GEO (Generative Engine Optimization) means shaping your website so that AI-powered answer engines — ChatGPT, Google AI Overview, Gemini, Perplexity — can easily process it, correctly understand it and quote it. The goal is not a good position in a list of results, but that when your customer asks an AI, your business is in the answer.
That definition sits at the top of this article, in a single block, on purpose: this is exactly what content that an AI can quote looks like. By the end of the article you will see why.
Why did GEO suddenly start to matter?
Because the research phase of buying decisions is moving into AI assistants. In a recent survey of Hungarian business owners and consumers, close to 85 percent of AI users named ChatGPT as their primary tool, with Google Gemini second at 32.4 percent, and 57.2 percent of respondents said they use these tools specifically for research and orientation — in other words, to prepare a decision.
A traditional Google search returns ten blue links and lets the user choose. An AI assistant returns one answer, containing one or two recommendations. There is no second page and no scrolling further down — either you are in the answer, or your competitor is.
Where does the term come from?
GEO was not born as a marketing buzzword. The term was introduced by a 2023 academic paper (Aggarwal et al.), which demonstrated measurably that certain content interventions — quotable statements, statistics, citations, clear structure — significantly increase the chance that a generative engine will pull a given source into its answer. The industry has since added a technical layer on top, and GEO has become a discipline of its own alongside SEO.
GEO vs. SEO: what is the difference?
The two fields are not enemies but relatives — they simply aim at different targets:
| SEO | GEO | |
|---|---|---|
| Goal | Rank higher in the Google results list | Get into the answer generated by the AI |
| Who processes the page? | Google’s indexing robot | AI crawlers (GPTBot, ClaudeBot, PerplexityBot) and language models |
| What counts? | Keywords, links, rankings | Quotability, machine-readable entity signals, source credibility |
| The outcome | A click to your site | A mention, recommendation or quote in the AI’s answer |
| Measurement | Position, organic traffic | AI crawler activity, appearance in AI answers |
The good news: a strong SEO foundation also helps GEO. The bad news: on its own it is not enough — GEO has its own separate tasks that classic SEO never dealt with.
The three areas of GEO
In our work — and in our audits — we break GEO into three pillars:
1. Technical GEO — can the AI access and understand your site? This covers whether your robots.txt lets AI crawlers in, whether you have an llms.txt file, whether you have structured data (JSON-LD) that states in machine-readable form who you are and what you do — and also whether your content appears only after JavaScript execution, because most AI crawlers do not run JavaScript. In that case the visitor sees everything and the AI sees an empty shell.
2. Content GEO — is there anything to quote? Concrete numbers, clean definitions, question-and-answer blocks, a named author, a visible date. A language model does not quote a marketing slogan; it quotes a statement that stands on its own.
3. Off-site GEO — does anyone else confirm what you claim about yourself? Trade press, industry sources, forums, Wikipedia — these are the sources AI answer engines read. The more trustworthy places your company appears consistently, the better your chance of making it into an answer.
What we actually see on websites
The observations below come from GEO audits we ran on Hungarian-language websites. The patterns, however, are not specific to Hungary — we see the same gaps on most non-enterprise sites regardless of market.
Explicit AI crawler permission is almost nowhere to be found. Most robots.txt files contain a single generic rule block — AI crawlers get access only by accident, without any deliberate permission. Outright blocking is fortunately rare, but a deliberate signal is rarer still.
llms.txt is practically unknown. This is the simple text file that summarises for AI systems who you are and what your most important content is — we almost never encountered it on the sites we examined. Whoever moves now gains an early advantage.
Structured data exists, but is unfinished. On one large job portal we audited, the job listings carried JobPosting schema with salary data — but the expiry date (validThrough) was missing, which is a mandatory element for Google job results. Two lines of template fix stood between them and their work being worth its full value.
Good content is often left unmarked. On several sites we found excellent, data-rich FAQ blocks and articles — with no author, no date and no schema markup. To an AI these are ownerless texts: it cannot tell who is making the claim, when, or how current it is.
How to get started
Find out where you stand. Check the basics first: does your robots.txt allow AI crawlers, is there structured data describing your business, is your key content visible without JavaScript, and does every important page carry an author and a date?
Fix the technical foundations. The typical list of issues (AI crawler permissions, llms.txt, schema additions) is usually a few days of developer work — you do not need a new website for it.
Build the content and the external presence. This is the longer game: quotable content answering real customer questions, and presence on the sources AI systems read. If you would like expert help, see our GEO service page.
Frequently asked questions about GEO
What is GEO in one sentence?
GEO (Generative Engine Optimization) is the optimisation of a website so that AI-based answer engines — ChatGPT, Google AI Overview, Gemini, Perplexity — process, understand and quote its content.
Does GEO replace SEO?
No — it complements it. Google search is not disappearing, but a new channel has grown up beside it with its own rules. A good SEO foundation helps GEO, but on its own it is not enough.
How long does GEO take to produce results?
Technical fixes can be completed in days, and their effect is first measurable in AI crawler activity, which you can see in your server logs. Actually appearing in AI answers is typically a matter of weeks to months, because language models refresh their knowledge periodically.
Is GEO worth it for a small company?
Often it is most worth it for them: getting into an AI answer is frequently easier than reaching the top of a results list full of big-budget competitors. AI does not recommend the biggest brand — it recommends the one that answers the question most clearly and most credibly.
How can I measure where my site stands today?
Start by asking the AI engines the questions your customers would ask in your category, and record who they name. For the full picture — subpages, content, external presence, competitors — an expert audit is the right tool.
Written by Endre Kovács, SEO and GEO specialist, managing director of Marketing Kalkulátor Kft. He has worked in search engine optimisation since 2007 and speaks regularly on AI search, including at AI Expo events.