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Moonlit Offers Buyer Due Diligence for AI Consumer Research

New method. Serious questions. Moonlit campaign illustration: checklist.

Moonlit's buyer documents explain its collection method, privacy, security and incentives. ESOMAR questionnaire responses are not an endorsement.

Research teams can request Moonlit's answers to ESOMAR's 37 buyer questions, alongside privacy, security and participation documents.

You need the same answers from every vendor, in the same format. A new way of collecting answers is a reason for us to be more transparent, not less.”
— Philip Stayetski, Vulture Labs
SAN FRANCISCO, CA, UNITED STATES, October 22, 2026 /EINPresswire.com/ -- A faster route to consumer answers still has to pass a research team's vendor review. Moonlit has prepared responses to ESOMAR's 37 questions for online sample buyers, alongside documents explaining its privacy, security and participation practices.

Moonlit, from Vulture Labs, connects companies' research questions with people's own AI assistants. The assistant prepares an answer from permitted information, the person approves the submission and accepted answers earn a reward. That collection method gives buyers specific questions to ask about evidence, consent and sample quality.

The available materials include the buyer-question responses, a data processing agreement, security information and explanations of participant consent and incentives. They are intended to help teams assess how the service works before commissioning a study. Responding to ESOMAR's questions is not ESOMAR certification or endorsement.

The company also distinguishes current documentation from evidence it has yet to build. A panel book, weighting information and field-validation results are planned with the first real study results. The internal synthetic-email benchmark does not substitute for those materials or establish population representativeness.

For a suitable initial project, buyers can describe the audience and the purchase facts they need, check availability, and agree on an appropriate scope. Moonlit targets a one-day research cycle, subject to the audience, approvals and verification. It does not promise immediate completion for every study.

Results are aggregated and groups smaller than five are withheld. Source labels distinguish records from estimates and unavailable information, so a fast result can still show its limits.

Research teams can request the documentation and an audience check at https://askmoonlit.com/research. That is the first step toward deciding whether paid work by participants' AI assistants fits the question they need answered.

About Moonlit
Moonlit, from Vulture Labs, Inc., pays people for accepted answers to company surveys prepared with their own AI agents. People approve each answer before sharing it. Companies receive aggregated research.

Companies can request a study at https://askmoonlit.com/research. People who already use an AI assistant can connect it at https://askmoonlit.com/setup. People new to AI can use the same guide to choose a supported assistant and set it up for paid surveys. Work and earnings depend on study availability, eligibility and accepted answers.

Philip Stayetski
Vulture Labs, Inc.
+1 530-574-3117
philip@vulturelabs.com

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