What Is GEO and How to Get Cited in AI Answers

Generative engine optimization (GEO) means making your website and brand easy to find, understand and cite for systems that generate answers, such as ChatGPT, Perplexity, Gemini or Google AI Overviews. There is no magic formula. In practice, GEO is solid SEO plus a few habits that make your information easy to extract and attribute correctly.

This article is the overview. Each narrower topic (the llms.txt file, AI Overviews, AI crawlers in robots.txt, measurement) has its own guide, linked along the way. Here we set out what works, what is myth, and what you can do in 30 days. If you are a foreign company selling in Romania, everything below applies the same way; the Romanian-language angle is only about which questions you test.

What is GEO, and how is it different from classic SEO?

GEO is the set of practices that raises the odds that an answer engine uses your page as a source and mentions your brand accurately. The term appeared in a 2023 academic paper and then spread through the industry, alongside AEO (answer engine optimization) and "SEO for AI." All three describe broadly the same concern.

The difference from classic SEO is in the outcome, not the foundation:

• in classic SEO, you win a position in a list, and the user decides what to click;
• in generative search, the user gets a composed answer with a few sources, and you want to be one of them, or at least be mentioned correctly;
• the click is no longer the only form of success: a recommendation inside an answer can influence a decision even when it does not produce a visit.

If you need the basics of the discipline, start with our guide to what SEO is and how it works. Our dedicated service is described on the generative engine optimization page.

How does an AI answer end up citing you?

There are two different mechanisms, and confusing them produces a lot of bad advice.

The model's memory. A language model was trained on a large body of text up to a certain date. If your brand was mentioned often and consistently in public sources, the model may "know" it. You cannot directly control what it retains, and you cannot request an update. It changes mainly when new versions ship.

Live retrieval. Many AI products search the web when you ask, pick a few pages, extract passages and compose the answer, sometimes with links. This is where you have direct influence: the page must be reachable by the right bots, relevant, and clear.

For the second mechanism, the sequence looks roughly like this:

1. the system turns the question into one or more searches;
2. it finds candidate pages (through its own index or through partners);
3. it reads the pages and extracts passages that answer the question;
4. it composes the answer and decides which sources to show.

Each step can eliminate your page. That is why "boring" work such as indexing and bot access comes before "creative" work.

What Google says: for its AI features, SEO applies

Google is clear in its documentation for AI Overviews and AI Mode: there are no extra requirements. To appear as a supporting link, a page must be indexed and eligible to be shown in Search with a snippet. The documentation adds that no special schema.org markup is needed for AI and that you do not have to create special files or markup for models.

Google's guide to its generative features says, in essence, that:

• unique, useful, people-first content matters most, not the commodity content found everywhere;
• you do not need to break text into tiny pieces for models;
• clear structure, headings and natural language help, but no special formatting is required;
• chasing inauthentic "mentions" around the web is not as helpful as it might seem;
• performance in the AI features shows up in Search Console, not in third-party tools claiming access to internal metrics.

The careful conclusion: for Google, "GEO" is not a separate discipline. For the others (OpenAI, Anthropic, Perplexity) there is no equally detailed documentation of source selection, so what we know comes from their bot documentation and from observation, not from guarantees. More on Google specifically in our guide to Google AI Overviews and how to become a cited source.

The 7 GEO practices worth your effort

1. Let the right bots in

Check robots.txt, your firewall and your CDN. An engine cannot cite what it cannot read. The distinction between training bots, search bots and user-triggered bots is explained in our guide to AI crawlers and robots.txt.

2. Put the direct answer at the start of the section

The first paragraph of a page should fully answer the main question in 40–70 words, with the key term in the first sentence. Context follows. It is not an AI trick: a hurried human reader wants the same thing.

3. Say something nobody else has said

If an engine has ten near-identical pages, it has no reason to pick yours. Original data, methods, concrete examples, comparisons with clear criteria, mistakes seen in practice: these differentiate. Do not invent numbers; an honest "we have no data" is worth more than a fake statistic.

4. Make your entity clear and consistent

Company name, address, field of activity, founder, official profiles: all must be identical everywhere (site, Google Business Profile, registries, social networks). Structured data helps disambiguate, but it is not "the AI key"; our guide to schema.org JSON-LD shows what is worth implementing and why.

5. Show who writes and why they are right

A real author with a public profile, verifiable experience and cited sources. On sensitive topics, this matters even more. See E-E-A-T and how to build trust.

6. Earn authentic mentions elsewhere

AI engines form an image of a brand from several sources. Real mentions in relevant publications and in communities in your niche may help. Fabricated ones do not: Google says that seeking inauthentic mentions is not as helpful as it might seem.

7. Keep pages current

Prices, dates, specifications, policies: an outdated page risks conveying wrong information about you. A quarterly review cycle for key pages costs little.

What we know and what we do not: a verification table

The "How certain" column is a working judgment, not a measurement. Revisit it as new documentation appears.

Myths and common mistakes

• "I added llms.txt, so I will be cited." The file is a community proposal. Google says its Search ignores such files, and for other engines there is no solid public evidence that it raises citations. Details in our llms.txt guide.
• Blocking every bot "just in case." If you block search bots, you may drop out of those products' answers. Decide separately for training and for search.
• Rewriting the whole site in "AI style." Short, empty sentences do not become more citable. They just become weaker.
• Position guarantees. A vendor promising "#1 in ChatGPT" promises something it cannot control.
• Testing one question, once. Answers vary. A valid test uses a set of questions and repeats; see how to measure visibility in ChatGPT and AI search.
• Skipping basic SEO. A site that is not indexed or is very slow stays invisible, however quotable the text is.

When GEO does not apply or is not worth it

• If you do not have the basics yet (indexing, clear pages, a correct Google Business Profile), start there. An SEO audit is the logical starting point.
• If your audience does not use AI assistants for buying decisions, the extra effort may return little. Check your analytics for where visitors come from before investing.
• If your niche changes slowly and your brand already dominates locally, the stakes are lower.
• If you need fast, certain results, GEO offers neither speed nor certainty. It is a long-term effort with a probabilistic outcome.

A 30-day plan for an existing site

1. Days 1–3: access. Read robots.txt, check your server logs for which AI bots visit, and confirm your firewall is not blocking them by mistake. Our robots.txt generator helps you write the rules.
2. Days 4–7: question list. Write 20–30 real customer questions. The question generator can give you a starting point.
3. Days 8–10: baseline test. Ask the questions in a few AI products and record the date, the wording, the cited sources and whether you are mentioned. Keep the table; it is your starting line.
4. Days 11–20: key pages. Rewrite the opening paragraphs of your most important pages in a "direct answer first" form, add original data, fix outdated facts, clean up headings.
5. Days 21–25: entity. Align your company name and details everywhere, complete official profiles, check author pages.
6. Days 26–30: re-measure. Repeat the test, compare with the baseline and note what changed. For a quick first read of where you stand, try the GEO score.

Conclusion: start with what you control

GEO is not a break from SEO but an extension of it into places where the answer matters more than the list. You control access, clarity, originality and brand consistency. You do not control model decisions, so do not buy promises.

Next steps: check robots.txt, pick 20 questions, run the first test, and rewrite your ten most important pages. If you want help with a structured plan, see our GEO service or contact us.