AI visibility is the discipline every marketer is told to care about, and most of the assumptions about it do not hold up. It is not SEO with a new coat of paint, and it is not unmeasurable. Believing either myth is how businesses disappear from the place customers now ask their questions.
AI visibility is not SEO with a new coat of paint. Treating it that way is how you disappear from the answer.
AI visibility has become the thing every marketer is told to care about, and most of what gets said about it is wrong. A round of experts pulling apart the biggest myths is a useful reset.
The core mistake, per a Digiday piece, is treating AI visibility like a rebadged version of SEO. It is not the same discipline. Ranking on a page of blue links and being the source an AI names in its answer are different games with different signals. Assuming your old SEO playbook carries over is how businesses end up invisible in the place customers now ask their questions.
The second myth is that AI visibility cannot be measured, so you may as well not try. That is the excuse people reach for when the work looks hard. You can track whether your brand gets cited, for which questions, and how often. It is measurable. It is just new.
Why it matters
When a discipline is new and noisy, the myths do more damage than the gaps. Believing AI visibility is just SEO means you optimise for the wrong thing. Believing it cannot be measured means you fly blind and guess. Both lead to the same place, spending effort you cannot account for on outcomes you cannot see. The businesses that win here will be the ones that measure it properly while everyone else argues about whether it counts.
Monthly Google AI Mode visits by May 2026, up from 126 million a year earlier (TechCrunch)
What to do about it
New disciplines attract confident nonsense. Cut through it the same way you cut through everything else. Measure it, and let the data settle the argument.