*By Timothy Jacqmin — Co-Founder, Nexuro Digital · July 2026*
TL;DR
- GEO (Generative Engine Optimization) is the set of actions that turn your business into a source cited by generative AI (ChatGPT, Claude, Perplexity, Google AI Overviews). It does not replace SEO: it is its logical next step.
- This is no longer theoretical. Google shows AI answers on roughly one in five searches, and users click about half as often when an AI answer appears (Pew Research, 2025). The question is no longer "am I ranking?" but "am I the source the AI cites?".
- AI engines pick sources on three signals: clear, extractable content, authority (who else cites you), and consensus (do you say the same thing everywhere).
- The GEO levers: make your content citable (direct answer, figures, structure), mark up your pages with structured data (Schema.org), and get cited by third parties (press, reviews, Reddit).
- Where to start: a clean SEO foundation, content that answers real questions, structured data, then measuring your citations across AI engines.
Your customers no longer only type their question into Google. More and more, they ask ChatGPT, Perplexity or Google's AI assistant. And there, there are no ten blue links: there is one written answer, with two or three cited sources. If you are not one of those sources, you do not exist in the conversation.
This is a structural shift, not a fad. As with everything at Nexuro, our instinct is not to panic, but to structure. Here is the reference guide we give a business owner who wants to understand GEO and, above all, know what to do on Monday morning.
What is GEO (Generative Engine Optimization)?
GEO (Generative Engine Optimization) is the set of techniques that make your content visible and cited in answers generated by artificial intelligence: ChatGPT, Claude, Perplexity, Gemini, and Google's AI Overviews. The term was introduced by a team of Princeton researchers in 2023, in the first academic study dedicated to the topic.
The logic differs from a classic engine. A search engine returns a list of links: you click. A generative engine, instead, reads sources, synthesizes them, and returns a single answer. Your objective changes completely: it is no longer only about being on page one, but about being the source the machine deems worthy of being reused and attributed.
You will sometimes see other acronyms for the same idea: AEO (Answer Engine Optimization) or AIO (AI Optimization). Whatever the acronym, the goal is the same: become the answer rather than just one link among many. We use "GEO" because it is the founding term, born from research.
Key takeaway: SEO targets a ranking in a list of links. GEO targets a citation in a written answer. Two complementary goals, one shared requirement: clear, reliable, structured content.
SEO vs GEO: what is the real difference?
SEO optimizes your position in a list of results; GEO optimizes your presence inside a generated answer. It is not a replacement, it is an extra layer. Strong SEO content (clear, structured, sourced) is in fact the best starting point for GEO: you add a brick, you do not start from zero.
The table below sums up the differences that matter for an SME.
| Criterion | SEO (classic search) | GEO (AI search) |
|---|---|---|
| Goal | Rank among the 10 blue links | Get cited in the AI's answer |
| Visible result | A position in a list | A mention (often with source link) |
| What the user sees | Titles and descriptions to click | An already-written synthetic answer |
| Unit of value | The click to your site | Your brand cited as a source |
| Key signal | Keywords, backlinks, technical SEO | Easy extraction, authority, consensus |
| Measurement | Rankings, clicks, organic traffic | Citation share, mentions, sentiment |
The truth is that the foundations overlap heavily. If you have already worked on the fundamentals of organic search, you are 60% of the way there. GEO does not destroy SEO: it rewards its quality, and punishes empty content even more harshly. To go deeper on the nuances, we broke down the comparison in our article on how to get cited by ChatGPT, Claude and Perplexity.
How do AI engines choose their sources?
This is the million-euro question, and the answer is more concrete than people think. Generative engines select sources on three main signals: the extractable clarity of the content, the authority of the source, and the consensus across several independent sources. Let's break it down.
1. Content a machine can extract effortlessly. The Princeton study (Aggarwal et al., 2023) tested nine optimization techniques across 10,000 queries. The result: adding numeric statistics, attributed quotations and citations can raise a piece of content's visibility in AI answers by up to 40%. The lesson is clear: an AI prioritizes a passage that contains a sharp fact, a dated figure, a clean definition. Vagueness gets ignored.
2. Authority: who else talks about you. An AI trusts domains it deems reliable and that are frequently cited elsewhere. The more your expertise is recognized beyond your own site, the more likely you are to be picked up. This is the off-page lever, exactly like backlinks in SEO, but applied to the reputation the machine detects in its training data and real-time searches.
3. Consensus: do you say the same thing everywhere? AI engines look for agreement across several independent sources before citing a brand with confidence. If your positioning is consistent on your site, in the press, in customer reviews and in community discussions, the AI gains certainty and cites you. A contradictory message from one channel to the next, on the contrary, makes you vanish from the answer.
One last point, often overlooked: each platform has its own habits. Perplexity favors freshness and readily cites recent, varied sources. ChatGPT leans toward established, well-structured domains. Google AI Overviews rely heavily on what already ranks well in its index. There is no single recipe: there are shared principles, applied differently per engine.
Common mistake: believing a good website is enough. An AI trusts what the web says about you, not only what you say about yourself. GEO is won as much off your site as on it.
What are the concrete GEO levers?
There are three actionable levers, and an SME can start with the first this week. GEO rests on three worksites: making content citable, marking up pages with structured data, and getting cited by third parties. Here is how to prioritize them.
| Lever | What it is | Concrete actions | Effort |
|---|---|---|---|
| 1. Citable content (on-page) | Write to be extracted, not just read | Direct answer at the top of each section, dated figures, named definitions, Q→A structure, FAQ | Low |
| 2. Structured data | Explain your content to the machine | Schema.org: Organization, FAQPage, Article, Product | Medium |
| 3. Off-page / citations | Get mentioned elsewhere | Press, reference content, reviews, Reddit, industry directories | High |
Lever 1: citable content. This is the most cost-effective and the fastest. Each section should be a self-contained block that answers a precise question, with the answer stated plainly in the first sentence. Add figures, tables, numbered lists and an FAQ. That is exactly the structure of the article you are reading: no coincidence.
Lever 2: structured data (Schema.org). These are invisible tags that tell the machine "this is a company", "this is an FAQ", "this is an article signed by this author". FAQPage and Article markup helps engines, both classic and generative, understand and reuse your content. We even provide ready-to-paste JSON-LD at the end of every article we produce.
Lever 3: off-page, or the art of getting cited elsewhere. This is the most demanding, but the most decisive over time. A brand picked up by the press, reference sites, reviews and Reddit discussions sends the AI the consensus signal that triggers the citation. It cannot be bought with tricks: it is built with useful content others want to reuse.
How do you measure your visibility in AI?
At Nexuro, our conviction does not change: what is not measured cannot be managed. GEO is no exception. The difficulty is that there is not yet a universal "AI Search Console". So we measure differently, with four indicators.
- Citation share (Answer Share): across a panel of questions your customers actually ask, how often is your brand cited by ChatGPT, Perplexity or Google AI? It is the AI-era equivalent of share of voice.
- Sentiment: when the AI talks about you, is it positive, negative, or neutral? A negative citation does not carry the same value as a recommendation.
- Doctrinal alignment: does the AI describe your offering correctly, or does it get things wrong about you? Correcting an AI that misrepresents your business is a GEO worksite in its own right.
- AI referral traffic: in your analytics tool, isolate visits coming from ChatGPT, Perplexity or Gemini. This traffic is still modest in volume, but it often converts better than average, because the user arrives already informed and pre-qualified.
A word on method. Reliable measurement starts with clean tracking: without a solid data foundation, you cannot isolate AI-driven visits or judge their value. It is the same foundation described in our guide to server-side tracking and reliable measurement. You build measurement first, then you optimize.
Recommendation: do not try to measure your market's 200 questions at once. Pick the 15 to 20 most strategic ones (those that precede a purchase), track them monthly, and watch the trend. Direction matters more than the snapshot.
Where should an SME start?
Good news: you do not need to redo everything, nor an international agency budget. GEO is built in a logical order, each step serving the next. Here is the roadmap we follow with our clients.
- Lay a clean SEO foundation. Indexing, clear structure, useful content: this is the prerequisite. An AI does not cite what it cannot read. (See the fundamentals of organic search for SMEs.)
- Rewrite your key pages for citability. Direct answer up top, dated figures, one FAQ per important page, subheadings phrased as questions.
- Add structured data (
Organization,FAQPage,Article) on your strategic pages. - Work on your off-site presence: one or two reference pieces of content per year, a clean presence on reviews and your sector's communities.
- Measure. Pick your 15 to 20 strategic questions and track your citations across AI engines, month after month.
- Expand. Once the foundation is in place, roll it out to your other pages and to fresh topics like showing up in Google's AI Overviews.
GEO is neither magic nor instant. It is the continuation of foundational work on your visibility, adapted to a new way of searching. And if you are wondering how to bring AI more broadly into your strategy, we cover it in our article on AI in SME marketing.
FAQ
What is GEO (Generative Engine Optimization)?
GEO, or Generative Engine Optimization, is the set of techniques that make your content visible and cited in the answers of generative AI such as ChatGPT, Claude, Perplexity and Google AI Overviews. Where SEO targets a position in a list of links, GEO targets becoming the source the AI reuses and attributes in its written answer.
What is the difference between SEO and GEO?
SEO optimizes your ranking in an engine's list of results like Google: the goal is the click to your site. GEO optimizes your presence inside an AI-generated answer: the goal is to be cited as a source. They are not enemies. Good SEO (clear, structured, sourced content) is the best starting point for GEO.
Will GEO replace SEO?
No. GEO does not replace SEO, it sits on top of it. Generative AI relies heavily on well-ranked, well-structured content. A site invisible to Google stays invisible to AI. In practice, the technical and editorial foundation of SEO remains essential, and GEO rewards its quality while penalizing empty content even more.
How do you get cited by ChatGPT or Perplexity?
To be cited, your content must be easy to extract (clear answer in the first sentence, dated figures, definitions, FAQ), published on a reliable site, and confirmed by third-party sources. The Princeton study shows that adding statistics, quotations and citations can raise visibility in AI answers by up to 40%. Consistency of your message across the web does the rest.
How much does a GEO strategy cost for an SME?
There is no single price, because GEO spans several worksites (content, technical, off-site presence). The good news: an SME can start without a big budget by rewriting its key pages for citability and adding structured data. These two levers are cheap and fast. Off-page work, more demanding, is built over time afterwards.
How do you measure your visibility in AI?
You measure GEO with four indicators: citation share (how often the AI cites you on your strategic questions), sentiment (positive, neutral or negative), doctrinal alignment (does the AI describe your offering correctly), and AI referral traffic in your analytics. Track 15 to 20 key questions each month and watch the trend rather than the snapshot.
Conclusion
The web changed its front door. Yesterday, your customers came through a list of Google links; today, some of them come through an answer written by an AI. The good news is that the rules of this game reward exactly what has always made good content: clarity, facts, honesty, and a solid reputation. GEO is not one more trick. It is the reward for foundational work done well.
At Nexuro, GEO is our pioneering ground in Belgium. We do not sell magic dust: we build a measurable foundation, connected to your sales, that makes you visible where your customers now search.
*Wondering whether your business is cited (or not) by AI on your key topics? We can look at it together, simply, during a free audit of your digital ecosystem. No bots, no salespeople: Timothy or Bryan replies to you personally within 24 hours.*
*— Timothy Jacqmin, Co-Founder, Nexuro Digital*
Sources
- Aggarwal, P. et al., *GEO: Generative Engine Optimization*, Princeton University (2023, presented at ACM KDD 2024) — first academic study on GEO. https://arxiv.org/abs/2311.09735
- Pew Research Center, *Google users are less likely to click on links when an AI summary appears in the results* (July 22, 2025). https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
- Gartner, *Gartner Predicts Search Engine Volume Will Drop 25% by 2026, Due to AI Chatbots and Other Virtual Agents* (February 19, 2024). https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents
- Google, *Google I/O 2025 keynote* — AI Overviews at 1.5 billion monthly users, 200 countries (May 2025). https://blog.google/technology/ai/io-2025-keynote/