The question for CEOs and COOs is no longer whether marketing influences revenue. It is whether marketing should be accountable for predicting it and for the capital decisions that prediction sets in motion.

Most CEOs know their marketing is underperforming. They can see it in the data: pipeline that doesn't close, brand investment that doesn't convert, campaigns that generate activity without revenue signal. What they rarely identify is the structural source of that underperformance.

The market for AI visibility and answer engine optimization tools has exploded. What the AEO/GEO tool market has built - at impressive speed and with considerable funding - is a sophisticated infrastructure for measuring the wrong things. 

The typical AI marketing pilot is designed to succeed on its own terms – and to fail at scale. A use case is selected for its measurability and low organizational risk: ad copy generation, email personalization, content summarization. Results are benchmarked against a control. The numbers are favorable. The pilot is declared a success. Then nothing changes.