Most AI marketing tools claim "brand voice." Almost none of them measure it after the model finishes writing. Voice drift is the gap that opens between what the AI wrote and what your brand sounds like — here is how we score it, and the three assumptions baked into the metric.
Short captions can fake a voice. A thousand words cannot. Long-form is where generic AI falls apart — and where getting it right actually compounds. Here is how to write blog posts with AI that still sound like you.
Brand voice is not a tone-words list and it is not your visual identity. It is the recognition signal your audience builds over time — and in a world of identical AI models, it is the only thing left to compete on.
Most caption advice optimizes for the algorithm. The thing that actually compounds is sounding like one recognizable person — here is how to do that consistently.
The productivity-marketing space built a $3 billion industry around making content creation as complicated as possible. The bottleneck is not planning—it is execution.
Most brand guidelines are forty-page PDFs nobody reads. Brand voice is something else — and the difference is why most brands sound like nothing.
"Founder-led marketing" gets used as either a humblebrag or a cope. Both miss what makes it actually work — and why most companies wreck it the moment they can afford to hire someone.
Open five AI marketing tools, feed them the same brief, and you will get five variants of the same hedged paragraph. There is a structural reason for that, and it is not solved by another feature.
Marqeting exists because every other AI marketing tool sounded the same — polished, hedged, indistinguishable. Today we put our own product through the only test that matters: using it to write everything we publish.