AI persona networks
Builds interconnected AI personas that replicate real-world attitudes, beliefs, and opinions so teams can test audience response before making decisions.
Artificial Societies simulates stakeholder opinions and audience reactions with networks of AI personas. It is positioned for strategic communications and enterprise marketing teams that need fast feedback on sensitive decisions.
Artificial Societies is a platform for simulating stakeholder opinion and audience reaction with networks of AI personas. The site positions it for strategic communications and enterprise marketing teams that need fast feedback on sensitive or high-stakes decisions.
The product creates purpose-built artificial societies of hundreds to thousands of interconnected personas, grounded in real-world behavior and language. It is used to run surveys and experiments, then return results as written analysis and an interactive platform for exploring approval, sentiment, and verbatim responses.
Builds interconnected AI personas that replicate real-world attitudes, beliefs, and opinions so teams can test audience response before making decisions.
Supports simulations sized from 300 to over 5,000 personas, with the site also citing a broader base of 2.5 million personas grounded in what real people say and do.
Runs surveys and experiments across multiple societies to compare reactions to competing narratives, as shown in the Teneo case study.
Surfaces both aggregate and individual persona-level insights, including approval ratings, emotions analysis, and persona comments.
Delivers results through a written report and an interactive enterprise platform for exploring scores, sentiment, and verbatim reactions.
Lets teams test pre-release and sensitive strategies without exposing them to human research risks.
Test how consumers, peers, and policymakers may respond to a proposed story or message before it is released publicly.
Compare multiple narrative options and identify which one earns the strongest approval across different audience segments.
Explore how a sensitive strategy might land when the real audience is hard to reach or cannot be contacted safely.
Analyze reactions at both segment and individual persona level to see where approval or concerns concentrate.
Use the report and platform outputs to brief internal stakeholders on likely reactions, emotional tone, and quoted responses.
Artificial Societies is built to simulate stakeholder opinions and audience reactions using networks of AI personas. The source describes it as useful for high-stakes decisions in strategic communications and enterprise marketing.
The site shows the product being used for narrative testing before a sensitive launch. In the Teneo case study, it helped test reactions from consumers, industry peers, and policymakers before a major technology strategy went public.
The case study says results were delivered through a written report and an interactive enterprise platform, where users could explore approval scores, emotional sentiment, and verbatim reactions.
The source does not document a public self-serve workflow, onboarding process, or setup requirements. It does show that Artificial Societies works by building large, grounded persona networks and running surveys and experiments across them.
The sources suggest it is aimed at enterprise and research teams working on sensitive or high-stakes audience questions. The site does not provide a public list of integrations or supported third-party tools.