
What is Generative Engine Optimization (GEO)? Definition and examples
Generative Engine Optimization (GEO) is the practice of shaping content so that AI answer engines such as ChatGPT, Perplexity, Google AI Overviews and Gemini cite it as a source and mention it inside their generated replies. GEO complements traditional SEO: instead of chasing clicks, you aim to be named in the AI answer.
Updated: June 2026
The term was coined in a 2023 research paper by Aggarwal et al. and presented in 2024 at the ACM KDD conference. The study found that targeted GEO tactics can lift visibility in generated answers by up to 40 per cent (Aggarwal et al., GEO, KDD 2024). The scale of the shift is hard to ignore: Google reported that AI Overviews reached two billion monthly users in the second quarter of 2025 (Alphabet Q2 2025 earnings call, 2025).
Why does GEO matter for Swiss SMEs?
GEO matters because more and more buyers now begin their research inside an AI answer rather than a classic list of links. If you are not cited there, you simply do not appear in the decision, even when your own website ranks well. Visibility is moving from the link list into the generated text itself.
The shift is measurable. According to the State of AI Discovery 2025 report by Previsible, traffic referred through AI platforms rose 527 per cent year on year in the first five months of 2025 (Previsible, State of AI Discovery Report, 2025).
For an SME this is concrete: a prospect asks ChatGPT for a “simple CRM for Swiss SMEs”, gets a finished answer naming three to five providers, and may never click through to Google at all. Whether your company appears in that answer is exactly what GEO decides.
- Research increasingly starts in a chat window rather than a search bar.
- AI answers usually name a handful of providers, not ten blue links.
- If you are not cited, you lose the first contact before it even forms.
How does GEO differ from traditional SEO?
GEO and SEO share the goal of visibility, but the outcome differs. SEO gets you into the results list and onto a click; GEO gets you into the generated answer and onto a mention. Put simply: SEO gets clicked, GEO gets quoted. The two are complementary rather than opposed.
It is worth stressing that the disciplines do not contradict each other. Clean, well-structured content helps both. The difference lies in how you prepare it and how you measure success.
| Aspect | Traditional SEO | GEO |
|---|---|---|
| Goal | Ranking in the results list | Citation in the AI answer |
| Success metric | Clicks, rankings | Mentions, cited sources |
| Format | A page users visit | A passage a model reuses |
| Key levers | Keywords, backlinks, tech | Statistics, quotes, clear structure |
| Platforms | Google, Bing | ChatGPT, Perplexity, AI Overviews, Gemini |
What are the core building blocks of GEO?
The core building blocks of GEO are verifiable facts, clear structure and topical authority. Generative models favour passages they can quote safely: concrete numbers, traceable sources and unambiguous statements. Vague marketing prose offers them very little to hold on to.
The Princeton research quantified individual levers. Adding statistics and quotations proved especially effective, as did citing external sources, which lifted the visibility of lower-ranked pages by up to 115 per cent (Aggarwal et al., GEO, KDD 2024).
Content building blocks
- Sourced statistics: concrete, dated numbers instead of vague claims.
- Quotes and evidence: traceable statements a model can lift directly.
- Clear definitions: one sentence that fully answers the question.
Structural building blocks
- Question-and-answer layout: headings as questions, followed by a compact answer.
- Lists and tables: machine-readable structure instead of a wall of text.
- Unambiguous language: short sentences, clear terms, no filler.
What does GEO look like for a real Swiss SME?
In practice, GEO means writing content an AI can quote safely: precise answers, sourced numbers and transparent prices. Two examples from everyday Swiss SME life show how this works without needing a large marketing budget or a dedicated agency to get going.
Example 1: a fiduciary office in Bern
A small fiduciary office wants to be named for questions like “which accounting software suits a small Swiss business?”. Instead of a glossy brochure page, it writes a guide with clear definitions, a comparison table and dated source references. Those are precisely the building blocks that make a page quotable for an AI.
Example 2: a B2B software provider
An SME software provider answers “how much does a CRM cost for a Swiss SME?” with transparent numbers instead of “price on request”. A clear pricing table and an honest calculation are exactly the kind of content that ends up in AI answers. We covered this in detail in our piece on CRM pricing models explained.
A solid foundational page pays off too: explaining what a CRM is delivers exactly the definition that AI answers look for when they synthesise a reply.
Which content do AI answer engines like to cite most?
AI answer engines most like to cite content that answers a question directly, with evidence and without detours. A clear definition up front, a concrete number with a source and a clean structure markedly raise the odds that a passage shows up inside the generated answer.
Notably, the cited sources are often not the same as Google’s top results. AI models pick passages for clarity and verifiability, not just link popularity. That is precisely where smaller providers get their chance to be quoted.
- Definitions that resolve a term immediately and in full.
- Numbers with a named source and year.
- Comparison tables and structured lists.
- Answers to specific questions, not generic brand prose.
How does GEO relate to SEO, AEO and LLMO?
GEO distinguishes itself from related terms mainly through its goal: being cited rather than just ranking. AEO focuses on direct answers, LLMO on language models in general, and SEO on classic search engines. In practice the terms overlap heavily and are often used interchangeably anyway.
| Term | Focus | Typical goal |
|---|---|---|
| SEO | Classic search engines | Ranking and clicks |
| AEO (Answer Engine Optimization) | Direct answer boxes | Featured snippet, answer |
| GEO | Generative AI answers | Citation and mention |
| LLMO | Language models in general | Visibility within the model |
Do not let the acronyms intimidate you. Anyone who writes good, clear, well-evidenced content serves all four disciplines at once. The differences sit in the detail, not in the underlying principle, so start with quality rather than labels.
How do you start with GEO without spreading yourself thin?
You are best off starting GEO with your most important questions: the topics where prospects should find you. Write a clear, evidenced answer for each, add a sourced number and a small table. This is achievable even without an agency and without a large budget.
A realistic entry point is to begin with five to ten core questions and answer them cleanly, rather than trying to optimise everything at once.
- List the ten questions your customers ask before buying.
- Answer each one in two or three clear sentences at the top.
- Add a dated number with a named source.
- Include a small table or list.
- Keep prices and facts transparent rather than “on request”.
If you are rolling out a CRM, the same principle transfers directly: clear processes, honest data. Our guide to common CRM rollout mistakes shows where teams typically trip up and how to avoid it.
Frequently asked questions
Is GEO the same as SEO?
No, but they are closely related. SEO targets ranking in the results list and clicks, while GEO targets being mentioned in AI-generated answers. Good, clearly structured content helps both. GEO is best seen as an extension of SEO rather than a replacement for it.
Do I need an agency for GEO?
No, you can get started without one. The most effective levers are clear definitions, sourced numbers and clean structure, all things you can implement yourself. An agency only really pays off once you want to scale content systematically across many topics and languages.
Can I measure whether GEO works?
Partly. You can watch whether AI platforms name you as a source and track AI-referred traffic in your analytics tool. There is no exact ranking metric yet, as there is with Google, but mentions and referral traffic are usable approximations for now.
What numbers back up the impact of GEO?
The Princeton study by Aggarwal et al. showed in 2024 that targeted tactics lift visibility in generated answers by up to 40 per cent, and by up to 115 per cent for lower-ranked pages through source citations (KDD 2024). These are robust, peer-reviewed figures.
Will GEO make traditional SEO disappear?
No. Classic search remains important, and many AI systems draw on the same well-structured content. The sensible approach is to treat both as one shared content foundation rather than two separate projects. Write cleanly and you win in both worlds at once.
Does GEO help small providers too?
Yes, small ones especially. Because AI models select passages for clarity and verifiability rather than link popularity alone, even small, focused providers can be cited. An honest, well-structured page often beats a large, vague brand page in this game.
Conclusion: just start
GEO sounds like a fresh buzzword, but at heart it is old wine in new bottles: answer clearly, back up your facts, create structure. Do that and you will be found more easily by both search engines and AI answers. You do not have to do everything at once; begin with your most important questions.
The same principle applies to your CRM: simple, honest, free of clutter. You can start for free at advanzo.app, with no credit card, and explore at your own pace how lean working actually feels.











































