In the world of SEO, five acronyms have emerged in the last year. And nobody can agree on what any of them mean.
GEO, AEO, AISO, LLMO, AI SEO.
If you run a business or are building a personal brand, you’ve probably seen at least two of these acronyms in a marketing agency pitch or a LinkedIn post this year.
They all sound like separate services, but most of the time they describe the same few tasks disguised in different packaging.
For context: I’ve been doing SEO work for over ten years, and AI search work for service business clients for the past few years, so I spend a lot of time translating these terms into plain English.
In this article, I’ll break down GEO vs AEO vs AI SEO vs LLMO and explain why the industry can’t settle on one name. We’ll also look at what really matters when AI tools are choosing to mention your business.
What’s the difference between GEO vs AEO and the other AI search terms?
GEO (Generative Engine Optimization) is about getting your business mentioned or cited inside AI-generated answers.
AEO (Answer Engine Optimization) is about structuring your content so answer engines can pull a direct answer from it.
The two terms overlap heavily, and AISO, LLMO, and AI SEO are broader or narrower versions of the same idea.
| Term | Stands for | Main focus | Where it shows up |
|---|---|---|---|
| SEO | Search Engine Optimization | Ranking in traditional search results | Google and Bing results pages |
| AEO | Answer Engine Optimization | Being selected as the direct answer | Featured snippets, voice assistants, AI Overviews |
| GEO | Generative Engine Optimization | Being mentioned or cited in AI answers | ChatGPT, Perplexity, Gemini, Claude |
| AISO | AI Search Optimization | Visibility across several AI search tools at once | Multi-platform AI strategies |
| LLMO | Large Language Model Optimization | How AI models understand and describe your brand | Brand accuracy in any AI assistant |
| AI SEO | AI Search Engine Optimization | Umbrella term for SEO adapted to AI search | Agency packages that bundle everything above |
In essence, SEO gets you found in conventional search results on Google. AEO gets you picked for direct answers at the top of Google. GEO gets you into generative answers in tools like AI Overviews. LLMO shapes how models like ChatGPT and Claude describe you. AI SEO is the catch-all for all these different acronyms.
Why does every agency use a different name for AI search?
Every marketing agency uses a different name because the category is new and nobody really owns the vocabulary yet. Some of these newer terms came from academic research and others from agencies looking for something to put on a proposal.
GEO started in academia. The term comes from a 2023 paper by researchers at Princeton University and IIT Delhi, GEO: Generative Engine Optimization. They tested how different content changes affected visibility in generative search answers. Adding citations, quotations and statistics lifted visibility by up to 40%, while old-school keyword stuffing didn’t help. AEO is older and goes back to the days of featured snippets and voice search. LLMO and AISO are mostly practitioner labels that caught on through conference talks and agency websites.
The result is a mess, and the data backs that up. According to EMARKETER, a Search Engine Land analysis found that 59% of SEO influencers (if that is actually a thing) on LinkedIn used the term GEO, while others preferred different labels.
Amazingly, fewer than a third of these ‘experts’ kept their terminology consistent through the year.
If the people selling AI search can’t agree on the GEO vs AEO question, you don’t need to settle it either. What matters is the work underneath.
Which AI search acronym should a small business care about?
None of them, as labels. A small business should care about three jobs that sit underneath all five acronyms: being findable, being quotable, and being mentioned.
Being findable is classic SEO. Many AI tools search the web live before they answer, so if search engines struggle to crawl and understand your site, AI search usually struggles too. Fast pages, clear service pages and accurate business listings still matter.
Being quotable is the AEO side. AI tools lift clear, direct answers. That means answering the question in the first sentence or two, using plain headings, and stating the facts people ask about: what you do, who you serve, where you work and roughly what it costs. Vague, generic content gets skipped by readers and AI alike (I wrote more about this in why most AI marketing content is already invisible).
Being mentioned is the GEO and LLMO side, and it’s the part most small businesses miss. AI tools learn about you from far more than your website. EMARKETER reports that Reddit, LinkedIn and YouTube ranked among the domains major AI models referenced most in late 2025. Reviews, directories, podcasts and industry sites all feed the picture too.
That changes what “optimizing” means. You’re shaping the whole information trail about your business, and your website is only one part of it.
How can you tell if AI search is recommending you?
The simplest way is to ask. Pick about ten questions your ideal customers would type into ChatGPT, Gemini, Perplexity or Google’s AI Mode, and run them every month.
For each answer, note three things: whether you were mentioned, whether your site was cited as a source, and which competitors showed up instead.
This is the same approach I use for my clients’ monthly AI visibility scorecards. We lock a set of ten questions and run them every month, so each result can be compared with the last. The locked list matters more than the tool you use to run it.
Repetition matters because AI answers move around a lot. EMARKETER cites research showing that between 40% and 60% of cited sources change from month to month across Google AI Mode and ChatGPT. One check on one afternoon tells you almost nothing.
Keep your expectations realistic on traffic, too. The same report notes that publishers like Reuters and The Guardian get less than 1% of their referral traffic from AI platforms, even though AI tools cite them often. For most small businesses, AI search is a visibility and trust channel first. Mentions are the number to watch, and clicks come second.
Why does ChatGPT recommend your competitors instead of you?
AI tools recommend your competitors when the public information about them is clearer, more consistent or more widely repeated than yours. The cause is often a business positioning problem that happens to show up in search.
This was the sharpest point in the Reddit post. Once you find out who AI prefers, the bigger question is why. Large companies hire competitive intelligence firms to answer that. You can get a useful first read yourself in about 15 minutes.
Start by asking the AI tool directly. Something like: “When I asked for the best bookkeeper for Etsy sellers in Denver, you suggested three firms. What made them a good fit, and which sources did you rely on?”
The explanation won’t be a perfect window into how the model works (far from it). The sources it cites are real clues, though. Open them. You’ll usually see a pattern: the competitor names a specific niche, publishes prices, has a stack of recent reviews, or gets discussed in a Reddit thread you’ve never seen.
Sometimes the fix is content. Often it’s a clearer offer, a published starting price or a real push for reviews. I dug into how AI weighs these signals in Logic vs. Loyalty, and the takeaway still holds. AI tends to recommend the business that is easiest to explain.
What should you ask before paying for GEO or AEO services?
Ask how the agency will measure your AI visibility before and after the work. If they can’t show you a baseline, you’ll never know whether the money did anything.
A few questions separate real AI search work from a rebranded SEO package:
- Which AI platforms do you monitor, and how often?
- Do you track both mentions and citations?
- Do you work on third-party sources like reviews, directories and Reddit, or only my website?
- How do you find the gaps between my business and the competitors AI prefers?
- What will the monthly report show me?
The Reddit post had a good test for this. “We’ll improve your GEO” tells you nothing. A useful proposal names a fixed set of commercial questions, the platforms being checked, how competitor mentions and cited sources will be analyzed, and how progress will be tracked over time. A proposal that specific gives you something to hold the agency to.
Why the Name for AI Search Keeps Changing (and the Work Doesn’t)
The acronyms will probably keep multiplying. Next year there may be a new favorite, and the GEO vs AEO debate may feel as dated as arguing over what to call a “blog.”
The businesses that show up in AI answers will be the ones that are easy to find, easy to quote and talked about in the places AI reads. That work looks much the same whatever the label.
For solopreneurs and small teams, that’s good news. You don’t need an enterprise budget to be the clearest answer in your niche. You need a sharp offer, plain answers and a few people saying good things about you in public.
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