AI Visibility · External perception
When buyers ask AI about you, what does it say?
A growing share of your category's first impressions are now formed by a model, not a person. We read what it says, and fold it into the broader picture of how your organization is actually perceived and run.
The stakes
Why this matters to a board
Buyers increasingly ask ChatGPT, Claude, Gemini or Perplexity before they visit your website. That answer arrives before any salesperson, retailer or press release is involved.
An outdated controversy, well answered years ago in the press, can persist in AI answers, because the model weighs the accumulated record, not your latest statement.
Most brands know exactly where they rank on Google. Almost none know what an AI assistant tells a buyer who asks about them, their category, or their competitors.
How we position it
GEO is one of the signals we fold into our missions. We don't sell it as a standalone service.
A brand's external perception rarely tells the whole story on its own. We read it alongside internal systems, communications and interviews, because the most useful finding is usually where the two disagree: where the market's read on you has drifted from what leadership believes, or from what changed operationally months ago.
Our method
Map, compare, act
The read comes from our AI monitoring platform, run against your category and your named competitors, not from a single spot-check.
Map
We run a structured set of buyer-relevant prompts across the major AI answer engines, and record what each one says: the position taken, the sentiment, and the sources it cites.
Compare
We situate the brand against its named and unnamed competitors inside those same answers, so you see why AI recommends someone else instead.
Act, inside the mission
Findings feed the same operating picture we build from systems and interviews. External perception is one signal among several.
Illustrative
What this tends to surface
Examples of the kind of gap this work surfaces, not verified client results. No figures are implied.
Private banking and asset management
AI answers about fees and eligibility often lean on outdated public sources, well after the actual offering has changed.
P&C and health
A handful of old reviews or unresolved disputes can dominate how AI describes a carrier's claims and service experience.
Maison, after-sales service
Real operational improvement in after-sales care often takes far longer to show up in AI narratives than in the metrics themselves.