AI visibility
and GEO optimisation

GEO is optimisation for generative search engines: the work that gets your business into the answers of ChatGPT, Gemini, Copilot, Perplexity and Google AI Overviews. It plays the same role as search engine optimisation does for the classic results list, except here it isn't about ranking, but about which source the model cites.

Yes, because the two are built on largely the same foundation: a fast, indexable site, a clean structure and genuine content. What works well for SEO also helps the models, since most of them draw on search engine results.

GEO differs in that the goal isn't ranking but citability: factual wording, a question-and-answer structure, concrete figures and clear company details. That's why the two are cheapest done side by side.

Not on its own, but it counts for a lot. Gemini and Google AI Overviews draw on the Google index, so a good ranking there translates directly into AI visibility. ChatGPT and Perplexity, however, rely on other sources, so without Bing indexing and structured data your business won't reach a portion of users at all.

From reading the same facts about it in several independent places: your own website, your Google Business Profile, company databases, industry directories and mentions. When these all agree, the model concludes that it's dealing with a real, identifiable business.

If they differ (a different company name, an old address, a different phone number), the business remains an uncertain entity, and the model would rather cite a safer alternative instead. Consistent company data is therefore the cheapest and fastest step in GEO.

An AI search engine writes a summary answer to your question and marks its sources. Five platforms currently matter in Hungary: Google AI Overviews and AI Mode, ChatGPT's search, Gemini, Microsoft Copilot and Perplexity.

According to Keyword Planner, the Hungarian term "ai kereső" ("AI search engine") gets 1,600 searches a month in Hungary, so users are consciously searching for these tools. We measure the work across all five platforms, since they each draw on a different index.

Essentially, yes. AI SEO, GEO (generative engine optimisation), AEO (answer engine optimisation) and LLM SEO are all names for the same work: getting language models to find, understand and cite your business as a source.

The term "AI SEO" is sometimes used for something else too: search engine optimisation carried out with artificial intelligence, such as text written by AI. That's a different topic, since mass-generated content is typically left out of the models' citations.

A Google AI Overview is a generated summary that appears at the top of the results list, with a handful of source links. It draws on the Google index, so a good organic ranking is a direct advantage here.

Being featured is helped by a paragraph that answers the question straight away, structured data and measurable authority on the topic. Our client, robottelepites.hu, already appears in Google's AI answers, as shown by a screenshot on our search engine optimisation page.

The AI visibility snapshot is a fixed €490 + VAT, and the one-off full audit is a fixed €990 + VAT: a technical and content review, an AI crawler traffic report, model-response testing, a competitor comparison and a written report with a prioritised to-do list.

The ongoing GEO package is billed monthly, between €790 and €2,400 a month + VAT, depending on the size of your site and the amount of content involved. The audit can also be ordered on its own, and you can carry out the to-do list with your own team.

The effect of the technical work is measurable in weeks, since Bing indexing and structured data are indexing matters. Directory mentions and reviews take a few months to work their way into the models' answers. Where a good Google ranking is already in place, results come fastest.

You get a monthly report with two data sets. One tracks AI crawler visits, measured on our own servers; the other tracks the model responses to a fixed set of test questions, including mentions of your business. Both can be compared with the previous month, so the trend is visible.

For general, encyclopaedia-style questions, websites genuinely do get fewer clicks: if the model can answer something itself, it will. This traffic was never bringing you customers anyway.

What remains, and even grows in value, are the specific pre-purchase questions, where price, availability, references and a decision are needed. Here the model recommends a provider and cites a source, and that visitor is much closer to placing an order than someone arriving from an average search.

In most cases, no. The markup, content reshaping and technical setup can all be done on your existing site. We only recommend a replacement if the site appears to crawlers as an empty JavaScript application, or is so slow that crawlers give up on it early.

llms.txt is a simple text file at the root of your site that briefly summarises what your business does and which are its most important pages. Its purpose is to let language models find the essentials easily, without having to parse the entire site.

It isn't a mandatory standard and won't produce results on its own, but it's cheap and does no harm. With us, it's part of the GEO package, maintenance included: an outdated summary does more harm than good.

This is a decision worth making consciously. If you want your business to appear in AI answers, you need to allow the crawlers used for answering questions: blocking them means blocking your own visibility.

There is a difference between crawlers, though: some read for answering, others collect for model training. The two can be controlled separately, so your original content can be protected without giving up visibility. We handle the setup and measure the bot traffic.

A great deal, because the models don't treat your own claims as evidence, but what others write about you. A trade article, a directory listing, an interview or a genuine review are worth more than any marketing copy you write yourself.

That's why mention-building is part of GEO work: getting your business featured on relevant industry platforms and regularly gathering reviews. It's the credible source that counts, not the quantity.

Access to your website and search consoles, plus a professional contact we can ask questions. We write the content, but the figures, prices and real project data come from you. These are exactly what make your business citable: AI cites the specifics, not the marketing copy.

First, you need to find out where it's coming from: an incorrect statement is almost always down to an outdated or inaccurate source, such as an old price on your own site, a discontinued service in a directory, or a mixed-up company name.

The fix starts at the source: you need to update the data wherever the model reads it, and provide a clear, well-marked version on your own site. After that, the answers gradually catch up with reality, but that takes weeks, not an instant.

Yes, just differently: there, the quality of your product data is what decides it. Precise brand and model, price, stock, specifications and reviews, all with machine-readable markup: this is what lets the model make comparisons and recommendations.

Content that helps with buying decisions matters a lot too: size guides, comparisons, usage tips. These are what people ask AI about, and whoever answers them gets cited.

No, these are two separate services. AI visibility is about external models surfacing and citing your business. AI integration, by contrast, means building artificial intelligence into your own processes, for example for customer service replies or document processing. The two sit well side by side, but they're separate projects. We've written about AI integration in detail on our AI solutions page.