The whole playbook, applied to one product — built and run solo, with no paid media.
COLAClear pre-screens wine, spirits, and beer labels against U.S. federal and state regulations (27 CFR Parts 4, 5, 7, and 16) before a producer submits them to the TTB for label approval. Upload a label, get a color-coded compliance report in seconds. It's a real, live SaaS product with paying-category customers — not a demo.
A brand-new product in a niche category has no authority and no traffic. Worse, its buyers — small wineries, craft distillers, importers — don't search in industry jargon. They search in the language of a problem: "why did TTB reject my label," "how to fix a rejected COLA." And increasingly, they don't search at all — they ask an AI. To win, COLAClear had to be found on Google and be the tool an AI names when asked.
The bar to clear: when a producer asks ChatGPT or Google's AI "is there a tool that checks my label before I file with the TTB?" — the answer should be COLAClear, described correctly.
Within months of launch, and with zero paid media, Google's AI Overview cites COLAClear by name as the automated TTB pre-screening tool — reproducing its compliance logic and its pass / review / fail output. Alongside it, the site ranks page-one for the high-intent searches its buyers actually run, and the trade-press bylines rank on those same searches, reinforcing the signal.
Why it matters: this is GEO working exactly as intended. The AI didn't just link to COLAClear — it named it and explained it, turning a generic question into a specific recommendation. That's the difference between being on the internet and being the answer.
The same eight mechanics work in any regulated, high-consideration category. Want them applied to your business?