optimizing for AEO, you’re also largely doing LLMO and GEO.
| LLMO | GEO | AEO | |
|---|---|---|---|
| Full name | Large Language Model Optimization | Generative Engine Optimization | Answer Engine Optimization |
| Primary target | ChatGPT, Gemini, Perplexity, Claude | Google AI Overviews, Perplexity, Gemini | All answer platforms including voice |
| Origin | Marketing/SEO industry | Academic research (2023) | SEO/voice search community |
| Core focus | Entity authority + AI training signals | Content optimization for citation | Direct answer formatting |
| Schema markup | Critical | Important | Important |
| Entity building | Critical | Important | Moderate |
| Content optimization | Important | Critical | Critical |
| FAQ formatting | Important | Moderate | Critical |
| Voice search | Not primary focus | Not primary focus | Key component |
| Best for local biz | Highly relevant | Relevant | Relevant |
Here’s the practical answer: don’t pick one — do all of them.
The tactics overlap by about 85%. If you implement a solid LLMO strategy, you’re also doing most of GEO and AEO. The foundational work is the same:
The remaining 15% difference is nuance: GEO puts extra emphasis on citing sources and statistics in content. AEO puts extra emphasis on voice search and featured snippets. LLMO puts extra emphasis on entity signals and training data.
For most local businesses in Austin, the LLMO framework covers the highest-impact work. That’s why we focus on it. But we incorporate GEO and AEO best practices throughout — because the goal is the same: getting your business found and recommended by AI.
Here’s our prediction: within 12-18 months, the industry will settle on one or two dominant terms. Right now it’s messy because the technology is new and different communities coined different names.
Our bet is that “AI Search Optimization” becomes the umbrella term that consumers understand, with LLMO and GEO as the technical terms practitioners use. AEO may get absorbed into the broader category since it predates the current AI wave.
But regardless of what the industry calls it, the underlying work doesn’t change. And the businesses doing that work now — while 98% of competitors are still focused only on traditional SEO — are the ones who’ll own AI visibility for years to come.
Stop worrying about which acronym is “right.” Start optimizing.
If you want to see where your business stands across all AI search platforms — ChatGPT, Gemini, Perplexity, and AI Overviews — we offer a free AI Visibility Audit. We’ll show you your current score, what’s missing, and exactly what to fix first.
Or dive deeper into the strategy:
See how your business shows up in ChatGPT, Gemini, and Perplexity with a free AI Visibility Audit.
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