"Verified" gets used loosely across the review-collection industry, so it's worth being specific about what it should mean: a reviewer submitted evidence a human (or an automated check) confirmed as a genuine interaction, before anything was paid out or counted.
Step 1: proof of the interaction
The reviewer submits a screenshot of the posted review, alongside context — which platform, which listing, and the review itself. This is the baseline evidence that a review actually exists and was actually posted, not just claimed.
Step 2: automated checks
Screenshots are screened for tampering signals, duplicate submissions, and consistency with the claimed platform and listing. Device and network signals help catch bulk submission attempts — the same pattern platforms themselves watch for.
Step 3: decision, independent of sentiment
This is the part that keeps a program compliant: the verification decision checks whether the submission is genuine, never what the review says. A confirmed one-star review and a confirmed five-star review pass verification on identical terms. If a program's approval rate quietly correlates with star rating, that's not verification — that's filtering, and it's the exact behavior platforms penalize.
Why this matters for the business, not just the platform
A verification layer isn't just about staying inside platform rules. It's what makes the resulting review data trustworthy enough to act on — a business can look at its verified review trends and know they reflect real customers, not a handful of enthusiastic insiders or a burst of incentivized noise.
