---
title: "We Tested Synthetic Audiences Against Reality | Minds"
canonical_url: "https://getminds.ai/research/synthetic-audiences-reality-benchmark-2026"
last_updated: "2026-09-08T17:54:19.868Z"
meta:
  description: "What five public survey datasets reveal about synthetic audience accuracy, including a 301-Mind Gen Z production test, and where profile grounding helps."
  "og:description": "What five public survey datasets reveal about synthetic audience accuracy, including a 301-Mind Gen Z production test, and where profile grounding helps."
  "og:title": "We Tested Synthetic Audiences Against Reality | Minds"
  "twitter:description": "What five public survey datasets reveal about synthetic audience accuracy, including a 301-Mind Gen Z production test, and where profile grounding helps."
  "twitter:title": "We Tested Synthetic Audiences Against Reality | Minds"
---

Minds

August 14, 2026·Validation·Minds Team # **We Tested Synthetic Audiences Against Reality** What five public survey datasets reveal about synthetic audience accuracy, including a 301-Mind Gen Z production test, and where profile grounding helps. Synthetic research needs an external reference: answers from real people. Our original research suite compared synthetic answers with four public survey datasets and two qualitative benchmarks. A later Food and You production test added a practical check on the same question: how closely can an audience of persistent Minds reproduce a real survey's answer distributions? The results point to two different sources of value. Preserving uncertainty improves survey-distribution estimates. Participant profiles and relevant memories provide additional value when an answer depends on someone's experiences, reasons and values. Their benefits vary by task. ## Selected survey replications_### **Mean distribution error** Different questionnaires and cohorts; PISA is weighted. Lower error is better. Do not pool these results into one accuracy score._- GSS 2024**7.53**