Clarity
Do they understand what you do?
Strong4 of 4
4 could name what kind of product this is, unprompted.
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01
Your verdict
Relevance
Fix firstCan they tell what it solves, and who it's for?
Fail1 of 41 could quickly tell what problem it solves and who it is for.
Value
Do they actually want it?
Mixed3 of 43 would take a meeting to learn more.
Differentiation
Is there a reason to pick you over the alternatives?
Weak2 of 42 could name a reason to pick you over a similar option.
Four separate measures, not stages: all 4 personas answered all four questions. Each square is one persona.
Additional signalBrand alignment3 of 4MixedShow finding ▸
3 of 4 recognized the kind of company behind the page, in a tone written for them. Not one of the four layers, and it does not affect the scores above or the order to fix them in.
These are 4 simulated buyers. Want 4 real ones?
Test with humansThree sections locked
The scores are above. The reasons are behind your code.
Enter the six-digit code we emailed to unlock what to change layer by layer, what the personas said in their own words, and the adversarial read of where this copy fails.
- The specific edits to make, per layer
- Verbatim quotes traced back to who said them
- An adversarial pass arguing the copy fails
02
How this works
Who we simulated (4 personas)
4 AI-simulated personas matched to your target market. Each answered independently, without seeing your goal, the scoring criteria, or each other’s answers. Attribution is role, industry and company size only.
CMOeCommerce · 501-1000 employeesUS
VP MarketingIT Services · 51-200 employeesUK
Head of GrowthSaaS · 201-500 employeesEU
Director of ProductFinTech · 501-1000 employeesUS
Methodology
Every answer on this page was written by an AI model role-playing a buyer profile, scored on Wynter’s B2B Message Layers framework. The personas were sampled in code across role, industry, company size and behavioral traits; the model wrote only the answers. Scores arrive through fixed verdict categories and the counts are computed in our own code, so no number here was written by a model.
Score details: the count and the strength
The count is how many personas cleared the bar on each question. A yes can be unhesitating or come with reservations; the scorecard counts both as a yes, and this is the only place the difference is shown. Per layer:
- Clarity: 4 of 4, 1 without hesitation, 1 with reservations
- Relevance: 1 of 4, without hesitation
- Value: 3 of 4, 1 without hesitation, 2 with reservations
- Differentiation: 2 of 4, all with reservations
These answers are AI-simulated and directional. Validate anything you’re betting on with real buyers, your ICPs.
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See what real buyers say.
A detailed, section-by-section message test report from verified B2B professionals who are actually in-market for what you sell.
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RetentionThis report is kept for 60 days, until 18 Oct 2026, then deleted along with the personas, their answers and everything derived from them. The link stays live for that whole period so it can be shared or revisited, and stops working afterwards.
The email address it was requested from is kept beyond that, because it subscribes you to the newsletter — that was the price of the report. You can unsubscribe in one click from any issue, which stops the email without affecting a report still inside its 60 days. The public report page never shows the requester’s address.
The email address it was requested from is kept beyond that, because it subscribes you to the newsletter — that was the price of the report. You can unsubscribe in one click from any issue, which stops the email without affecting a report still inside its 60 days. The public report page never shows the requester’s address.