About
I get companies named in AI answers.
Ten years building multilingual content systems, first in consumer tech, then in European fintech. The job was always the same: structured content that machines read correctly, at scale, in more than one language. AI visibility is that job with a new machine on the other end.
Buyers now shortlist vendors inside ChatGPT, Claude, Perplexity and Gemini before they visit a website. If the answers do not name your company, you are not on the shortlist, and nobody tells you why.
I find the answers you are missing from, then fix the reason. Most of the market sells a dashboard that reports the problem. My work is the part after the dashboard.
How I work
Nothing invented. Questions come from real search and answer data. Every figure traces to a source, and anything unverifiable is flagged, not published.
Every recommendation carries the reason and a change-risk rating, because in a regulated firm someone has to explain why a change was made. Measured before and after: the same questions re-run on the same engines, so improvement is demonstrated, not claimed.
Who I work with
Finance. Fintech, payments, wealth and insurance, and the finance function inside companies in any industry. I also build compliance-grade AI systems, self-hosted and EU-resident, for firms that want AI they control rather than AI they rent.
What ten years taught me
Four things I did not believe at the start, and now do. The employment history behind them is on LinkedIn, with the names attached.
- The problem is structural, not editorial
- Most AI invisibility comes from structure the engines cannot read, not from prose they did not like. I learned that building content systems for a global consumer technology company, where structure was the whole job.
- Multilingual is not a translation layer
- AI answers differ by language in ways translation does not fix. I built the tooling behind a European fintech's visibility programme across four markets and four languages.
- Measurement only counts if it reaches pipeline
- Mentions are not the metric. On a cross-border payments programme we joined visibility to conversion data, so the question became which answers are worth appearing in.
- In regulated work, compliance sets the architecture
- I have built systems where data residency and GDPR drove the design rather than followed it. That is a different discipline from adding a cookie banner at the end.
See where you stand.
The same check the accountancy firm got, on your domain. About a minute. Costs nothing.