Unified Consumer Simulation Engine

Run your strategy in code
before you spend on media.

One simulation engine for GEO diagnostics, MOT strategy, creative & concept testing, and audience research—so decisions are backed by evidence, not guesswork.

AI Visibility (GEO)
Decision Triggers (MOT)
Creative / Concept / Audience
Start Simulating

Credible by design

Grounded in real-world data, behavioral science, and validation loops.

Massive Real-User Data Training

Trained on millions of real consumer behavior data points to ensure the model understands authentic user thinking patterns.

Multi-Validation Process

Continuous optimization through rigorous comparison with actual consumer research results to enhance model precision.

Expert Theoretical Foundation

Integrates consumer psychology and behavioral economics to ensure simulations align with human decision-making laws.

A new research baseline

From small-sample, manual studies to scalable simulations you can iterate daily.

Traditional Approach

Relies on face-to-face interviews, focus groups, and field surveys. While effective, these methods are often slow, expensive, and limited by sample size and human bias.

Consumer Agents

AI simulates real user behavior based on massive datasets. It provides faster, comprehensive insights across infinite scenarios, free from social desirability bias.

Data Collection
Time-consuming & Expensive
Massive, High-efficiency Generation
Sample Size
Small samples, low statistical significance
Scalable samples, high reliability
Analysis Bias
Manual coding prone to human error
Automated analysis, reduced bias
Behavior Granularity
Hard to capture subtle changes
Quantifies subtle behavior patterns

From "Static Labels" to "Dynamic Souls"

Three-Dimensional Data Fusion creating comprehensive human cognitive models.

Cross-Platform Base Profile

Full-scale data from E-commerce, social media, and 1st-party CDP.

Explicit Layer: Preferences like "SUV under $50k"

AI Deep Interviews (Profile+)

6,000-word deep-dive transcripts to uncover hidden logic and values.

Implicit Layer: Decision rules and BFI Big Five traits

Contextual Sensing

Real-time calibration based on platform algorithm trends and "disinterest" feedback.

Emotional Layer: Narrative analysis of memories

Rigorous Validation

Research & Evidence Academic Backing

Our simulation accuracy is backed by peer-reviewed research and benchmarked against real-world datasets.

Parallel Research Comparison

Real Users vs. AI Consumers

91% Average Consistency

Conducting simultaneous research on identical topics reveals that AI consumer insights align with real user conclusions 91% of the time, providing a reliable proxy for human decision-making.

Blind Test Assessment

Expert Discernment Test

58%(Near Random)

Professional researchers are unable to reliably distinguish between feedback from real users and AI consumers. A 58% identification rate indicates the simulation is virtually indistinguishable from reality.

Academic Foundation

Featured Paper

Generative Agent Simulations of 1,000 People

Park, J.S. et al.arXiv:2411.10109

Generative agent simulations replicate participants' responses on the General Social Survey 85% as accurately as participants replicate their own answers.

85%
Accuracy
Normalized Replication
r=0.80
Correlation
vs Human Re-test
Reduced
Bias
vs Demographics
Key Findings
  • Replicates individual attitudes with 85% normalized accuracy matching human self-consistency.
  • Achieves 0.80 normalized correlation on Big Five personality traits.
  • Interview-based agents significantly outperform demographic-based baselines.
Read Full Paper

Five scenarios.
One simulation engine.

Pick a workflow to diagnose, optimize, validate, or predict—then get a report you can act on.

GEO Diagnostic

Generative Engine Optimization

Deep dive into market needs, behaviors, and opportunity gaps.

MOT Strategy

Moment of Truth

Identify and optimize critical Moments of Truth using Peak-End Rule.

Creative Testing

Pre-launch Optimization

Feedback on messaging and creative assets before full launch.

Concept Testing

Concept Validation

Validate early ideas or prototypes before full development.

Swarm Research

Audience Simulation

Understanding of brand perception, trust, associations, and emotional impact.

Mainland_Core_Engine_v2.4.0
System Active
GEO Diagnostic Protocol Active

Monitor brand visibility and mention rates across generative AI platforms like ChatGPT and DeepSeek.

Key Features

Track high-frequency keywords, source preferences, and automated optimization recommendations.

Key Metric

85%

Brand Mention Rate

Strategic Value

Ensure your brand remains visible, trustworthy, and recommended during AI-driven discovery.

Unified Soul Engine

90% core module reuse rate. The more you use the platform, the more efficient it becomes.

Teams ship with confidence

How marketers and researchers use Mainland to decide faster—with less risk.

"Mainland's Context Awareness feature completely transformed how we understand our customers. The digital twins actually evolve with real-time trends - it's like having a living focus group."
SC
Sarah Chen
VP of Marketing at TechFlow Inc
"The 90% accuracy claim isn't just marketing speak - we validated it against our existing customer research. The RoleSim technology delivers insights our traditional methods missed."
MR
Marcus Rodriguez
Head of Consumer Insights at GlobalBrand Co
"What sets Mainland apart is the depth. While other tools give surface-level personas, their Expert Agent interviews revealed psychological drivers that transformed our product strategy."
EW
Emily Watson
Director of Strategy at InnovateX

See your next decision before it happens

Tell us your scenario. We’ll show the workflow and a sample report for your brand.