AI visibility for growth teams
When someone in your metro asks an AI assistant where to bank, the answer names two or three institutions. If yours is not one of them, that deposit or loan application starts at a competitor. Scanley measures which questions you win, which you are missing from, and who is taking them, then tracks the share as fixes ship.
Recommended versus merely named, per question, per engine, with run counts. A number your CFO can repeat without hedging.
Every question carries real monthly search volume, so effort goes where buyers actually ask.
Your baseline is locked in, and every later scan measures against it. When a fix ships, the climb shows in the trend, not in a vendor's slide.
The competitors quoted made their rates quotable. That is the whole game, and it is winnable.
Is this SEO?
It is the successor question. SEO asked where you rank in ten blue links; this asks whether the one written answer names you at all. The disciplines overlap on fundamentals (crawlable facts, entity records, source coverage) but the scoreboard is different, and we measure the new scoreboard directly.
What does the free scan commit us to?
Nothing. You get the measured report and a walkthrough if you want one. The audit and the ongoing program are separate decisions with their own numbers in front of them.