Message test · Example

Only 6 of 15 buyers would take a meeting to learn more.

https://example.org/15 AI-simulated buyers

Your message needs work: they know what it is and who it's for, but not why it's worth their time or why to pick you.

Simulated responsesNo humans answered these questions. Every quote below was written by an AI model role-playing a buyer profile.
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01

Your verdict

  • Clarity

    Do they understand what you do?

    Strong12 of 15

    12 could name what kind of product this is, unprompted.

  • Relevance

    Can they tell what it solves, and who it's for?

    Mixed9 of 15

    9 could quickly tell what problem it solves and who it is for.

  • Value

    Fix first

    Do they actually want it?

    Weak6 of 15

    6 would take a meeting to learn more.

  • Differentiation

    Is there a reason to pick you over the alternatives?

    Weak7 of 15

    7 could name a reason to pick you over a similar option.

Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.

Additional signalBrand alignment9 of 15MixedShow finding ▸

9 of 15 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 15 simulated buyers. Want 15 real ones?

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Three 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 (15 personas)

15 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.

CMOSaaS · 501-1000 employeesEU
VP MarketingFinTech · 51-200 employeesUS
Head of GrowtheCommerce · 201-500 employeesUK
Director of ProductIT Services · 501-1000 employeesEU
CMOSaaS · 51-200 employeesUS
VP MarketingFinTech · 201-500 employeesUK
Head of GrowtheCommerce · 501-1000 employeesEU
Director of ProductIT Services · 51-200 employeesUS
CMOSaaS · 201-500 employeesUK
VP MarketingFinTech · 501-1000 employeesEU
Head of GrowtheCommerce · 51-200 employeesUS
Director of ProductIT Services · 201-500 employeesUK
CMOSaaS · 501-1000 employeesEU
VP MarketingFinTech · 51-200 employeesUS
Head of GrowtheCommerce · 201-500 employeesUK
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: 12 of 15, 4 without hesitation, 2 with reservations
  • Relevance: 9 of 15, 6 without hesitation, 3 with reservations
  • Value: 6 of 15, 2 without hesitation, 4 with reservations
  • Differentiation: 7 of 15, 1 without hesitation, 6 with reservations

These answers are AI-simulated and directional. Validate anything you’re betting on with real buyers, your ICPs.

Your next 3 moves

Your three moves are behind the six-digit code. Enter it above to see them.

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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