AI-simulated

Find out where your message loses buyers. Free, in four minutes.

Fifteen AI-simulated B2B buyers read your page and answer the four questions from Wynter’s Message Layers framework. You get the weakest of the four, and the specific edits that fix it.

No account. No card. You’ll get our weekly B2B messaging newsletter — that’s the price.

The four layers

Your message has four jobs. They only work in order.

They don’t care about your value until they get what it is. Miss an early layer and everything after it is wasted.

1

Clarity

Do they understand what you do?

The gate. If a buyer can’t name your category after reading the page, nothing further matters.

2

Relevance

Do they think it’s for them?

Buyers rule you out fast. This finds the ones who understood you but saw someone else’s product.

3

Value

Do they actually want it?

Comprehension isn’t desire. This separates “I get it” from “I want it”.

4

Differentiation

Can they tell you apart?

Usually the weakest of the four. Most pages never give a buyer a reason to pick them.

How it works

Paste a URL. Get a fix list.

01

Paste your URL

Homepage, landing page, or pricing page.

02

Describe your buyer

Role, industry, company size, region.

03

Watch it run

Fifteen simulated buyers, about four minutes.

04

Get the fix list

Specific edits per layer, not a score to admire.

What this is, and isn’t

This is the cheap version. That’s the point.

The methodology is real — trait-sampled personas, enforced viewpoint diversity, respondents who never see your hypothesis. It will find a vague headline and an undifferentiated value proposition reliably, and it costs you nothing.

What it cannot have is a real budget, a renewal coming up, or a boss asking about this quarter. For anything you’re actually betting on, test with humans who are in-market.

The real thing

Wynter runs the same four layers past 80,000+ verified B2B professionals in your exact target market, in under 48 hours.

See Wynter
Phase 0 · scaffold

The engine isn’t wired up yet.

Nothing here calls a model. The setup wizard and live run land in Phase 1 — this build exists so the design, the schema and the report can be judged first. Below is a seeded example with real data read from Postgres. 8 reports stored.