Notes from the trail.
Research, playbooks and product updates on how brands show up in AI answers. Every claim has a source; every study shows its method.
Latest posts
Introducing Citeroot: see what AI says about you, and why
Why we built Citeroot, what it records, and the three promises we're making about how it behaves.
Mentions, citations and recommendations: three signals people keep mixing up
A brand can be named without a link, linked without being named, or recommended without either. Why the distinction matters and how to measure each.
Which AI crawlers should your robots.txt allow? A purpose-by-purpose guide
Search, training and user-triggered fetching are different permissions. How to decide each one, and how to check what your site currently says.
How to build a prompt panel that doesn't lie to you
The questions you track decide what you can learn. A practical method for choosing, grouping and freezing them.
Why your AI visibility score moved (and why it probably isn't your last blog post)
Run-to-run variance, panel changes and collection failures can all move a score. A checklist for ruling them out before claiming a cause.
A first-month GEO plan for a small marketing team
Four weeks, one owner, no new headcount: baseline, investigate, ship one improvement, re-measure.
Reading GA4 for AI referrals: what you can and can't attribute
Some AI assistants pass a referrer and many don't. How to measure the visits you can identify without inventing a total.
Answer capsules: writing the paragraph engines can actually quote
A short, self-contained opening that states the answer, the audience and the limit. What it is, how to write one and what it can't do.
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