About this site
What the placeholder text actually says, where it comes from, and how to use it well.
This site is a running instance of an automated AI content system. It is the test vehicle for a workshop stack that any participant can set up for free: a static site on GitHub, a scheduled content machine on GitHub Actions, a cheap language model via OpenRouter, hosting on Cloudflare, and a feedback loop from Google Search Console.
How an article gets made
- The machine pulls live Google Suggest data for the topic and finds a query that is not yet covered.
- It briefs itself: one query, one search intent, one content type.
- It researches with web search and keeps only sources it can link to directly.
- It writes the article, then a separate review pass checks it against the editorial rules.
- Code checks the structure: FAQ, sources, headings, paragraph length, links.
- An illustration is generated, the post is committed, and the site redeploys.
Who is behind it
The system is built and owned by Franz Enzenhofer. The blueprint and the code live in the public repositoryseo-geo-content-system.
Machine-readable
For agents and crawlers: /llms.txt, /rss.xml,/sitemap-index.xml.