Audience Discovery

Explore buyer hypotheses before live testing.

Compare your positioning with a relevant AI audience panel selected from 34 available personas. Review model-generated segments and objections, then validate them with real customers.

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No credit card required. 3 free discoveries included.

Discovery Results

Sample data — simulated persona panel

Audience assumptions are expensive to leave untested.

Burning cash on guesses

Early campaigns often test audience assumptions with live budget. Model-based exploration can help prioritize which assumptions to test first.

Research takes too long

Human research timelines and costs vary with recruitment, sample size, method, and scope.

Stated intent has limits

Stated preferences may differ from observed behavior. Use appropriately designed human research and live-market evidence for consequential decisions.

Turn audience questions into testable hypotheses.

AudiAInce® runs your positioning through 41 structured AI audience archetypes. Each generates a distinct model perspective on purchase intent and objections to help prioritize real-customer validation.

Compare modeled purchase-intent signals

Each AI persona provides a model-generated intent score and rationale. Use segment differences to prioritize live validation, not as proof of who will buy.

Purchase intent scored 1-10 per persona
Specific objections that block conversion
What messaging actually resonated

Targeting hypotheses you can export

Results can map to ad-platform parameters, but model-ranked segments should be validated before targeting or exclusion decisions.

Age, income, and life stage breakdowns
Platform-ready audience segments
Exclusion lists to cut wasted spend

Fix your messaging before launch

AI personas explain their model-generated reactions. Use recurring themes to draft copy hypotheses for customer or live-market testing.

Hooks and angles that actually land
Objections you need to overcome
Segment-specific messaging recommendations

Trust Signal

Testimonial or social proof

From zero to targeting in 15 minutes

Drop in your positioning

Paste your product description, landing page, or pitch deck. More context = sharper results.

Product input preview

We run the panel

Nineteen structured AI audience archetypes evaluate your offering independently.

We run the panel

Get segments to investigate

Review model-generated buyer profiles, anti-audiences, objections, and hypotheses for real-customer validation.

Recommended Targeting

Explore lower-priority audience hypotheses.

Model scores can surface segments that may respond differently to your offer. They do not prove that a person will or will not buy.

Use lower model scores to design careful live tests before changing exclusions or budget allocation.

Find Your Anti-Audience

Exclude These Segments

Built for teams that ship fast

On demand Model-based exploration

19 Structured AI audience archetypes

Directional Model-generated output

Turn guesses into audience tests.

Run your first audience discovery free, then validate the leading segment hypotheses with real customers or live campaigns.

Run Free Discovery See Pricing

Where this fits in your workflow

AudiAInce® guides you from audience discovery to campaign optimization. Here's the full picture.

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Step 1

Find Your Audience

Discover who resonates with your product

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Step 2

Run Surveys

Explore model-generated response patterns

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Step 3

Conduct Interviews

Generate qualitative questions and hypotheses

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Step 4

Test Ads

Screen creative hypotheses before live testing

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Step 5

Generate & Optimize

Create better ads from insights

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Step 6

Track Results

Close the loop with real data