Why not just measure results?
Because results arrive last, and by then the expensive decisions have been made. A campaign has already run against its landing page. An article has already been published against its target query. Measuring only outcomes means discovering, every quarter, mistakes that were visible in advance.
Why does readiness come first?
A page that isn’t fit to compete can’t be rescued by visibility work. Being found just sends visitors to whatever the page is, broken promise, slow load, missing proof and all. Readiness is the cheapest of the four to fix, because it’s the only one you can fix before spending anything.
Why is “found” no longer the finish line?
For years a first-page position was the goal because it reliably produced a visit. For a growing share of searches it no longer does: an AI answer sits above the results, and many people stop there. Being found is now a precondition for being used, not a substitute for it.
And why does “effective” close the loop?
Because every earlier question can be answered well while the business sees nothing. Visibility has to be tied to movement: visitors who went further, steps climbed on the awareness ladder, pages that went on to produce something. Without that, the programme is reporting activity, not effect.
Asked in order, the four questions turn search from a report into a sequence of decisions. That’s the whole idea behind AI Marketing Radar.