When a high-value prospect wants to know who the best firms are in your category, they don't open Google anymore. They ask ChatGPT. They query Perplexity. They check Google AI Overviews. And they act on what comes back.
Most leadership teams find that conversation clarifying. A few find it urgent.
See Your AI Visibility Score — 20 MinutesEvery company exists in the AI layer to some degree. The platforms have scraped the internet. They know names, basic descriptions, domain histories. That is not the issue.
The issue is what happens when a prospect asks an unprompted question — who are the most reputable private jet operators in the Northeast, which wealth managers in Austin specialize in family offices, what concierge medicine practices in Scottsdale are worth calling. Nobody typed your name. The AI decides on its own who to recommend.
That decision is being made right now, for your category, on all four major platforms. You have no input into it. And it may not be going the way you expect.
The distinction that matters: the AI knowing your domain and the AI knowing your company are not the same thing. And the same company can appear as a clear authority on one platform and be absent on another. One query returns accurate, specific information. A different query returns outdated data, vague language, or a competitor's name. You have no control over which version a prospect sees.
These walls don't appear in a Google Analytics report. They don't show up in your SEO dashboard. They exist in the AI layer — and they're costing you prospects who never reach your website at all.
For one leading aviation firm, world-class safety certifications and fleet maintenance standards existed only inside static PDFs. When a prospect asked which private jet firm has the highest safety rating for transatlantic flights, this company was skipped entirely. Their proof existed. It was locked in a vault the AI couldn't open.
For one high-end service provider, the AI was confusing the parent brand with five outdated sub-brands that hadn't been active in years. Without a single dominant source of truth, the AI lost confidence in the company's data entirely — and chose a competitor with unified digital architecture instead.
A luxury brand appeared for general category queries but disappeared completely for specific, high-intent questions. A competitor who provided clear, declarative, factual answers won the citation share — not because they were better, but because they were easier for the AI to use as a source.
I use an enterprise AI visibility platform to run over 100 high-intent queries across ChatGPT, Claude, Perplexity, and Gemini — the questions your prospects are actually asking, without your name in them. Three signals are tracked for every response: mention frequency, impression share, and position.
The result is your AI Visibility Score — a 0 to 100 index showing exactly where you stand, how you compare to competitors, and how your score changes over time as the work takes effect. I also map your citation landscape: the specific domains and URLs the AI uses to construct answers in your category, and exactly where you are missing from that chain of information.
This is not a manual scan. It is systematic measurement of your AI presence — with a before-and-after Delta Report at the conclusion of every engagement that proves what changed and why.
I work with companies in the $10M to $150M range where high-value prospects do significant research before making contact — and where being absent from or misrepresented in AI-generated answers is a direct revenue leak, whether or not it's currently visible on any dashboard.
If your prospects are the kind of people who do serious research before they call — and if one right relationship is worth six figures or more — then what AI says about you at the moment of that research is a commercial question, not a marketing question.
I've spent 25 years at the intersection of commercial credibility and high-trust sales — private aviation, luxury travel, yachting, private residence clubs, wealth management, and the firms and brands that serve affluent clients.
I know how high-value prospects research, evaluate, and select providers in these categories. I know what a referral source looks for before they put their name behind an introduction. And I know what it costs a firm — quietly, invisibly — to be absent from the AI answers that now drive the first step of that research.
The firms building their Share of Model now will own the category recommendation for years. The window to establish that position before it becomes table stakes is open. It will not be open indefinitely.
In 20 minutes I can show you what AI systems are currently returning for the queries your prospects are running right now — how often you appear, where you rank relative to competitors, and what the AI is actually saying about your firm at the moment of highest prospect intent.
Most leadership teams find that conversation clarifying. A few find it urgent. Start the Conversation