See the reaction before you commit
You are about to announce something: a price, a rollout, a change. Describe it here, and watch AI personas from your market argue about it over many rounds, before a single real person reads it.
You find out how it lands after you have sent it
The objection that stops a rollout rarely arrives in the planning meeting. It arrives three weeks later, from a department nobody invited.
And it does not stay a company problem. Whoever pushed the thing forward owns the silence in the room afterwards.
What it costs not to know
We ran the same AI rollout twice. The only difference was one paragraph: on day 21, leadership announces a dashboard that scores each rep on the quality of their own voice notes. One paragraph. In the second run:
- the works council appears three times as often
- drug safety speaks up almost three times as much
- the report grows a chapter on risk and compliance that did not exist before
Nobody would have tested that sentence. It would have sat in a slide deck, someone would have read it out, and three weeks later people would wonder why the documentation got worse instead of better.
I have sat on the other side of this table
Ten years in pharma sales, marketing and medical affairs. I have watched good tools die in week three, not because they were bad, but because nobody asked the works council first.
I showed this at the Pharma Commercial & SFE Summit in Budapest. Here are the 77 seconds in which the whole thing is explained, with a real run on screen.
Three steps
- 1. Describe the situation
Your scenario in plain language, or upload the document you are about to send. Who should react, in which market, what do you want to learn. - 2. The simulation runs
The system builds personas from your document and lets them discuss it over a set number of rounds. They read each other, answer and change their minds. - 3. You read the report
Reaction per segment with verbatim quotes, the three strongest objections, the sentence that triggered the most, and what we would change before sending.
What comes out of it
This is from a real run, our own case: a company licence for an AI academy, 10 rounds, 17 personas. Two of the objections the simulation raised:
From a procurement perspective, the new company licence offer seems like an interesting option, but we need to compare it with other training providers to ensure we get the best value for our money.
Procurement, resonance 4 of 5, open
The introduction of a company licence raises important questions about data protection and compliance with the EU AI Act. How will the academy address these concerns?
IT, resonance 5 of 5, convinced, and the objection that can block the deal
Neither of those was on the slide. Both are now answered before the first real customer asks.
Ten questions a simulation answers
Pick the one closest to your decision. You describe the audience in the briefing.
use_cases.launch.text
use_cases.sales-message.text
use_cases.competitor.text
use_cases.pricing.text
use_cases.campaign.text
use_cases.study-data.text
use_cases.crisis.text
use_cases.regulatory.text
use_cases.market-entry.text
use_cases.internal-change.text
Test it for free with your own scenario
One short simulation on your own scenario, the full report by e-mail, no payment details. Business addresses only, one test per company.
One free test per company. Full simulations are paid per run. See packages and prices.
AI-generated simulation: Results are AI-generated simulations of possible market reactions. They are not market research, not a forecast and no guarantee. Decisions remain yours.
See a real report first
Get the sample report of a fictional diagnostics launch plus the checklist of ten questions a simulation must answer.