Fan-Out Queries Explained: A Guide for AI Visibility
When prompting an LLM model, the AI typically performs so-called fan-out queries, which means that it independently performs and processes multiple searches about a topic at the same time. That matters for AI visibility because a brand can rank for the obvious query and still miss the sources an AI model actually checks. If you want more consistent mentions, it helps to think less about single-keyword rankings and more about branch coverage across the subtopics, comparisons, evidence types, and editorial sources an AI engine may consult.
What is the editorial tax (and what does it mean for GEO)?
If you’ve spent any time thinking about GEO, you’ve probably noticed that earned media keeps coming up. There’s a good reason for that. According to research from Observer, 89% of links cited by AI originate from earned media sources. Your own website content matters, but AI engines overwhelmingly lean on what others have written about […]