> ## Documentation Index
> Fetch the complete documentation index at: https://mr.verifyyou.com/llms.txt
> Use this file to discover all available pages before exploring further.

# VerifyYou for market research

> The whole thing on one page. Real, unique, live humans in your panel, before the incentive is paid.

<div className="vy-print-tight">
  **Stop paying for the same person twice, and for bots not at all.** VerifyYou confirms that each respondent is a real, unique, live human before they reach your study or your incentive, without collecting extra PII. The check takes a few seconds in the browser, needs no government ID, and what your dashboard sees is a verdict, never a face.

  ## The problem, in third-party numbers

  <div className="vy-stats mt-4">
    <div className="vy-stat">
      <div className="num">\~40%</div>
      <div className="lbl">of nonprobability survey interviews in 2025 were fraudulent, on the order of two billion responses.</div>
      <div className="src">Insights Association</div>
    </div>

    <div className="vy-stat">
      <div className="num">99.8%</div>
      <div className="lbl">of standard survey quality checks passed by AI agents in one proof-of-concept study.</div>
      <div className="src">Westwood, PNAS</div>
    </div>

    <div className="vy-stat">
      <div className="num">51%</div>
      <div className="lbl">of all internet traffic is now automated, surpassing human traffic for the first time.</div>
      <div className="src">Imperva, 2025</div>
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  These are industry figures from third parties, not our measurement of your account. Generative AI lowered the cost to fake a person, so the volume keeps rising, and passive detection after the fact is a race you never fully win.

  ## What it is

  Two questions answered in the same few seconds. **Liveness:** a live person is present now, not a photo, a recording, or a deepfake. **Uniqueness:** you have not already seen and paid this person, scoped to per survey, per study, or per panel, whichever fits. A duplicate fails uniqueness, a bot fails liveness, a survey farm fails both.

  ## What it catches

  * **Duplicate respondents** taking the same study under different emails or phone numbers.
  * **Professional survey-takers** who speed-run incentivized surveys across many panels.
  * **Bots and AI-assisted respondents** that clear a simple bot check and read like a thoughtful human.
  * **Survey farms**, one human running thousands of accounts across platforms.

  ## What it is not

  Not KYC. It does not prove a name or a legal identity, on purpose, because for survey work you almost never need to know who someone legally is, only that they are a real person you have not already paid. It sits alongside your attention checks and speeding detection, not in place of them. A face vector is kept to recognize a returning respondent, an array of numbers rather than an image, and genuine repeat participants carry a portable credential so they are not asked to prove themselves twice.

  ## Where it fits

  Put the check right before the incentive. Real people push through because they want to finish, and the accounts that balk are usually the ones you were about to pay for nothing.

  ## See it for yourself

  A free pilot with a branded link, a check you push to a batch of your own respondents with no engineering work, so you can watch real people run through it before writing integration code.

  **Let's talk.** Book a time at sales.verifyyou.com, or reach David Graham at [david@verifyyou.com](mailto:david@verifyyou.com). Longer version in [the white paper](/white-paper).

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