SurveyGenie exists because all of my personal research got deleted one day by a major survey provider. Member polls, leadership surveys, population studies (yes, I've done those for fun), new brand research. A particularly quirky study I'd spent almost a year of free time on, entirely centered on understanding affluent cheapskates. All gone, and unrecoverable. Poof.
How could this happen? Was I hacked? No — a paid account of mine had gotten quietly downgraded. Without warning, this company-who-shall-not-be-named wiped every response I had — except the last 25 per survey. Thousands of responses, across dozens of studies, gone. The kicker? They kept the incomplete, bot-looking garbage. They just threw out the clean, good, high quality data. Oh and just for fun, I had to pay $100/month just for the pleasure of downloading those 25 responses per survey, because they don't allow downloads on the free tier. Thanks for that.
Yes, I should have been downloading backups consistently. But I trusted that my data was safe and I honestly hadn't given it a second thought. I'd also spent tens of thousands of dollars with them over a decade, and storing text responses costs essentially nothing. They deleted my data because they could — and because nothing in the category stopped them.
SurveyGenie is what happens when you take everything that's wrong with this category — stale builders, bot-riddled panels, exploitative pricing, and the quiet contempt that lets a vendor throw away your data to push an upgrade — and rebuild it with AI, transparency, and a fair-pay model at the core.
Industry bot and fraud rates sit around 40% on most commodity panels. Enterprise teams have known this for years and built sprawling quality-control workflows to deal with it. Mid-market teams mostly don't — which means half the "consumer insights" shaping brand decisions are noise, and nobody wants to talk about it.
SurveyMonkey launched in 1999. Qualtrics in 2002. The question-building experience has barely changed since. Meanwhile the rest of the software world has been reinvented twice. We can do better than a drag-and-drop editor from the George W. Bush era.
Most research panels pay consumers about 10–15% of what researchers spend. That's why response quality is what it is — nobody respects the people generating the data. Fix the incentive, and quality follows. That's not a theory; it's what our panel completion rates demonstrate.
AI — real, purpose-built AI for writing surveys, probing open-ends, scoring quality, and generating insights — combined with a fair-pay panel and transparent pricing, is what the next decade of research should look like. That's what we're building.
Every dollar a researcher spends on our panel is split 50/50 with the respondent. It's itemized at checkout. It's auditable. It's how our panel gets the completion rates it does, and it's non-negotiable.
Fraud scoring, attention checks, device fingerprinting — these ship on every plan, including the free tier. The category has gated "data quality" as an enterprise feature for years. We refuse.
Purpose-built AI for the actual stages of research: drafting surveys from briefs, probing thin open-ends, theming qualitative data, generating exec summaries. Not AI for writing subject lines.
Flat per-user tiers, itemized panel costs, no "contact sales" games, no hidden minimums. The list price on our landing page is the price you pay. Enterprise is where we negotiate volume — not where we keep the real pricing hidden.
Free forever for your own audience. 14-day trial on any paid plan. Pay-as-you-go panel on every tier.