Can AI find your business?

GEO is the work of getting the systems that generate answers — ChatGPT, Perplexity, Gemini and the AI overviews in Google — to find your website, understand it and cite it by name. There is no position on a list here; there is an answer and a few sources under it, and GEO is the work of being one of them: clear entities, answers stated directly, structured data, and a page an AI crawler can fetch without running a browser. This audit checks exactly that.

No, because it stands on it. Most AI systems do not answer from memory: they search, fetch pages and assemble an answer from what they managed to fetch. A page Google does not index, or one that renders its text with a script, does not exist for a model either. What changes is what counts as success: being named and cited instead of a position and a click. That is why the audit starts with technical access and only then looks at content.

With a fixed panel of questions, run in the same systems before and after the changes. The "How I measure the effect of GEO" section walks through it: a set of 15–25 questions, answers recorded with a date, who is cited and what the system says about the business, then the same panel a second time. Between measurements there are two free signals: referrals from assistant domains in GA4 and what Search Console shows about results with AI features. AI visibility monitoring tools exist and some are sound, but none replaces a panel built around your own customers.

With checking what AI systems say about the company today on the questions its customers ask, and with its own website, not with content elsewhere. The first three things are usually: a page a crawler can fetch without running JavaScript, one page that says plainly what the company is, for whom and where, and structured data for the organisation and its services. FAQs, mentions and reviews come after. The audit sets that order for your website instead of handing you a generic list.

Because most of what a GEO audit recommends is a change in the code and structure of the website, and an agency hands that over in a PDF for someone else to implement. I do the audit and ship the result on the same website, in the current stack or after a rebuild, and show the difference on the same panel of questions. Scope and price are fixed, and the page you are reading is built on the same principles, which takes a minute to verify. If you need ongoing content production and PR, an agency is the better choice and I will say so before quoting.

It's a focused review of how clearly your website represents your business to AI-powered search and answer systems. I check what those systems currently understand about you, where the website is ambiguous or silent, and what specifically to change — in the content, the structure and the code.

An audit of one company website with a defined query set is from €249 net; the audit with the agreed changes implemented from €599 net. Multilingual, multi-brand or content-heavy websites are quoted separately. Quote and date within 24 hours.

In practice, by nothing that would change the list of changes on the website. AEO grew out of featured snippets and voice assistants and stresses the format of an answer; GEO looks at how generative models choose and cite sources; LLMO is the same thing named after the models. Three acronyms, one list: answer directly, name the entities, state the facts in one place, do not block the crawlers. The "GEO, AEO and SEO" table above sorts the differences, and the audit covers all of it.

By who reads the result and what counts as success. Classic SEO asks how a page ranks for keywords and whether someone clicks. GEO asks whether a model can answer a customer's question from your website and whether it names you — and puts more attention on entities, direct answers, structured data and access for AI crawlers. The lists of changes overlap for the most part, so good work here usually helps SEO too, but it does not replace it.

No. AI systems use changing data, retrieval systems and models outside my control. I can improve the information and technical signals your website provides, and show the difference on a written query set. I cannot guarantee a specific answer or citation — and I would not trust anyone who promises one.

Often the most, because questions about local services — "who nearby", "what does it cost", "who should I go to" — are exactly what people ask assistants. A small site has less to fix, so the list is shorter and the changes show sooner. If the site is so small the audit has nothing to look at, I will say so before quoting.

Not necessarily. Sometimes the existing site has a few structural problems that can be fixed in a week. Sometimes the CMS or the frontend is the limiting factor — content rendered by script, crawlers blocked, no way to add structured data. The audit is there to tell you which situation you have before you spend money on either.

Usually I start from the public website and that is enough for the audit. Deeper technical checks — crawler logs, Search Console, CMS settings — need access, but I only ask for it once I know it will add something.

The set depends on the project. Usually ChatGPT, Google AI (Overviews and AI Mode), Perplexity and Gemini, because those are what the customers of the businesses I work for use. I define a focused set around the tools and questions relevant to your audience rather than pretending every model behaves the same way. The list is written in the report.

Yes. I can handle the technical and content changes on the existing site or, when the foundation is the problem, help rebuild it on a more suitable stack. The "audit + implementation" bundle exists for that. No obligation: the report is written so it can be implemented without me.

I audit the website, not the whole internet. Directory listings, reviews, industry profiles and links from other sites are checked only as far as the AI answers draw on them — I do not build them and do not sell "authority building". There is no ongoing monitoring either: the audit is a snapshot on a date, with the query set written down, so it can be repeated in six months and compared. And there is no 0–100 score — a number that looks serious and says nothing about what to change.

The audit of a typical company website takes about a week from agreeing the query set. Implementation depends on the list — most often another week or two. The date comes with the quote.