Explore Before You Launch
Before you invest months building and marketing, compare model-generated positioning, messaging, and audience hypotheses, then validate them with real customers.
Launch Readiness
Most Products Fail Before Launch
Teams can invest heavily before product, messaging, and audience assumptions have been validated with customers.
- 72% of new products fail to meet revenue expectations
- Months of development wasted on wrong positioning
- Marketing dollars burned on messages that don't connect
- Targeting the wrong segments from day one
- Competitors capture market while you iterate
Launch Failure Stats
Industry statistics dashboard
Launch Readiness
Know Before You Go
AudiAInce® compares product concepts, positioning, and messaging across structured AI audience archetypes to produce a directional launch-readiness score.
- Test your value proposition before building
- Compare positioning across AI archetypes, then validate with real segments
- Get message resonance scores by audience
- Identify your best-fit customer segments
- Understand competitive differentiation
- Receive a prioritized launch playbook
How It Works
From product concept to launch-ready in four steps
Describe Your Product
Share your product concept, value proposition, target market hypothesis, and any competitive context.
5 minSelect Target Audiences
Choose from 41 structured AI archetypes or let us suggest perspectives based on your product category.
2 minRun Comprehensive Analysis
We test positioning, messaging, audience fit, and competitive differentiation across all selected segments.
~20 minGet Your Launch Playbook
Receive detailed scores, segment recommendations, messaging guidance, and a prioritized action plan.
InstantWhat You Get
A complete launch readiness assessment
Launch Readiness Score
An overall score (0-100) based on positioning clarity, message resonance, audience fit, and competitive differentiation.
Positioning Analysis
See how clearly your value proposition communicates and whether it differentiates you from alternatives.
Message Testing
Test multiple headlines, taglines, and value props to find what resonates with each segment.
Audience Fit Map
Compare model-generated purchase-intent scores by segment; validate targeting and exclusion decisions with real customers and live evidence.
Competitive Context
Understand how you stack up against alternatives and where you have clear differentiation.
Launch Playbook
Get a prioritized action plan with specific recommendations for positioning, messaging, and targeting.
See What You'll Get
Real outputs from a product launch analysis
Positioning Analysis
Message Testing
Audience Fit
Launch Playbook
Who This Is For
Teams launching new products that want hypotheses to validate before committing spend
Product Teams
Validate positioning and messaging before development investment.
- New product launches
- Feature positioning
- Pivot validation
Founders
Get market validation without burning through runway.
- Pre-seed validation
- Pitch deck messaging
- PMF testing
Marketing Teams
Launch controlled campaigns to validate your messaging.
- Campaign messaging
- Brand positioning
- Market entry
Traditional Launch vs. AudiAInce®
Why spend months guessing when you can know in minutes?
Traditional Approach
Illustrative external workflow-
Timeline 3-6 months
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Cost $50K-$250K
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Iterations 1-2 per quarter
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Audience Coverage Limited sample
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Actionable Output Research report
-
Competitive Intel Separate project
With AudiAInce®
Directional AI planning aid-
Timeline 30 minutes
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Cost From $199
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Iterations Unlimited
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Audience Coverage Full demographic range
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Actionable Output Prioritized playbook
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Competitive Intel Included
Frequently Asked Questions
Structured AI Archetypes
Nineteen structured AI audience archetypes with defined demographic, behavioral, and psychographic attributes.
Full Transparency
Export methodology with reasoning chains - not a black box.
Directional Results
Model-generated hypotheses to validate with real customers and market evidence.
Ready to Turn Launch Questions Into Tests?
Explore your product concept before a larger investment, then validate the leading hypotheses with real customers.