AI search visibility, done for you. Not audited. Fixed.
ChatGPT, Gemini, and Google AI now answer instead of listing. We put the machine readable layer on your site that those systems read before they decide who to name. No developer needed on your side. One payment, no retainer.
Fix my site for 399 EUR →Card payment. If your GEO Index does not improve by at least 10 points, you get the full fee back.
> who is the best supplier for this in Europe?
Based on the sources I can read, three companies stand out:
You know how this used to work. You ranked somewhere on page one, a share of people clicked, and if you slipped to position nine you still got traffic. Position was a dial, not a switch.
That is not what happens now. Someone asks ChatGPT for the best supplier in your category. They get three names and a short paragraph. They do not scroll, they do not compare, they do not open a tenth tab. They call one of the three.
If you are not one of them, you were not ranked lower. You were not there at all.
Schematic drawing of a result page, not a screenshot. Google and the Google logo are trademarks of Google LLC, shown to identify the search interface and nothing else.
A search engine crawls your page, judges relevance, and puts you in an order. A language model does something else: it needs to state a fact about you, so it looks for facts it can trust in a form it can parse without guessing.
If your company description exists only as a sentence inside a hero image, a human reads it and a machine does not. If your services live in a slider, a human clicks and a machine sees nothing. If your robots file quietly excludes AI crawlers, which happens by accident far more often than on purpose, then nothing else you do matters.
This is why good looking sites score badly, and why the fix is not a redesign. Nine specific things decide whether a machine can describe you correctly. We put all nine in place.
A software company with a good site, a clear message, and thirty years of writing about how to do this well, measured on the same meter we point at your site. It scores 62. The gap is not competence. Almost nobody has done this layer yet, which is exactly how early this market still is.
We measure your homepage against the nine items an AI search system uses to build an answer about you, then we implement the ones you are missing. Same nine every time, which is exactly why the price can be fixed.
Schema and JSON-LD describing your organization, your location, your site, and your navigation, in the format these systems parse first.
A machine states what you do instead of inferring it from your page layout.A dedicated file telling AI crawlers which parts of your site matter and how to read them.
You decide what gets picked up, rather than leaving it to chance.Robots rules that explicitly allow the AI crawlers you want, and reveal the ones you were blocking without knowing.
The systems you want to appear in can actually read the page.An FAQ layer built the way a model reads questions, so your own wording is what gets quoted back.
Your answer competes for the citation, instead of your competitor's blog post.Meta layer, heading hierarchy, and verified sameAs links to your real profiles.
The model connects the same company across sources, instead of treating you as three unrelated mentions.You get the number, not an opinion. Run it again yourself any time with the Chrome extension included in the package.
You can verify our work without taking our word for it.You name three competitors. We run the same nine checks on their sites and put the scores in your report, next to yours, with the domains named.
You find out whether you are behind the market or ahead of it, which your own score alone cannot tell you.The nine are not our invention and they are not a menu. They are the nine places an AI search system looks when it has to state a fact about a company: four of them declare what you are (structured data, the organization and location entities, your identity links), three of them decide whether a machine may read you at all (crawler permissions, the llms.txt file, the meta and heading layer), and two of them turn your own wording into something quotable (the FAQ structure and the answer formatting). Miss one and the model guesses. Miss three and it names somebody else.
Every project gets the same nine, measured the same way, which is why the fee is a single number rather than a range.
A block of JSON-LD in your page source that states, in a format a machine parses without guessing, what this page is and what this company is. Your visitors never see it. It is the first thing an AI system looks for, and when it is missing the model has to infer your business from your layout, which is exactly where wrong answers come from.
The title, description and canonical tags that say what the page is and which address is the real one. They also decide what your page looks like when something quotes or shares it. Duplicated or missing ones make one site look like several unrelated pages to a parser, so the facts never add up to a company.
One H1 that states what the page is, with H2 and H3 in order underneath it. Machines read the heading tree as the outline of your content, so an outline built out of styled divs arrives as one undifferentiated block. This is the cheapest item on the list to put right and one of the most frequently broken.
Real question and answer pairs on the page, marked up as FAQPage structured data. This is the format assistants quote from most readily, because a question with one clear answer is already the shape of a reply. It is also the one place where you choose the exact wording that gets repeated about you.
A plain text file at the root of your domain, next to robots.txt, written for language models rather than people. It summarises who you are, what you sell, and where the pages that matter live. It is the only item here that exists purely for machines, it costs nothing to serve, and it removes the guesswork from the first read.
The rules in robots.txt that decide whether GPTBot, ClaudeBot, PerplexityBot, Google-Extended and the rest may read you at all. Blocking them is almost always an accident, inherited from a template or a security plugin. If this one is wrong the other eight cannot rescue you, because nothing ever gets read.
The entity types in your structured data that say this is a company, this is its legal name, this is its address, these are its contact points. Search systems store entities, not pages, and this is what your facts get attached to. Without it a model holds a document about you rather than a record of you.
A list inside your structured data of the profiles that are genuinely yours: LinkedIn, the company register entry, Facebook, YouTube, the industry directory. It lets a machine connect this site to the entity it already knows from elsewhere. That link is what turns scattered mentions into one confident answer.
The outcome check: we ask real assistants the questions your buyers would ask, then record whether your domain is named in the answer. It is the only one of the nine that measures the result rather than the plumbing. It is also the number that tells you whether the other eight did their job.
The package works on any platform, only the installation method differs. Three competitors, not four: it is a fixed scope, like everything else here.
It is adjacent to their job, and in practice they are not doing it. Ask them for your llms.txt file and your Organization schema. If the answer is a proposal instead of a URL, it is not in place. This work is a one time technical layer, not a monthly retainer, so it does not compete with what they do and it does not replace them.
Nothing, and if you have a developer with time, that is a legitimate choice. What you are buying here is the specification and the certainty: the nine items, in the formats these systems actually accept, plus the measurement that tells you it worked. Most teams do not fail at the code. They fail at knowing which nine things, in what form, and then at verifying it afterward.
Because the scope is a single number too. Nine checks, one domain, implementation included. We are not estimating unknown hours, which is what a range really admits. If your site needs work beyond those nine items, we say so before you pay, and that work is not part of this package.
Some of it can, and we will not pretend otherwise. AI crawler standards change, and a site edit can remove an element we added. What we install is stable, but it is not immune to your next redesign.
This is exactly why we re-measure your site every month for twelve months and email you the result. If an element disappears after a redesign, that report is where you find out, and you find out from us rather than from a drop in inquiries. It is included in the fee. Continuous prompt-by-prompt tracking is a different service, and most companies buying this page do not need it.
There is no license to renew and nothing switches off if you leave.
We are not going to promise you revenue. Here is what the mechanism can and cannot do.
It removes the technical reason for being left out. The rest is your business.
Every provider we measured in this market sells the same thing first: an audit. You pay for a document that tells you what is wrong, and then the repair is a second conversation with a second, larger, open ended number attached.
We inverted that. The measurement is free and takes half a minute. The thing you pay for is the work being finished. When the invoice arrives, the files are already on your site.
implementation, not advice
No retainer. No recurring charge. Nothing to cancel.
Fix my site for 399 EUR →Card payment, EU invoice. Work starts the same week.
Every provider we measured sells you one report. We measure your site every month for twelve months and email you what changed. That is in this fee, not on top of it.
A one time GEO audit in English speaking markets runs from 500 to 2,000 USD, and monthly monitoring from 500 to 1,500 USD. A Swedish provider lists 4,900 SEK, roughly 430 EUR. In every one of those cases you are buying the report. The implementation is quoted separately, after.
Content writing is not included. Link building is not included. Continuous prompt-by-prompt tracking of your AI visibility is a separate service, not part of this package: if that is what you need, tell us and we will explain what it involves. You do not need it to get the fix, and the twelve months of monthly re-measurement described above are included either way.
We measure your GEO Index before we touch anything, and again after the work ships. If it has not improved by at least 10 points, you get the full fee back. Not a credit, not a partial refund, not a discount on the next thing.
This is a safe promise for us to make for an unglamorous reason: on the nineteen sites we have published, the smallest improvement was 35 points. We are guaranteeing well below what the work normally does. That is the correct way around.
We have been measuring AI visibility on real sites since 2023, when we first presented on this from a conference stage. The dataset is ours and it is not flattering to the market.
We first presented on AI visibility from a conference stage in 2023, and we have been running the same meter on real sites ever since. The scoring matrix behind it comes out of our own 36 page research, so a score means the same thing in March and in November.
Read the average again: most sites are failing this, including well funded ones. We measured stripe.com at 78 and basecamp.com at 62. Those are not sloppy companies. The gap is not competence, it is that almost nobody has done this layer yet. That is the window, and it closes as soon as it becomes standard.
Most projects end here, and that is a legitimate outcome. If you want more later, these are the honest next steps, in order of who actually needs them.
Before and after scores from real sites, our own included. The four with the largest movement are in the table, the whole set is summarised under it. Every domain we name can be run through the meter by you, on your own.
| domain | before | after | movement | |
|---|---|---|---|---|
| 230volt.hu | 34 | → | 100 | +66 |
| wellworking.hu | 34 | → | 100 | +66 |
| shop.butoralkatreszbolt.hu | 43 | → | 100 | +57 |
| kreativkontroll.hu our own site | 30 | → | 87 | +57 |
Four rows out of the nineteen sites we have published so far. Across all nineteen the average movement is +50.8 points, the smallest is +35 and the largest is +66, against a guarantee of 10. Eleven of the nineteen finished at 100 and eight did not, including two that stopped at 67, which we keep in the set on purpose: a reference list with no ceiling cases in it is a marketing asset, not evidence.
A few days from the point we have access. Not weeks, and there is no discovery phase to sit through.
Enough to publish files on your domain. On WordPress that is an admin account. On other platforms it depends on the stack, and we will tell you exactly what before you pay. We do not need access to anything beyond the site.
No. What we add is text based metadata and a small file. It does not load scripts on your front end and it does not change how your pages look.
No. Nothing we install is visible to your visitors. Your layout, copy, and brand are untouched.
The structured data and the FAQ layer are content, so they migrate with your site if your new platform supports them. The llms.txt file and robots rules take minutes to recreate, and your implementation notes tell your developer how.
Yes. There is no recurring charge on this package, nothing auto renews, and there is nothing to cancel. Monitoring, if you ever want it, is a separate decision you make later.
The implementation is language independent: structured data and robots rules are not written in English or Hungarian, they are written in a format. We handle the project in English and we mark up your existing content in whatever language it is published in.
Put your domain in the field and you will get your score out of 100, plus the specific items you are missing. No call, no discovery session, no sales sequence you have to escape. If the score is already high, we will tell you that and you should not buy this.
Put in your domain and we run the same meter we run on paying clients. One score from 0 to 100, plus the items you are missing, in about half a minute.
No email at this step. No account, no call, no sales sequence.
Reading your site the way an AI assistant reads it.
The score, the missing items, and what each one is worth in points. We email you the same result you are about to see, so you can forward it internally.
available on your site from the items above. We implement all of them for €399, and guarantee at least 10 points or your money back.
Two things are still worth doing. Run the same measurement on the three competitors you would name if someone asked, because your own score alone does not tell you whether you are ahead. Then run yours again in a few months: crawler rules change and a redesign can quietly remove what is in place today.
Card payment, EU invoice. Work starts the same week.
Run the free measurement on your own site, then run it on the three competitors you would name if someone asked. That comparison answers the only question that matters here: are they in the answer and are you not.
If you would rather not give us your email yet, do it manually. Open your own robots.txt and search for the AI crawler names. Try to fetch yourdomain.com/llms.txt. Paste your homepage into any public schema validator. Whatever comes back empty is what we install. You will reach the same conclusion we would, it will just take you an afternoon.
Some sites cannot be measured from the outside. Large consumer platforms often run aggressive bot protection that refuses automated requests, and when that happens our meter returns no score rather than a bad one. We have seen it on sites like hemnet.se and bol.com. Our meter reports this honestly as blocked, with the server's response code, so nobody ever receives a fabricated zero.
For the companies this page is written for, this has not come up. We measured stripe.com at 78 and basecamp.com at 62 without any difficulty. If your site does turn out to be unmeasurable from outside, we will tell you before you pay, because a score we cannot verify is a guarantee we cannot honor.