LLMO, GEO, and SEO are three names for an increasingly overlapping job. SEO (search engine optimization) wins rankings on a results page. GEO (generative engine optimization) wins citations inside AI answers from ChatGPT, Perplexity, Gemini, and Google AI Overviews. LLMO (large language model optimization) is usually a synonym for GEO with emphasis on the language-model side. The acronyms matter less than the shift behind them: buyers increasingly get answers, not just links, so you have to optimize to be the answer and the result.
I’m Andrii Byzov, a fractional CMO for B2B tech. Here is a jargon-free way to think about all three and what to actually do. This pairs with my guide on getting recommended by ChatGPT, Perplexity, and AI Overviews.
Key takeaways
- SEO aims to improve rankings; GEO aims to improve AI-answer inclusion and citation odds; LLMO is mostly a synonym for GEO.
- The acronyms overlap heavily; do not get lost in the jargon.
- Do both, because structured, factual content helps rankings and AI citations.
- The added GEO emphasis: extractable structure, third-party mentions, consistent brand facts.
- A related term, AEO (answer engine optimization), is nearly the same playbook with a slightly broader framing.
The three terms, plainly
| Term | Stands for | Wins | Emphasis |
|---|---|---|---|
| SEO | Search engine optimization | Rankings on a results page | Relevance, authority, technical health |
| GEO | Generative engine optimization | Better odds of inclusion or citation inside AI answers | Extractable structure, third-party validation |
| LLMO | Large language model optimization | Representation in LLM outputs | The language-model side of GEO |
In day-to-day work, treat GEO and LLMO as the same goal: be cited and represented inside AI-generated answers. SEO is the established discipline they build on.
You will also see a fourth acronym, AEO (answer engine optimization). It overlaps heavily with GEO, with a slightly broader framing that also covers non-generative answers like featured snippets. The playbook is nearly identical, so do not treat it as a separate discipline. I cover it in what is answer engine optimization (AEO).
How they overlap
Good content does double duty. Clear structure, factual accuracy, strong topical coverage, and consistent brand information tend to help both traditional rankings and AI citations. So this is not a choice between disciplines. It is SEO fundamentals plus added emphasis for the AI era. If your content is already well-structured and trustworthy, you are closer to GEO than you think.
What is genuinely different about GEO
- Extractability. AI answers often favor direct answers, definitions, comparison tables, and FAQ blocks. Bury the answer and you reduce your odds of being cited.
- Third-party validation. AI answers often lean on lists, reviews, and mentions you do not own, more than classic SEO does.
- Entity consistency. Engines synthesize across sources, so consistent facts about who you are and what you do help them represent you correctly.
These do not replace SEO. They sit on top of it.
So what should a B2B marketer do?
Do not chase acronyms. Do this: keep your SEO fundamentals healthy, structure content for extraction, earn third-party mentions in the sources AI engines cite, keep your brand facts consistent, and measure both traditional rankings and AI citations. If you want to size the AI side first, run an AI search visibility audit.
FAQ
What is the difference between LLMO, GEO, and SEO? SEO wins rankings; GEO wins AI-answer citations; LLMO is mostly a synonym for GEO. They overlap heavily.
Are GEO and LLMO the same? In practice, mostly yes. Both mean being cited and represented inside AI answers.
SEO or GEO in 2026? Both. Structured, factual content helps with rankings and AI citations alike.
Is SEO dead? No, but it is changing. AI answers shift some traffic to zero-click; fundamentals still matter and now sit alongside GEO.
The bottom line
LLMO vs GEO vs SEO is less a competition than a layering. Keep SEO fundamentals, add GEO emphasis for the AI era (extractable structure, third-party mentions, consistent facts), and measure both rankings and AI citations. The brands with the best odds are the ones structured to show up as both an answer source and a search result.
Getting that right end to end is part of what I do as a fractional CMO for B2B tech; I write about it on LinkedIn.