Artificial Societies

Artificial Societies is a web-based platform for running audience simulations before you ship a post, campaign, or idea. You describe a target audience (or connect a personal social graph), generate a "society" of AI personas, and run rapid experiments that return quantitative scores and qualitative feedback (comments and summaries). The system maps influence inside the audience network, auto-generates message variants in your tone, and compares outcomes to help you select a winner.

How it works

• Persona & society modeling: Personas are built from multi‑source data, then assembled into a network graph that captures relationships and influence patterns for the specified audience.
• Simulation engine: Each run executes hundreds of LLM calls to model how personas individually and collectively react to your input (e.g., LinkedIn post, email, ad concept, product message).
• Insights & comparison: Results include scores, comments, summaries, and auto A/B testing of generated variants. You can chat with “Amos,” their social intelligence layer, for interpretation and follow-ups.

Key use cases

• Social posts and content optimization
• Product and feature messaging checks
• PR, branding, and positioning experiments
• Journalism headlines and thumbnail testing

Plans

• Free: access to all features with 3 starting simulation credits.
• Pro: unlimited societies and unlimited simulation credits (monthly or annual billing).
• Enterprise: custom audiences/contexts, data & CRM integration, API access, and dedicated support.

Notes

• The company also offers Reach, a LinkedIn‑focused experience that visualizes and simulates your actual audience/network to forecast engagement and explore influence.