Proof
Two industries. Two problems. One instrument.
Case 01 · Women's health
The signal that compounds.
A national women's health brand was barely in the answer when buyers asked AI about its category. We engineered a five-part national data series through national wire, giving journalists a reason to cite and the engines a primary source to retrieve.
+600%
cumulative AI citation signal in 32 days
49 / 60
citation score across five engines · 82% of maximum
347
placements from one release · 85.4M monthly reach, anchored by Yahoo Finance and AP News
3 of 5
engines at 10+ of 12 · one holding a perfect score
Between waves, two engines softened while two recovered. A blended average would have hidden it. We score per engine, every time, so the dips were caught, diagnosed to specific buyer questions, and targeted in the next wave. Measurement is not a report card. It is the steering wheel.
Case 02 · Consumer health devices
The machines were citing the science. And crediting the wrong brand.
A global consumer health device brand had peer-reviewed clinical proof, and the engines were quoting it. But one engine credited a rival device with the brand's own results, every single time. We repaired the citation chain: a scientific release through national wire put the study on record as a brand-attributed primary source, and MedicalStudy and FAQPage schema connected the science to its owner.
20 / 60
baseline citation score, from zero, within 24 hours of first wire
1 → 7
fastest engine lift (of 12) after structured data shipped
90.5M
unique monthly syndication reach for the science release · 323 postings
Per engine
one engine still credits the rival · which is why we re-score, never audit once
Owned content alone could not fix this. The engines needed a trusted third-party record connecting the science to the brand. Wire-distributed primary source, schema markup, per-engine tracking to confirm the repair holds. That is the citation chain.
One brand needed volume: presence in the sources engines trust. The other needed precision: the right name attached to signals already flowing. The Maturity Method™ diagnosed both, sequenced the work by weakest dimension, and reported per engine, never blended. That is the difference between monitoring your AI visibility and moving it.