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SyntheticBuyers.ai
RESEARCH

Understanding how autonomous buyers experience the web.

Experiments, benchmarks and observations from deploying synthetic buyers across digital commerce experiences.

COMING SOON

The State of Synthetic Buying

An ongoing benchmark of how autonomous buyers navigate, evaluate and attempt to convert across ecommerce experiences.

Research Areas

04 TOPICS
psychology

Synthetic Buyer Behavior

How autonomous agents interpret and navigate digital commerce.

troubleshoot

Conversion Observability

Methods for detecting friction through synthetic journeys.

model_training

Agent Reliability

Understanding repeatability, reasoning and recovery behavior.

bar_chart

Ecommerce Benchmarks

Comparing customer experience patterns across websites and industries.

Latest Notes

PUBLICATIONS
COMING SOON north_east

What makes a synthetic journey reliable?

COMING SOON north_east

Goal-based agents vs scripted browser automation.

COMING SOON north_east

Measuring friction without waiting for customers.

COMING SOON north_east

Can AI buyers predict customer experience problems?

Open methodology.

Synthetic testing becomes useful when its behavior can be inspected, repeated and challenged.

Methodology principles
ILLUSTRATIVE RECORD EXAMPLE
Website
demo-store.example
Buyer profile
First-time buyer / Desktop / Example
Objective
Find a suitable product and attempt to purchase
Run count
Single illustrative journey
Environment
Real-browser journey environment
Outcome
Example outcome: FRICTION DETECTED
Evidence
description Example evidence trace

Interested in running a research experiment with us?