The first agency for recruiting respondents ADS
Ability
Development Success
Validate marketing hypotheses before recruitment — in minutes
Alice by ADS is an AI-powered synthetic audience model built on real respondent samples collected by ADS since 2013.
It simulates target-segment reactions and estimates purchase likelihood before field research and recruitment begin.
This allows teams to evaluate ideas early, reduce launch risk, and avoid spending budget on weak concepts.
Try Alice:
https://chatgpt.com/g/g-698c732e8b9c8191b896f8b7b2d073ce-alice-ads-research
Why teams use Alice
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Rapid screening of ideas and concepts
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Early go/no-go decisions before recruitment
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Lower research and testing costs
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Evidence-based concept validation
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Faster iteration cycles
Alice is valuable for startups, product teams, and researchers who need to understand “will this work?” before committing to recruitment and fieldwork.
What makes Alice unique
Built on real recruitment data
Alice is not based on generic LLM personas.
It uses behavioral patterns derived from real ADS respondent samples collected over 12+ years across B2C and B2B studies.
Bridge between synthetic and field research
Alice shares the same segmentation logic as ADS recruitment.
This makes synthetic results directly comparable with real studies and respondent samples.
Prediction before research spend
Estimate purchase likelihood and audience reaction before briefing, screening, and respondent incentives.
Decision speed
Minutes instead of weeks — evaluate ideas, value propositions, messaging, and creatives early in the process.
Strength in hard-to-reach audiences
Particularly effective for B2B, premium segments, and niche professional audiences where generic synthetic models often fail.
Typical use cases
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Concept and product idea validation
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Value proposition testing
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Messaging and positioning checks
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Creative direction screening
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Early product-market fit signals
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B2B hypothesis validation