I pointed four AI visibility tools at my own site in one week. One said 0%. One said 41%. Same site, same week. The spread is not one broken tool. It is what happens when every vendor invents its own prompt set, its own competitor list, and its own definition of the metric.
Three different events get reported as a citation drop. Rotation happens daily and means nothing. Removal is close to permanent. The diagnostic that separates them takes twenty minutes.
An AI visibility audit answers the two questions the Three-Answer Test cannot: why ChatGPT, Perplexity, and Gemini get you wrong, and what to fix first. Across 50+ B2B audits, the break is almost always upstream of content.
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.
Maria Dykstra is an AI Visibility Architect who has diagnosed algorithmic authority failures for 50+ B2B companies. She built global ad systems at Microsoft that drove $2B in revenue across 1B+ ads per month. She ran TreDigital for 13 years across Fortune 500s and startups. She is embedded with agentic AI companies to translate their…
Most AI citation hacks win the screenshot and lose the model memory. Live retrieval can be rented. Parametric memory has to be earned. The fix sits upstream of any query strategy.
Learn which popular hacks will hurt your AI visibility even more and what you can do to actually move the needle on AI visibility.
The mechanism underneath is the most important reframe a founder can take into 2026. AI is a legibility engine. It can only recommend what it can resolve, classify, and retrieve with confidence. “Best” is invisible to it. “Clearest” is all it can see.
A founder can win the YouTube algorithm and still lose the AI citation layer. The channel grows for humans. The visibility for buyers stays flat.
Roughly 41% of YouTube videos cited by AI had fewer than 1,000 views at the time of citation. About 35% of cited channels had fewer than 10,000 subscribers. The median cited channel had under 41 videos total.
A channel with 2,000 subscribers routinely beats a channel with two million when the text architecture is better. AI does not read the recommendation signals YouTube reads. It reads the extractable text around the video.
AI search was annoying. Agentic search is brutal. At Google I/O, Google announced information agents in Search: AI agents that work in the background, 24/7, find what users need, and help them take action. You don’t just lose the click. You disappear from the entire selection layer. Read on what this means and what you can do
