Someone else is deciding what customers learn about your brand.
AI found you years ago. But every time a customer asks about brands in your category, it decides again — top, middle, or not at all. You can't see the decision or what it was based on.
Try it now. "What are the best [your subcategory] for [your target audience]?"
Then ask: What sources did you use?
We measure those answers, investigate the sources behind them, and show you the evidence your brand's position rests on.
If you don't like what you see, let's talk.
For AI, your brand isn't just your website or the amount of content you produce. It's what can be established from public sources.
Most of that proof already exists, acquired over years and forgotten because marketing moved on.
3 Possible Scenarios. Which Brand Are You?
The Category Reference
Ask AI about your category, and you're usually at or near the top. You're not sure why. The catch: you also can't see if the competition is gaining in AI's responses, so you don't defend your position.
The Challenger
Prompt AI about your category and your brand isn't recommended or is described as "also worth a look." Recognition isn't the problem. The evidence probably is.
The “We’re Good”
Nobody in the company owns this. Sure, search traffic is down, but Marketing is on that, so it feels handled. It isn't. The customer you need is using AI to learn about your category right now, and they are probably finding your competitors.
This isn't optimization or monitoring. It’s measurement.
SEO and GEO can optimize what you publish and influence what gets surfaced. But much of the evidence AI systems use predates those efforts and exists outside your control.
Tools will report the sources AI says it used. We trace those findings back to their sources and examine the evidence behind them.
Even when AI lists a source, often the page doesn't actually say what AI says it does.
There's now a standard for this work.
In August 2026, the Interactive Advertising Bureau (IAB) published the first standardized set of measurement guidelines for AI visibility. It draws an important line between data that's good enough to spot a trend and data that's good enough to spend against.
We built our method before that framework existed, around the same principle: a number you can act on needs to be supported by evidence you can examine.
How We Help
AI Brand Visibility Audit = Outcome
Timeline: 4-6 Weeks
How AI describes you today and where you stand against your competitors — across ChatGPT, Claude, Gemini, and Google AI Overviews, multiple times. We don't just report the sources AI lists. We examine the evidence behind the findings, because the sources cited often don't support what AI says about the brand.
We don't treat one AI answer as the truth. We run the same questions multiple times and look for patterns.
We don't blindly accept the sources AI reports. We investigate the evidence behind those answers.
Brand Ground Truth = The Underlying Evidence
Timeline: 4-6 Weeks
Every claim your brand makes, mapped against what can be established in public sources: registers, accreditors, trade bodies, parent brands. We find it and anchor it. Where the proof is wrong, stale, or missing, you see the evidence gaps and the sources that need attention.
Quarterly Audit = Measurement Over Time
Timeline: Ongoing
Sources change, models change, competition changes, and your business changes. Each quarter we re-run the audit to measure and report how these changes are impacting AI’s synthesized portrait of the brand .
Bios
We don't help brands adopt AI tools. We measure the gap between the position a brand has built and how AI represents it, identify the evidence behind that representation, and track whether the gap changes.
Michael Quinn developed our method and tools, and he runs the audits. He has 20+ years of experience building agencies for luxury, hospitality, and tech brands in New York, San Francisco, Paris, and Hong Kong. Member, International Association for Safe & Ethical AI.
Betsy Pearce has spent 20 years advising top executives and creative leaders across fashion, luxury, and beauty in Europe and the United States. She leads client relationships.
Both live in Paris and New York City