◉ Message testing · minutes, not weeks

Know what resonates before you launch.

Paste a message. See how three AI buyer personas read it. Get a verdict in under a minute — comprehension, resonance, differentiation, scored and quoted.

free forever · 5 tests/mo · no card
◉ Sample · paste your own
Demo · scoring only · sign up to see persona reactions
Paste a message
Sample run · no save.

Three steps. Under a minute. No survey panels, no recruiters, no calls.

Step 01

Paste your message

Hero copy. Email subject. Ad. Pitch deck slide. The shorter, the sharper the read.

The first AI-native CDP for revenue teams.
Step 02

A panel reacts

Three AI personas — your ICP, calibrated. Each reads it cold and responds in their voice.

S"Skeptical. What's CDP-native mean?"
M"I'd ask my data team first."
P"Sounds like Hightouch + AI."
Step 03

Read the verdict

Three scores. One headline. The exact quote that revealed the gap. Rewrite. Re-run.

Clear message. Weak diff.
4.0
3.1
1.7

Most messages don't pass or fail. They land partially.

Two-tier "good/bad" hides where the signal actually breaks down. Wavelength reports three tiers across three dimensions — so you rewrite the part that missed, not the whole thing.

S
Sarah Chen
VP Marketing · Series-C SaaS

"OK, I get it — it's a CDP, it's AI-native. I'd take a meeting. Lead with the chargeback screenshot, not the value prop."

◉ In range
M
Marcus Patel
Director, RevOps · Mid-market

"Sounds like Census or Hightouch with a wrapper. What does 'AI-native' actually do that I can't get from a SQL transform?"

◉ Partial signal
P
Priya Okafor
Head of Data · Enterprise

"Revenue teams don't own the CDP. This is for marketing ops, and they already have one. Wrong audience."

◉ Off frequency
◉ One test · three dimensions
"The first AI-native CDP for revenue teams."
Comprehension
4.2
◉ In range
All 3 personas got the category in one read.
Resonance
3.1
◉ Partial signal
Sarah leaned in. Marcus shrugged. Priya pushed back.
Differentiation
1.7
◉ Off frequency
Read as Hightouch / Census + AI. No moat.
◉ Tuning notes

Lead with the QBR pain, not the category. Drop "AI-native" — three personas read it as commodity. Test the chargeback screenshot angle next.

Diagnose. Rewrite. Re-run.

◉ V1 · Partial signal
"The first AI-native CDP for revenue teams."
4.0
3.1
1.7
GapReads like Census + AI. No moat in the headline.
◉ V3 · In range
"Stop reconciling spreadsheets the night before QBR."
4.4
4.3
4.0
WinSpecific pain. Concrete moment. All three personas leaned in.

Surveys take six weeks. Focus groups cost $40k. Gut-feel is gut-feel.

Survey panel
Focus group
Gut-feel
◉ Wavelength
Time to verdict
4–6 weeks
2–3 weeks
0
47 sec
Cost per test
$8–15k
$30–50k
$0
$0–free tier
Real quotes
Re-runnable on a rewrite
Calibrated to your ICP
depends
depends
Replaces buyer research
✗ (de-risks the first draft)

We're not replacing buyer research. We're making the cost of a bad first draft zero.

"I used to write three hero variants and have my team vote. Now I run them through Wavelength before the team vote. Two of three meetings got shorter."

Devin Aaronson
Head of Product Marketing · Series-B SaaS

Start free. Pay when you outgrow it.

◉ Free
$0 / forever
 
5 tests / month
  • Test Mode
  • 3 default panels
  • 1 custom persona
  • Markdown export
◉ Team
$349 / month
annual: ~$279/mo
400 credits / month
  • Test Mode
  • Direction Mode (advisory consults)
  • Unlimited persona sets
  • Workspaces
  • Team sharing
  • White-label exports
◉ Enterprise
Custom
 
Volume credits
  • Test Mode
  • Direction Mode (advisory consults)
  • Unlimited + custom onboarding
  • SLA
Test = 1 credit · Direction Mode = 2 credits · Document upload adds 1 credit

The objections we hear.

Are LLM personas actually predictive of real buyers?

Not perfectly. They're calibrated against transcripts of real buyer interviews and they're directionally right about 70% of the time on comprehension and resonance, lower on specific differentiation claims. Use them like a wind tunnel — fast feedback on the obvious failures, not a replacement for talking to humans.

How do I customize personas for my actual ICP?

Paste your ICP definition, a transcript or two, or a job description. The persona generator builds a panel against that. Edit any field — title, seniority, objections, jobs-to-be-done. Save the panel, re-run any message against it later.

What happens to messages I paste in?

Your tests are stored against your account only. We don't share or sell test content, and we don't train models on it. Encrypted in transit and at rest. Delete any test at any time.

What does this replace?

Nothing — that's the point. It sits before user interviews, not instead of them. The job it actually replaces is the "team vote on three hero options" meeting. That meeting was always vibes; now it's vibes plus three calibrated reads.

What's free actually mean?

Five tests a month. Three default panels. One custom persona. No credit card, no trial timer. We'll know the model is working when you outgrow the free tier — until then, it's free.

What model does it run on?

Claude Sonnet 4.6 by default. You can switch panels to GPT-4o or Gemini 2.5 Pro on the Team plan. We publish each verdict's model + version in the metadata so the test is reproducible.

Test your next message.
Before you launch it.

free forever · no card · no time limit