Quick Answer AI visibility spend is working when it changes the answers buyers see, that change produces observable buyer or pipeline evidence, and the resulting gross profit exceeds the fully loaded cost. A higher dashboard score proves only that the dashboard moved. Visibility evidenceRanked. Mentioned. Cited. Recommended. Buyer evidenceReferral. Reported discovery. Qualified demand. Financial evidenceWon…
I ran nine AI visibility tools against my own site. Default scores ran from 0% to 88.7%. On the questions buyers actually ask, every tool that could separate them said 0% to 1%. What I expected, what they did, a star rating on five jobs, and why a manual check still matters.
The Three-Answer Test is a founder visibility measurement method: one buyer-intent question, asked on OpenAI’s ChatGPT, Perplexity, and Google’s Gemini, with the three answers compared against each other. It measures whether AI recommends you when a buyer has intent, instead of whether AI recognizes your name.
B2B buyers now build shortlists inside AI systems before they visit your site or book a call. Nobody on your existing team has structural authority over how machines resolve, classify, and retrieve you. That is the gap the AI Visibility Architect fills.
Share of Model replaces Share of Voice as the primary visibility metric in AI-mediated discovery. A company can have 40% Share of Voice and 0% Share of Model. SoM predicts whether you appear in AI-generated buying conversations. Share of Voice does not. Learn how to measure it.
