Every metric on an executive dashboard measures something the company can already see. Search rankings, paid spend, social engagement, site traffic – all of it observable and all of it under some degree of control. Sebastian Pinzon Duran, Co-Founder of AIVO, says a channel now sits between brands and their customers that appears on none of those reports and increasingly decides the outcome before the rest of them get a turn.
“AI now answers the question before your website ever loads, and almost nobody is measuring what it says,” he says. Duran spent more than 15 years inside Publicis and WPP before building AIVO to measure how brands appear across ChatGPT, Perplexity, Gemini, Google AI Overview, and Claude. The problem he describes is not simply a gap in the reporting; it is a dashboard that can look entirely healthy while the brand is being left out of the answer that matters.
The Recommendation Nobody Requested a Report On
A buyer asks ChatGPT, or reads the AI summary sitting above the search results, and receives a single answer. That answer names certain brands and omits others, and the customer reads it as a recommendation, since that is exactly what it resembles.
The decision has effectively been shaped at that moment, well before any marketing gets its turn. What makes it difficult for leaders is that the interaction leaves no trace in the systems built to track influence. There is no line item, impression count, or attribution model that captures a brand being excluded from a list. The most consequential moment in the funnel has become the least visible one.
Ranking Well and Being Invisible Are Now Compatible
The deeper issue is that existing tools do not merely miss this channel. They can actively reassure an executive about a position the brand has already lost. Duran’s example is the one that should unsettle most marketing leaders: a brand can rank first in search and still be invisible, since the AI answer sits above the link and never cites the source.
Paid reporting carries a related blind spot, telling a company what it spent without revealing what the machine says when nobody is paying at all. The result is a measurement stack that looks complete and is not. “Most brands have a dashboard for every channel except the one that now sits between them and the customer,” Duran says. A leader reading strong numbers may be reading an accurate report on a diminishing share of the actual decision.
Putting a Number on It
The channel is invisible by default rather than by nature, and Duran’s method for measuring it is straightforward enough to start this week. Take the 10 questions buyers ask before choosing a vendor and run them across every major AI engine. Run each question more than once, since these systems are inconsistent and a single result tells you little about what customers are actually seeing. From there, three measures build the baseline: how often the brand appears, whether it is described as a leader, and whether the information surfacing is current.
That baseline turns an anxiety into a channel with a position, a target, and a path to improvement. The answers are being generated continuously regardless. Measuring them is what turns the blind spot into something a leader can manage like anything else on the dashboard.
Follow Sebastian Pinzon Duran on LinkedIn or visit AIVO for more on measuring AI visibility.
