Thoughts, tutorials, and insights about web development and technology—helping your team get great design done at scale.
Grok answers brand questions for 117M monthly users per the SpaceX S-1. We measured what it says, and it got our own brand wrong. Check yours today.
You cannot control what AI recommends about your brand. Here is why AI answers are volatile by design, and the five things to measure instead.
Publishing more content will not make you visible in AI answers. Evidence architecture, your claims, entities, sources, and structure, is what gets you cited.
Most AI visibility scores are opaque grades you cannot defend. Here is how Radar scores AI visibility in three separated layers, with a trail behind every number.
Google Preferred Sources is the one AI visibility lever your audience controls, not the model. Here is how it works, who qualifies, and how to earn it.
Our analytics say Claude is our #1 AI traffic source. Our own Radar says Claude cites us the least. The two rankings are almost perfectly inverted. Here is why referral traffic cannot measure AI visibility.
The experience designer is evolving from executor to orchestrator. Why legacy UX did not get replaced by AX Design, it got extended, and how to make the climb.
Google says llms.txt is unnecessary. Chrome Lighthouse audits it anyway. We fact-checked five studies on what llms.txt really does for AI visibility in 2026.
When AI engines link your brand to the wrong same-named entity, you still get cited, but the citation points at someone else. Here is how brand disambiguation fails and how to fix it.
