Hero says 'AI-powered'
Before
Hero claimed 'AI-powered customer success.'
After
ICP read it as 'chatbot.' Hero rewritten to say what the AI actually does.
62% misread the value proposition.
Landing page check
The check before you ship the landing page.
Paste your URL or hero copy. 500 ICP SaaS buyers tell you what they think the product does, whether they'd sign up, what they'd pay, where they got confused, and what objection killed them. In 60 seconds.
No card. No signup. Three free checks in your first minute.
How the check runs
Four steps. 60 seconds end to end.
/ 01
Paste
URL or just your hero copy. Both work. 90 seconds of setup, max.
/ 02
Pick an audience
B2B SaaS SMB, mid-market, indie hackers, dev-tool buyers, or build a custom one.
/ 03
Run
500 ICP buyers respond in parallel. First reactions stream in within 15 seconds.
/ 04
Read the report
Verdict, sentiment, verbatims, top objection, recommendations. One artifact, 60 seconds.
What you get back
A real report, not a vibe check.
Verdict, sentiment distribution, verbatim quotes from 500 simulated ICP buyers, the most common objection, friction points, recommendations. One artifact you can paste into your team Slack and act on tomorrow.
Landing page check · sample
Run #04219 · 500 buyers
Positive
58%
Neutral
18%
Negative
24%
Top objection
“I don't see a price anywhere, feels like enterprise sales.”
full report
What founders catch
Three real examples of what the check found.
CTA labelled 'Get started'
Before
Generic 'Get started' button on a 14-day-trial page.
After
Changed to 'Start 14-day trial, no card.' Trial signups +28% in the next sprint.
ICP didn't realise it was a free trial.
Pricing too far down
Before
Pricing was four scrolls below the fold.
After
ICP bounced to find pricing on a competitor. Pricing summary added above the fold.
41% of buyers wanted price before features.
Common questions
Things SaaS founders ask before running a check.
Is this just GPT?+
No. Every check runs through nine independent corrections: a multi-model ensemble across multiple independent frontier model families, calibration against historical ground truth, revealed-preference weighting, and distribution-shape matching. One model wrapped in a persona prompt is one model's opinion. We give you 500.
How accurate is this?+
87% median accuracy across calibrated SaaS clusters, audited monthly. Every cluster is dated, sourced, and visible on the validation page. If a cluster drifts below 80%, we pause it automatically.
What audiences are available?+
Pre-built clusters for B2B SaaS buyers (SMB and mid-market), indie hackers, dev-tool buyers, marketing-led SaaS, sales-led SaaS, PLG users, agency owners, and API-first buyers. New clusters land monthly. See the audiences page for status and accuracy.
Does it work for B2C?+
Today the calibrated SaaS clusters are the focus. The same engine powers our enterprise customers' B2C work, see the enterprise page for that. If you're a SaaS founder targeting consumers, the indie-hacker and product-led clusters are the closest fit while we calibrate B2C-specific SaaS audiences.
Test your landing page free.
No card. No sales call. Three live reactions in your first minute.