What a synthetic audience is, how silicon sampling works, when to use a synthetic survey versus a real one, and how accurate the method actually is — written straight, with the caveats included.
A synthetic audience is a set of AI respondents grounded in real population data, used to simulate a survey in minutes. Here is how it works, what it is good for, and where it breaks.
Read →Synthetic and real surveys solve different problems. A practical guide to when a synthetic survey is the right first read and when you must field a real one.
Read →Silicon sampling is the research technique behind synthetic audiences: conditioning a language model on real respondent profiles to simulate survey answers. Here is the idea and its limits.
Read →A step-by-step way to pre-screen taglines, concepts and pricing with a synthetic audience, so you only field a real panel on the ideas that survive.
Read →An honest look at synthetic respondent accuracy: what the back-tests show, where the method is strong and weak, and why a calibration score matters more than a marketing claim.
Read →Start free in the studio, with the calibration score that tells you how far to trust the result.