What the Platforms Actually Allow You to Do for Reviews

Here is the whole rulebook on one page, so you never have to guess:
Allowed: asking · asking in person · asking by email or text · making it easy (a link, a QR code) · asking everyone · replying to reviews · repurposing genuine ones honestly. Not allowed: paying or discounting for reviews · gating (soliciting only happy customers) · filtering out negatives · writing fake ones · buying them · reviewing yourself or competitors from other accounts.
The line is simple: you may make it easy to leave an honest review. You may not influence what the review says, who leaves one, or whether it is real.
Most businesses are unsure where the line is and either do too little (never ask) or cross it (offer a discount). This is the reference. The method for staying the right side of it is a separate piece; this is the rulebook itself.
Why there are rules at all
A review’s entire value — to the customer reading it and to the platform hosting it — is that it is independent and honest. Every rule exists to protect that.
The moment a business can pay for reviews, gate out the unhappy ones, or fabricate them, reviews stop meaning anything, and the platform’s whole product is worthless. So Google, TripAdvisor and the rest police the independence hard, and since 2024 the US FTC has made buying and selling fake reviews outright illegal — this is now law, not just platform policy.
Understand why the line is where it is, and you will never accidentally cross it: anything that makes reviews less honest or less independent is banned. Anything that just makes an honest review easier to leave is fine.
What you are allowed to do
Ask. Directly, as often as you like, in person or by message. Asking is not only allowed, it is the single most effective honest thing you can do. The biggest reason a business has few reviews is that it never asks.
Make it easy. A review link, a QR code that opens straight to the review box, a follow-up text with the link. Removing friction is fine — you are helping a willing customer, not influencing them.
Ask everyone. Every customer, the same way, regardless of how you think they feel. This is the crucial one — asking everyone is allowed; asking only the happy ones is gating, which is not.
Reply. Thank the good, answer the bad calmly. Responding is encouraged.
Repurpose honestly. Screenshot a genuine review, quote it verbatim, attribute it. Fine.
What you are not allowed to do
Incentivise. No discount, free item, prize draw, or reward of any kind for a review. Google prohibits content “posted due to an incentive.” This is the one businesses cross most, usually without realising it is a violation.
Gate. Asking happy customers for a public review and routing unhappy ones to a private form is against policy and detectable — it artificially inflates the rating. Ask everyone the same way.
Filter. You cannot pick and choose whose honest review appears. You do not control who leaves one.
Fake. Writing reviews yourself, having staff or family post, buying them, using a service that generates them — fraud, and since 2024, illegal. The fake-review problem in full is its own piece.
Cross-review. Reviewing competitors down or yourself up from other accounts — same category, same risk.
The grey areas, resolved
A few that genuinely confuse people:
“Can I remind customers who forgot?” Yes. A gentle follow-up to a customer you served, with the link, is asking — allowed. Just send it to everyone, not only the ones you think are happy.
“Can I offer a prize draw for reviewers?” No. That is an incentive, even if it is not cash and even if it is not conditional on a positive review. Any reward tied to leaving a review is out.
“Can I ask staff and family?” No. They are not genuine customers, and reviews from connected accounts are exactly what the platforms hunt for.
“Can I reward a testimonial, though?” Yes — a testimonial is different. You may reward the content you record and publish yourself; you may never reward a review. That distinction is the whole thing, and confusing the two is how businesses end up incentivising reviews by accident.
The consequences are real
This is not a rulebook that is quietly ignored.
- Reviews get removed — incentivised or fake ones, when detected, dropping your count and average.
- Profiles get flagged or suspended — systematic violations can cost you the listing, and every review with it.
- The FTC rule carries penalties — fake reviews are now a legal exposure in the US, not just a policy breach.
- Customers spot it — a suspiciously perfect profile, or a “5 stars for a free coffee” sign, is a red flag to the exact careful customers you want.
The honest method is slower and it is the only one that does not eventually blow up.
A real day at the counter
Imagine a small café that wants more reviews. The owner prints a little card for the till: “Enjoyed your coffee? Scan here.” Every customer who pays gets one — the regular, the tourist, the person who sent their flat white back. That is the whole compliant setup. The QR opens straight to the review box, so a willing customer taps three times and is done.
Now watch the same café cross the line without meaning to. The owner adds “Show us your review for a free biscuit.” The card now buys reviews — banned. Or the barista starts handing the card only to customers who smiled — that is gating, because the unhappy ones never get asked. Same café, same card, two tiny changes, and both put the listing at risk. The tell each time: the change influenced who reviews or why, not just how easily.
How platforms actually catch it
The rules would be toothless if breaking them were invisible. They are not. Platforms watch for patterns a genuine business never produces: a burst of five-star reviews in one week after months of silence, reviews from accounts that only ever rate one place, a rating sitting far above the profile’s own history, wording that repeats across “different” reviewers. Gating shows up as a shape — a public rating suspiciously cleaner than the quiet grumbles a place its size would normally collect. None of this needs a human to notice you; it is pattern-matching at scale, and once a profile is flagged, it gets less benefit of the doubt on everything after. That is the real cost — not one review removed, but a listing the algorithm now distrusts.
What if a competitor is breaking the rules?
It is tempting to match them, or to report them. Reporting genuine fakes to the platform is fair and sometimes works, though slowly. Matching them is the trap: their shortcut is a liability sitting on a timer, and when a sweep or an FTC action lands, they lose the reviews and sometimes the listing with them. Building yours honestly is the boring bet that keeps paying, because a competitor’s inflated rating is borrowed, not earned — and borrowed ratings get called in.
Keep the one-line test in your head
Everything reduces to this: you may make an honest review easier to leave. You may not influence what it says, who leaves one, or whether it is real.
Ask the test of any tactic you are considering. “Offer a discount” — influences who leaves one and why: banned. “Put a QR code on the receipt” — just makes it easier: fine. “Only ask the happy ones” — influences who leaves one: banned. “Reply to a bad one” — fine.
Hold that line and you never have to guess.
The honest method, in practice — more reviews without breaking any of this — is the how-to.