
AI-Ready SEO & GEO Optimization
I prepare websites for how AI search engines understand and present information today. My approach combines technical SEO, structured data, and GEO (Generative Experience Optimization) to make your site visible and relevant in AI-driven results.
Audit: what assistants say about you now
Correction: fixing what they get wrong
Monitoring: tracking it month to month
Readiness: making the site legible to them
AI-ready SEO and GEO: two problems, four services
People increasingly ask an assistant instead of searching. The answer names two or three companies, and the buyer usually contacts one of them. That produces two separate problems, and most work sold under this heading conflates them.
Visibility — whether you're named at all when someone describes their situation to ChatGPT, Perplexity or Google's AI answers.
Accuracy — what gets said about you when you are named. Outdated prices, services you dropped, a capability credited to a competitor, or a caution advising the buyer to check your credentials.
The diagnosis differs, and so does the work. If you appear in two answers out of twenty, that's visibility. If you appear in fifteen and half describe you incorrectly, that's accuracy — and adding content won't touch it.
This page explains the field and points you to the right service. Each of the four below is a separate piece of work with its own scope and price.
| Your situation | Which problem | Which service |
|---|---|---|
| You don't know what assistants say about you | Unknown — start here | AI visibility audit |
| They describe you incorrectly | Accuracy | Correcting wrong information in AI answers |
| Corrections are done, you need to know if they held | Accuracy, ongoing | AI brand monitoring |
| You're rarely or never named | Visibility | Preparing a website for AI search |
How to tell which of the four services you need
Start with the audit if you don't know
Almost everyone's first move is to type their company name into ChatGPT and read what comes back. That produces an impression, not a measurement — answers vary between runs, so a single check proves nothing either way.
The audit is the same question asked in a controlled way, recorded so that next month's run can be compared against it. It's also the only one of the four that tells you which of the other three you actually need. If you're unsure, it's the cheapest way to stop guessing.
The distinction that decides everything
An error can live in one of two places, and only one of them is reachable.
In a retrievable source — an outdated directory listing, an old press item, a competitor's comparison page. The assistant searched, found it, repeated it. Fix the source and the claim changes on the next crawl.
In the model's training data — no live source exists. That version of your company persists until the model is retrained, on the platform's schedule, and source corrections don't reach it.
Knowing which you're dealing with is what stops months being spent on something that was never going to respond. It's established in the audit, before any correction work is quoted.
What none of this promises
Nobody can guarantee what an assistant will say. Answers vary between runs, get reassembled over time, and depend on phrasing, language and whether the assistant searched at all.
No fixed timeline for corrections either: source changes take effect after a recrawl, usually weeks, and training-data claims may not change at all this quarter.
And this doesn't replace search work. AI visibility rests on the same technical foundation as search — if your pages aren't indexed or load badly, there's nothing here to build on.
Prices
From €250 for a one-off audit to €800 a month for ongoing monitoring, with project work — like preparing a site to be legible to AI search — in between. Each service page carries its own figure and what it depends on; there's no single package price, because the four are genuinely different pieces of work.



