Resources
Knowledge Base
Explore our guides and articles on artificial societies, audience simulation, and synthetic market research.
Core definitions
Methods
- Are AI personas biased? Representational fairness in synthetic research
- Generative agents explained: from Sugarscape to societies
- How accurate are AI personas? 2026 evaluation
- How to evaluate a synthetic research vendor: eight validity tests
- Why does opinion spread through networks?
- What is silicon sampling?
- How artificial societies are built: 3 stages explained
Comparisons
- AI focus groups compared: people and simulated audiences
- Can AI replace market research? Evidence explained
- Prebunking vs debunking: what the experiments show
- Synthetic vs traditional market research compared
- Synthetic respondents explained: digital twins, audiences and panels
- Synthetic research platforms compared, vendor by vendor
Use cases
- AI concept testing: five concepts to two
- Stakeholder mapping explained for communications teams
- Competitive positioning research explained
- Crisis communication simulation: 24 messages tested
- How to anticipate analyst questions before an earnings call
- Hard to reach audiences: research with AI personas explained
- Investor communications testing: the equity story explained
- Message testing and narrative testing explained
- Public affairs research: policy testing in 3 phases
- Stakeholder reaction simulation: pre-launch testing explained
- Corporate strategy announcement testing explained