Real data. Real people. Real research.
Aurivio and CHRR at The Ohio State University unite to rewrite the playbook on gathering accurate, trustworthy research data
Aurivio and CHRR at The Ohio State University, a leading-edge survey research center for 60+ years, have joined forces to supercharge customer insights. This first-of-its-kind partnership unites Aurivio’s AI-driven data intelligence with CHRR’s gold-standard approach to research and gathering insights from people.
Together, the partners are tackling a growing crisis in the online survey field: untrustworthy data due to escalating digital fraud. Key elements of the partnership offer a new path forward: Aurivio has access to an expansive pool of verifiable survey participants, and CHRR is leveraging this pool to launch high-quality panels of people who can be surveyed on demand and over time. With both organizations working in close alignment, this partnership signals the beginning of a series of bold innovations aimed at restoring trust in the survey ecosystem.
Tackling a growing crisis in the online survey field
Most market research today is being quietly poisoned by AI - synthetic respondents, bot-filled panels, and AI-assisted survey fraud. Together we are solving this high impact problem. Recent studies show that about 30 percent of surveys are fraudulent — a mix of AI, bots, and humans "gaming" the system, according to fraud detection leader Rep Data. When it comes to AI fraud specifically, another key study found that a synthetic respondent mimicking a human was able to bypass 99.8 percent of industry-standard safeguards. These factors are rapidly eroding the integrity of data, leaving those in the field with a choice: evolve or lose credibility.
Recent reporting on this problem:
"This Is What Will Ruin Public Opinion Polling for Good" — The New York Times, April 2026
"Fake survey answers from AI could quietly sway election predictions" — Phys.org / Dartmouth research, November 2025
"How AI-Generated Survey Responses Corrupt US Market Research Data" — Insights Opinion, April 2026
"AI polls are fake polls" — Silver Bulletin (Nate Silver), April 2026
Additional Sources: 1 Source: https://repdata.com/research-on-research/ 2 Source: https://www.pnas.org/doi/10.1073/pnas.2518075122
THE POWER OF PANELS
A solution for a system increasingly threatened by bad actors
Most online panels rely on probabilistic guesses about who's behind a survey response, an approach the fraud crisis has rendered increasingly untenable. The Aurivio and CHRR Panel is built differently.
Every panel member is a verified individual, confirmed through public records. Participation is voluntary and ongoing, creating longitudinal relationships rather than one-off transactions. And because the panel is grounded in verified identity from the start, it becomes a foundation for innovation — opening doors to richer, deeper forms of research the industry hasn't been able to reliably deliver until now.
"At a moment when the integrity of online data is under real threat, this partnership represents a decisive step forward for social science research," said CHRR Director Stephen Gavazzi, also a professor in the College of Education and Human Ecology at Ohio State. "Together, CHRR and Aurivio are creating research panels grounded in verified people, real lived experience, and trust in the integrity of longitudinal data. That foundation is essential for producing findings that scholars, policymakers, and communities can rely on."
For commercial researchers, this means insights you can trust and act on. For academic and policy researchers, it means a panel built to a standard that holds up to peer review.
Most market research is getting poisoned. Quietly.
AN ANTIDOTE IN THE AGE OF AI
AI changed the economics of survey fraud. Synthetic respondents are cheap to deploy. Bots can pass attention checks. Real participants are using AI to write plausible open-ends. The data still looks tidy — the trend lines look smooth — but the people behind the responses may not exist. This isn't theoretical. The numbers are already in.
~30% of online surveys are fraudulent — a mix of bots, AI agents, and humans gaming the system.
Source: Rep Data, Research on Research
99.8% of industry-standard fraud safeguards were bypassed by a single synthetic respondent in a recent academic study.
Source: PNAS, 2025
Success by the numbers
60+
Years of research history
45
Person research team
1
Partnership
