Webflow · 2025 to 2026
Peter Park: one website for four countries in eight language versions
Multilingual
Eight language versions for Germany, Austria, Switzerland and Italy, sorted by country in the switcher.
Edit it yourself
The marketing team changes pages and content itself, without developers.
Easy to find
Every language version is linked to the others for Google, and AI systems find the company and its FAQs as data.
Starting point
Peter Park sells gate-free parking management: cameras read the license plate, and drivers pay by app, at a machine or automatically. The website is read by operators of parking areas in retail, at hospitals, hotels or mountain railways, in Germany, Austria, Switzerland and Italy.
The old website dated from 2021. For the new build, the design was ready, and the animations came from the design agency. My job was the build in Webflow: setting up the CMS, moving all content including redirects, eight language versions, technical SEO, testing before launch and training the marketing team.
Approach
- 01
Countries first, then languages
Codes like de-CH or it-IT mean little to visitors. So the switcher sorts the versions by country: Switzerland, Austria, Italy, plus English. Choosing Switzerland offers German, French and Italian.
- 02
Everything in one menu
All sections of the website sit in one large menu. Moving from one section to the next, visitors see no submenus opening and closing, the menu just changes its size.
- 03
The benefits at a glance
The four benefits on the homepage play one after another, each with its illustration. Visitors grasp the offer without scrolling far.
Result
Since April 2026, peter-park.de has run on Webflow, in eight language versions for Germany, Austria, Switzerland and Italy. The marketing team edits pages and content itself; I trained it at launch. Since then I have looked after the website every month, with support and SEO.
For Google, all language versions are linked to each other, and the sitemap lists every version. The homepages describe Peter Park and its frequently asked questions in every language as structured data that AI assistants read too.
“I've been working with Christian for a while now and I'm incredibly glad about it. […] When he commits to something, you can rely on it. And when something isn't quite right yet, he's happy to go another round until it really fits.”
