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Sourced, practical writing on AI visibility — how engines select sources, what the framework measures, and what the live data actually shows.
Two ChatGPT updates cut the brands named per answer roughly in half. Who kept their seat, and five moves that still work.
Engines search for rewrites of the prompt, not the prompt. Six heading habits that survive the rewrite.
Its top ten domains take 12 percent of citations. Seven rules from 730,000 conversations.
The most cited domain, the average cited thread a year old, and complaints edging out praise. What to do about it.
158,000 fact-checked claims say the errors trace to about four sources, and half of brands are their own worst one.
Most questions never trigger a search — and four intent types do almost all of the triggering.
Structural patterns shared by pages AI engines cite — and the ones they pass over.
Why composite metrics are built to be reported rather than acted on — and what to break them into.
The statistic behind a decade of content calendars, and what the published evidence actually supports.
Why deterministic scoring is the precondition for trusting a trend line.
Rethinking content goals when the click is no longer guaranteed.
The four mechanics that decide whether good writing is usable by a machine.
Every published piece cites its sources.
A live walkthrough on your own site — your pages, your citations, your gaps across every AI surface.
Request a demo