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Audiences

The same question gets a different answer depending on who's asking.

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About Audiences

The same question gets a different answer depending on who's asking. Audiences runs your visibility through each buyer persona — a first-time shopper, a price-checker, a high-intent buyer — and shows exactly where AI names you and where it doesn't, audience by audience.

Audiences turns "how visible are we?" into "visible to whom?" — and points you at the personas worth fighting for. Fix the weakest transition for your highest-value buyer, and you move the answer where it actually pays.

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Example

AI might confidently recommend you to a buyer asking for a "premium" option — and never mention you to one asking for the "best value." Same business, same engines, opposite outcomes. Audiences shows you which buyers you're winning and which you're losing before it costs you the deal.

What we measure

01 · Visibility by persona
Who does AI send to you?
How you rank for each buyer type you serve — so you can see the audiences where you're the obvious answer and the ones where you're absent.
02 · Promptensity score
What are your odds with this buyer?
The conditional probability AI names you for a given audience and stage — a real "chance you're in the answer," not a vanity average.
03 · Journey stage
Where in the decision do you win?
How your standing shifts from early research to final choice, so you can see whether you're getting discovered but losing at the decision.
04 · Weakest transition
Where do you fall out of the answer?
The exact point where a buyer stops hearing your name — the biggest single leak in your visibility for that audience.
05 · Audience-by-audience gaps
Which buyers are you missing?
The personas where competitors are winning the answer you should own, ranked by how reachable that ground is.
06 · Per-engine differences
Does the answer change by model?
How each engine treats you for the same audience, so you know where the fix is broad and where it's engine-specific.

The goal is to be the answer for the buyers you most want to win — not just visible on average, but recommended to the people who actually become customers.

What your gaps mean

Each audience gap points to a specific move.

If AI recommends you to some buyers but not others
you likely need content and proof aimed at the specific personas you're missing — the angle that audience actually cares about.
If you're discovered early but disappear at the decision
you likely need stronger trust and differentiation for that buyer, so you survive the moment they narrow the list.
If one engine names you and another doesn't
you likely need to strengthen the sources that specific model leans on for that audience.

The goal is to be the answer for the buyers you most want to win — not just visible on average, but recommended to the people who actually become customers.

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