Persona Simulations
Your market, asked before your market asks.
What is Persona Simulations?
Persona Simulations put your category to the answer engines the way real buyers do: panels of synthesised personas, named and unnamed, informed and naive, run across the major models. It is the same methodology behind the Prompted series on The Canonical, run privately on your brand and your questions.
What problem does Persona Simulations solve?
You know what buyers ask your sales team. You do not know what they asked an AI five minutes earlier, or whose name came back. By the time that answer reaches you through revenue, the pattern is a quarter old.
What’s included in Persona Simulations?
Persona panel
Synthesised buyer profiles built from real intent: informed and naive, loyal and sceptical, brand-aware and category-only.
Prompt matrix
The questions each persona actually asks, split between named and unnamed intent.
Cross-model run
Every prompt across the major models, captured and scored.
Win, loss and absence map
Which questions you win, which a competitor owns, and where nobody names you at all.
Competitor read
Who wins the questions you lose, and what they are cited for.
The briefing
The findings argued in person, with the moves ranked.
How does Persona Simulations work?
- 01
We build personas from how your buyers, critics and category actually ask.
- 02
Each persona gets its own prompt set: named, unnamed, informed, naive.
- 03
The full matrix runs across the major models and every answer is captured.
- 04
Answers are scored: named, missing, or misattributed, question by question.
- 05
You get the map and the briefing: where you win, lose, and are absent.
A question-by-question map of your market as the machines present it, before a real buyer finds the gaps for you.