Transparency & measurement
You see what it delivers. Every number sourced, dated and defined, verifiable yourself in your own Google Search Console.
The code calculates. The model interprets.
Every number comes from code: calculations on your own search data, not from a language model. The model interprets and phrases what the calculation shows, afterward. Never the other way around. That way, no number can ever be made up.
What we measure, and when
Our contribution, marked separately
In your dashboard you see all the content on your site, and you can filter out our articles separately. That way you see exactly what our contribution is, and you verify our impact instead of taking our word for it.
Honestly labeled
A measurement is called a measurement, a sample is called a sample, and a schematic view gets the label "no measurement data." Every chart states its source and period.
Never a false zero. If a measurement fails, we show a gap, not a zero. A zero is information ("no visitors"); a gap is honesty ("not measured"). We guard that distinction everywhere.
AI visibility in two layers. Are you mentioned, and are you used as a source? Two different things, so two separate labels in your dashboard.
No promised rankings
Nobody can guarantee Google rankings, and neither can we. Anyone who promises that is selling a gamble. What we do instead: back every choice with evidence, measure everything, and adjust based on what works.
The monthly consult
Every month your dedicated contact reviews it with you: what the measurement shows, what opportunities exist, and what we'll do in the period ahead. Bigger course changes only happen after your approval.
And every improvement we make gets a verdict after thirty days: helped, neutral or worse. That verdict is visible in your dashboard and shapes the next round.