MarketResearchAgents

Demographic Reaction Engine predicts how the US population would react to a pitch, ad, product page, or policy — before you ship it. Paste copy or a URL. Google Gemini returns a structured analysis across five demographic dimensions (age, education, region, gender, marital status) with stance scores from -100 to +100, concerns, benefits, and verbatim quotes. Those segment reactions are mapped onto 13,354 simulated personas, rendered as a stance histogram, archetype heatmap, polarization index, and browsable persona directory. Persona dataset. Built from NVIDIA Nemotron-Personas-USA (Census-grounded synthetic personas), filtered to working-age, and enriched with personal income via k-nearest-neighbor lookup against the 2023 ACS PUMS (~3.4M US Census records) on state × occupation × education × sex. The bigger picture. Synthetic Census personas are the open-data proof of concept. The same engine plugs into first-party customer profile data at companies like Google or Meta — turning their audience graphs into a production market research product: run any new ad, feature, price, or policy past millions of agent-simulated real customers in minutes, before a single focus group.