Part of GEOly's "GEO / AEO Expert Watch" series — meet Dan Petrovic, a quick map of their public work and where to follow them, with links to the original sources.
Who is Dan Petrovic
Known for technical experiments, algorithm analysis, and data-driven SEO testing including AI visibility work.
What these experts share: they treat "can the machine crawl and correctly parse your content" as the first-principles question of GEO — and they answer it with experiments and data, not folklore. Their recurring focus areas include: SEO experiments, ML, AI search visibility.
What GEO / AEO practitioners can learn from Dan Petrovic
- Crawlability & parsing first: many AI crawlers render worse than Googlebot, so server-side rendering, clean HTML and a clear heading hierarchy decide inclusion more than flashy JS.
- Structure is signal: semantic markup and explicit entities/facts make it easier for retrieval systems to lift your passage — the heart of relevance engineering.
- Validate with experiments, not guesses: treat every change as a testable hypothesis, judged by before/after citation and mention rates.
GEOly angle: Experiment-led article on measuring brand visibility inside AI knowledge systems.
What it means for brands going global
For brands going global, the first gap is usually not creative — it is the technical foundation: make sure major AI crawlers can access you, that product and content pages carry stable structured data, and that key facts are readable as plain text. Only on that foundation can content and brand signals get cited.
Want to see how your own brand shows up across ChatGPT, Perplexity and Google's AI answers — and how you stack up against competitors? That is exactly what GEOly's brand GEO audit measures: citations, share of mentions and answer share, tracked over time.
Watch & listen
Prefer video or audio? Follow Dan Petrovic's talks and conversations here.
