The AudiAInce® Method

The Decision Loop

Fast. Affordable. Directional.
Compare all three.

AudiAInce® provides rapid, model-based audience exploration to complement human research and live testing.

Start Free See How It Works

See the Decision Loop in Action

0:55 preview · full tour 2:30

Watch the full tour

The Research Dilemma

Research approaches involve tradeoffs.

Time, cost, depth, and evidence quality vary by method. AudiAInce® adds a rapid model-based exploration option.

Fast Often scheduled

Cheap Scope-dependent

Good Human-study evidence

Pick 2

Fast + Cheap = Lighter Evidence

Quick online surveys can provide fast input, with depth and representativeness depending on design and recruitment.

Fast + Good = Higher Study Cost

Human-panel cost varies with recruitment, sample size, method, and turnaround.

Cheap + Good = Longer Timelines

Recruiting, fieldwork, and analysis can require more time than a model-based exploration.

Use each method for the evidence it can provide.

Validate consequential decisions with customers and market outcomes.

The Breakthrough

Add rapid exploration to the research mix.

AudiAInce® uses 34 structured AI audience archetypes to generate directional responses for exploration before real-customer validation.

Traditional

The old way

Focus groups, panels, and surveys provide human evidence; timelines and costs vary by design.

Scheduled turnaround
Scope-dependent minimum
Observer effect
100-500 people panel type

*Quality depends on recruitment, design, execution, and analysis.

AudiAInce®

A complementary way

Structured AI audience archetypes generate model-based hypotheses on demand. They do not replace human-panel evidence.

On demand No respondent scheduling
From $49/mo Different research approach
Different bias profile AI limitations apply
Directional Validate with real customers

Directional

19 AI audience archetypes

Validate important findings with real customers and live-market evidence

minutes Delivered in

months traditional

41 AI audience archetypes

AudiAInce® compares model-generated responses across

Under The Hood

How model exploration works

Nineteen designed AI audience archetypes with defined demographic, behavioral, and psychographic attributes.

Structured Archetype Attributes

Foundation

Each persona combines structured demographic, behavioral, and psychographic attributes informed by public and licensed reference sources.

Model-Alignment Report

The 41-Persona Panel

Coverage

A curated panel covering the full spectrum of consumer demographics and psychographics. Each persona includes decision-making psychology, values, triggers, and platform preferences.

Meet your research panel

Run the Simulation

Execution

Choose a method and compare model-generated responses from a relevant AI audience panel selected from 34 available personas.

Model Diagnostics

Analysis

Review averages, Monte Carlo model-simulation ranges, and segment-level model responses. These diagnostics do not establish human-population significance.

Segment Performance

AI-Powered Improvement

Optimization

Use model feedback to generate candidate variants for human review. Compare their model scores, then validate selected candidates with live traffic.

Variant generation based on objection analysis
Preserve winning elements while fixing weak points
Re-test optimized variants instantly

Optimization Tournament

Live Result Comparison

Evolution

Where integrations are available, publish selected candidates, track real results, and compare them with earlier model estimates.

Brand Memory: Approved product and brand context can carry forward across supported model sessions.

Testing Dashboard

The Framework

The Decision Loop

Five steps for generating, documenting, and validating hypotheses.

Define

Products, Personas, KPIs

Measure

Test, Survey, Interview

Analyze

Decode, Segment, Understand

Improve

Optimize, Generate, Iterate

Control

Deploy, Track, Learn

The Difference

Why AudiAInce® works when others don't

Structured

Nineteen designed AI archetypes with defined demographic, behavioral, and psychographic attributes.

19 AI Audience Archetypes

Transparent

Full methodology export. Interview transcripts. Reasoning chains. Not a black box.

Review Available Methodology Detail

Directional

Model-generated output for hypothesis development. Validate important findings with real customers.

Model Evidence Type

Integrations

Test here. Launch everywhere.

Connect supported ad accounts, publish selected candidates, and track what actually happens.

Platform context can be included in a model comparison, but model-ranked results must be validated with live platform data.

See All Integrations

On demand Model Output Available

41 Structured AI Audience Archetypes

Directional Directional Evidence

Model-based Model Responses per Standard Panel

For Everyone

Built for every stage of growth

Founders & SMB

You can't afford to guess. But you also can't afford $50K panel studies.

Test ad copy before you spend
Validate offers and pricing
Develop audience hypotheses quickly
Start with a $49 one-time Quick Evaluation

Start Free

Growth Teams

Screen creative hypotheses with model-generated feedback, then validate selected candidates through live A/B testing.

High-velocity variant testing
Campaign pre-launch validation
Multi-platform optimization
API access for automation

See Plans

Enterprise & Agencies

Your stakeholders need defensible data. Your clients need proof.

Complete audit trails
Methodology export
Model-simulation ranges
SSO and role-based access

Talk to Sales

Platform

Explore the platform

Audience Discovery

Compare model-generated responses across 41 AI archetypes and develop audience hypotheses for live validation.

Ad Testing

Multi-model optimization to generate candidates for live testing.

Surveys

AI-generated questions with descriptive model summaries and model-internal diagnostics.

Interviews

Deep qualitative conversations. Explore the "why."

Analytics

Model-response breakdowns, theme extraction, and simulation diagnostics.

Integrations

One-click publishing to all major platforms.

FAQ

Your Questions, Answered

Is this just AI making stuff up?

AudiAInce® uses 19 designed AI audience archetypes with structured demographic, behavioral, and psychographic attributes. Responses remain model-generated and directional; validate important findings with real customers.

How accurate is this really?

No publishable human-panel accuracy metric is currently available. Model-simulation ranges describe variation inside the simulation, not certainty about real customer behavior.

When should I still use real humans?

For bet-the-company decisions - major rebrands, market entry, or regulatory-sensitive claims - validate with real panels. AudiAInce® is designed for exploration and pre-testing: comparing options and narrowing hypotheses before more expensive research. Think of us as the first conversation, not always the final word.

What makes this different from ChatGPT?

AudiAInce® compares responses across 19 designed audience archetypes with defined demographic, behavioral, and psychographic attributes instead of relying on a single generic perspective.

Read Full Methodology

Ready to close the loop?

Test your next campaign before you spend a dollar.
Free tier includes 5 simulations.

Start Free Talk to Sales

No credit card required