Case studies from tracked client work: what we built, what the engines started answering, and what changed for the business. Measured, not promised.
of clients appear in AI recommendations within 30 days
CLIENT-ATTESTED · TRACKED CLIENT WORKreceive AI-attributed inquiries within 90 days
CLIENT-ATTESTED · TRACKED CLIENT WORKA Melbourne heritage architect: 35 years, 400+ projects, a 98% approval record across 10+ councils — none of it legible to the machines her buyers now ask first.
An Australian co-living specialist with an $810M portfolio and 15 years of delivery. Strong company — but co-living is a category buyers ask AI about, not Google, and that room was still up for grabs.
A car-buying advocate with real insider credentials — flat fee, zero dealer compensation. In April, the diagnostic scored him 18/109, and AI sometimes mislabeled him as a car retailer.
A CPA-supervised bookkeeping firm in Cedar Park, Texas. A cold email claimed AI tools were recommending the local incumbent on ~60% of buyer queries — and her firm on ~8%.
Every case study on this page began with the same free report: what five AI engines answer when your buyers ask who to trust.
See where you stand →An honest note: these outcomes are what clients report from tracked work. We can't control what an AI model does, and we don't pretend to. What we do is make a business easier for AI to verify, trust and recommend. The results above are what happened next.
The Recommendation Check runs the same measurement these case studies started with: what five engines answer when your buyers ask who to trust. Free, about an hour to present, no obligation.
See where you stand →Every case study here started with that report.