Virtual Persona
Build conversational AI-consumer personas from target audience tags, behaviors, and attitudes — ready to call at scale.
AI Consumer is DeepZero’s consumer-research AI agent product. It builds digital-consumer models from multi-source data, then uses multiple AI agents to complete persona creation, questionnaire generation, survey or conversational research, statistical analysis, and insight output — connecting scattered research Tasks into a complete Job, and continually capturing brand consumer-knowledge assets.
Not another one-off questionnaire. Multiple AI agents continually complete audience modeling, question design, survey and in-depth interview execution, statistics, and insight output. Answers and research results become consumer-knowledge assets that support the next round of research and business decisions.
Three AI agents collaborate around the same research goal, taking consumer research from persona and question design through insights and action recommendations.
Build conversational AI-consumer personas from target audience tags, behaviors, and attitudes — ready to call at scale.
Generate or refine questionnaires from the research goal, with support for quantitative items, open-ended questions, and multimodal content.
Analyze survey and conversation answers, then output quantitative results, key themes, consumer motivations, and action recommendations.
Facing long research cycles, shallow feedback, high concept-validation costs, and scattered data, a tea-beverage brand used AI Consumer to build the target audience, complete new-product concept surveys and in-depth interviews, and automatically roll up quantitative results, consumer motivations, and action recommendations — bringing demand validation, concept comparison, and consumer-knowledge capture into one workflow.
Start with a product demo, and see how personas, questionnaires, conversations, and insights come together in one workflow.