Fake reviews and removal

Two completely different problems get described with the same words, and the fixes are opposite.

The first is a review that shouldn't exist — fraudulent, from a competitor, abusive, or about somebody else's business. That's a removal request, and it works sometimes.

The second is far more common and almost nobody spots it: your real reviews aren't showing up. That's filtering. No notification, no appeal.

What's actually removable

The published grounds are narrow, and worth knowing precisely, because flagging on the wrong one wastes the single lever you have:

• Conflict of interest — a competitor, a former employee posing as a client, or the business itself.
• Wrong business — a real experience, at somebody else's premises.
• Spam or promotion — advertising, links, the same thing posted repeatedly.
• Off-topic — commentary on politics or a social issue rather than dealing with you.
• Harassment, hate speech or obscenity.
• Personal information — naming a staff member's home address, or publishing somebody's private data.

Notice what isn't on that list. "Inaccurate" isn't. "Exaggerated" isn't. "From a client we fired" isn't.

How to flag it properly

Flag once, on the right ground. Pick the specific policy it breaks, not the closest-sounding option. Flagging repeatedly escalates nothing.

Screenshot it first, with the date. If it vanishes and comes back, or turns out to be part of a pattern, that's the only evidence you'll have.

Expect to lose. Most removal requests against genuine negative reviews fail. Planning for that produces better decisions than planning for a win.

Don't start a public argument while a flag is pending. Your reply is permanent in a way the flag isn't.

The filtering problem

This is the one that causes the most confusion, and the mechanics explain why.

Platforms withhold reviews they think look suspicious. The person who wrote it sees it on their own account and assumes it posted fine. You watch your count fail to move. Nobody gets told and there's nothing to appeal.

What tends to set it off: a burst of reviews in a short window, reviews from accounts with no other activity, several from the same network or device, similar phrasing across them, and reviews appearing right after you changed something on the profile.

Every single one of those is a side effect of running a review campaign. The best protection against filtering is the steady, boring, continuous process in Google reviews.

The market to stay out of

Some vendors sell you positive reviews. Some sell you removal of negative ones. It's largely the same market.

The FTC rule reaches buying positive reviews, buying negative reviews about your competitors, and practices that suppress legitimate ones. It carries civil penalties, and the liability sits with your business rather than the vendor you hired.

Buying services prices this properly. It isn't a saving. It's a liability against everything you've built, and what you've built here includes the profile driving your local visibility.

When it's an actual attack

Occasionally a business gets a genuine flood of fraudulent negative reviews.

Document everything with timestamps. Flag them one at a time on the conflict-of-interest ground, not in bulk. Use whatever direct support channel the platform has — an organized attack is one of the few situations where support actually engages.

Don't retaliate. That turns you from the victim into a participant.

And keep your own review process running the whole time. A steady flow of recent genuine reviews is what pulls the average back while the dispute drags on.