Every review platform — Google, Trustpilot, the Play Store, G2 — has the same rule buried in its terms: you cannot pay for a review, and you cannot condition a reward on what the review says. Businesses break this rule constantly, usually without realizing how easy it is to get caught, and how expensive getting caught actually is.
What "bought" actually means to a platform
Platforms don't need a smoking gun to act. Sudden review velocity spikes, a cluster of five-star ratings with near-identical phrasing, or reviewer accounts with no other activity are all signals that trigger automated review filtering — and in serious cases, listing suspension.
The damage isn't just the removed reviews. A suspended Google Business Profile listing can take weeks to reinstate, during which the business is effectively invisible in local search. For a business relying on foot traffic or local search leads, that's not a minor setback.
What verified participation looks like instead
The alternative isn't "don't ask customers for reviews" — asking is fine, and encouraged by every platform. The distinction is what you're rewarding.
Rewarding someone for leaving any review, verified as genuine, is compliant. Rewarding someone specifically for a 5-star review, or hiding a reward until you've confirmed the rating, is not. The reward has to be for participation — proof that a real customer did a real thing — never for the sentiment of what they wrote.
- Screenshot or receipt verification confirms the interaction happened
- The reward is fixed regardless of star rating
- Negative reviews are never filtered, hidden, or discouraged
The trust compounding effect
There's a second cost to bought reviews that's easy to underestimate: customers can tell. A page of suspiciously uniform five-star reviews reads as manufactured, and it undermines the ratings that actually are genuine. A 4.6 average built from real, verified, occasionally critical feedback is more persuasive — and more durable — than a fragile 5.0 that collapses the first time a platform runs a review-authenticity sweep.
