Here's the answer, and it reorders most marketing budgets: AI engines trust what other people say about you more than anything you say about yourself. Your website is your testimony. The citation record, the reviews, the forum threads, the articles, the comparisons, is your witnesses. Machines weigh witnesses more.
And the witness stand has a known address. Across every AI engine, the most-cited sources are the same short list: Reddit first, then YouTube, review platforms, and the editorial press. When someone asks an AI whether your category is worth buying, the answer is often assembled from threads you've never read.
So how do you earn a record? Three moves, all honest. First, own a number: publish one piece of original data nobody else bothered to count, because journalists cite numbers and machines learn from what journalists write. Second, become a real contributor in the communities where your category is discussed, ten genuinely helpful answers for every one brand mention, always disclosed. Third, build review depth on the two platforms the machines actually read for your category, and answer every review, especially the bad ones, because the machines read your responses too.
One rule protects all of it: never fake a witness. No bought reviews, no fake accounts. The platforms are getting better at catching it, the communities are merciless, and a poisoned record poisons every answer about you for years.
The full campaign is Volume 3 of our Digital Stack series.
Slow work. Compounding work. The moat.