AI systems · Method

Synthetic users

Also known as: Synthetic customers

What is Synthetic customers?

Synthetic users are AI-simulated personas used to generate and rank hypotheses about how real customers might react, before real-user testing confirms them.

Useful for breadth and speed, unreliable as evidence. Treat synthetic findings as a prioritized backlog for real experiments.

Related entities

Product experimentationProduct experimentation uses bounded tests and predefined evidence to reduce uncertainty about customer behavior, outcomes or technical feasibility.
AI evaluationsAI evaluations are repeatable tests of a model or agent workflow against defined tasks, acceptance criteria, and observable failure categories.
Content funnelA content funnel maps pieces of content to stages of a buyer's journey — discovery, trust, decision — and links each stage to the next with a specific call to action.
Agentic commerceAgentic commerce is shopping in which an AI agent discovers, compares and purchases on a person's behalf within limits the person has authorized.
Maker-checker reviewMaker-checker review is a control pattern in which one agent or person produces work and a separate one verifies it against a specification before it ships.

Field notes covering Synthetic customers

Synthetic Customers: Test the Funnel Before AI Traffic Finds ItBrowser agents can pressure-test a journey before launch. Here is where synthetic users find real friction — and where plausible simulations become expensive theater.

Search disciplinesSite structureAI systemsLocal searchDistribution & growthAgentic commerceHover to trace relationships · click to open