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Why Google Reviews Disappear: The Seven-Day Filter

Published October 31, 2026

A customer swears they left your business a five-star review. It never appears — or it appears, and a week later it is gone, with no notice and no explanation. In 2026, a research team tracked 4.9 million Google reviews across 9,048 business profiles for two weeks and counted what vanished. Their finding reframes the mystery: disappearance is not an occasional glitch. It is a standing filter that removes roughly 2% of new reviews in their first week, every week — and it follows rules you can learn.

First, separate the bugs from the filter

Two different things make reviews vanish, and they need opposite responses. The first is a platform bug. In February 2026, reviews disappeared from business profiles while remaining in the profile's review count and still visible on the reviewers' own profiles. Google acknowledged a display issue on February 10, called it mostly fixed on February 13, and by mid-March most reviews were back. When the count and the visible list disagree, that is the signature of a display problem: wait.

The second is deliberate removal. With no incident running, the researchers watched 4,590 reviews disappear from their panel in two weeks in August 2026. That is the filter: Google's automated screening, which the company says blocked or removed over 292 million policy-violating reviews in 2025 while publishing more than a billion. If a review is gone from the reviewer's own profile too, it was removed, and it will not return on its own.

A new review is on probation for seven days

Every review passes a check before it is published, which Google says takes a few days at most. The study's central finding is what happens next: deletion risk follows the review's age, not the calendar. Negative reviews are screened first, peaking on days two and three. Positive reviews are screened later — 47% of the positive reviews removed in their first 13 days disappeared on days six and seven. After day eight, the daily risk falls to about a tenth of the day-seven peak and stays there.

Old reviews are not exempt. Half the deletions in the panel hit reviews under a month old, but a third hit reviews over a year old — most of those in bulk, when Google removed the author's entire account. One deletion in five, where the author could be traced, was every review by that account disappearing on the same day, across unrelated businesses.

The account matters more than the text

The single strongest predictor of removal was not anything the review said. A first-ever review was deleted 5.6 times more often than a review from a Local Guide at level 6 or above. First reviews made up 14% of the reviews in the panel and 22% of the deletions. The same words, from a new account, are treated as a different object than the same words from an established one — Google's models weigh the account, including its links to other suspicious accounts, far more than the sentence.

This has an uncomfortable consequence for honest businesses: the customers least likely to have an established Google presence — older customers, one-time visitors — write the most fragile reviews. It also explains a pattern our Verified Purchase explainer found on Amazon: platform trust signals certify the account and the transaction, not the sincerity of the text.

Extremes go first, and bursts look suspicious

Within the same business, one-star reviews were deleted 3.9 times more often than four-star reviews. About 5.7% of new one-star reviews were gone within a week, against 1.8% of five-star reviews and under 1% of three- and four-star reviews. Google removes the extremes first, and one-stars fastest of all.

Timing matters as much as tone. A review posted on a day when the business received at least three positive reviews and four times its usual daily volume was deleted 1.8 times more often — the risk rises with the day's count, while a high-volume month carries no extra risk at all. The filter reacts to the burst, not the trend. Perfection is also a signal: profiles where 85% or more of reviews are five stars lost reviews at 2.2 times the rate of profiles in the 50–70% range, and on profiles rated 4.8 or above, even a four-star review was deleted nine times more often than on profiles under 4.5. That profile-shape risk sits alongside the solicitation rules in our Google 2026 review rules explainer: how you collect shapes what survives collection.

What makes no difference at all

The study is equally useful for what it cleared. Reviews naming a staff member were deleted at exactly the same rate as reviews that did not (1.01×) — despite Google's April 2026 policy against soliciting reviews that identify staff, the filter does not appear to enforce it. Review length made no difference. Stock phrases such as "highly recommend" made no difference. Photos looked protective in the raw numbers, and the effect vanished once other factors were controlled. If you are editing your review requests to dodge the filter, most of the usual folk advice is aimed at things the filter ignores.

The same filter removes review bombs

Before treating every deletion as a loss, note the direction of the totals. One- and two-star reviews are 9% of all reviews but 20% of deletions. When two Spanish gyms in the panel received 297 one-star reviews across August 1–2 in an apparent review bomb, 295 of them were gone by August 16 — the filter cleaned the attack up largely on its own. And because Google removes more one-stars than five-stars, the net effect on scores was tiny: among businesses that lost five or more reviews, the average rating moved by 0.01 of a star. Deletion feels personal; arithmetically, it mostly cancels out.

What actually helps

Sources

Data checked October 31, 2026. The deletion figures come from one research panel of Google business profiles in August 2026, published by a review-management company; they describe Google's behaviour as observed, not Google's internal rules, and rates vary by country and sector (US profiles in the panel lost about twice as much as European ones). Nothing here is a guarantee that any individual review will stay or go.

Go deeper with AI

This article is the starting point. Copy any of these prompts into your favorite AI assistant to learn more about why Google reviews disappear:

🔎 Diagnose one missing review before you panic

A review for my business disappeared. Facts: it was posted [date], it is [still visible / gone] on the reviewer's own profile, my profile count is [higher than / equal to] the number of reviews I can scroll through, and the review was [first review from that account / from a regular]. Using the distinction between display bugs and filter removals, tell me which one this most likely is, whether it can come back on its own, and the exact next step for that case.

🧭 Estimate your profile's deletion risk from its shape

My Google profile has [count] reviews, [X]% of them five-star, an average of [score], and I collect about [N] reviews a month, mostly by [how you ask]. Based on the 2026 Reviewflowz findings — first reviews deleted 5.6x more often, profiles at 85%+ five-star losing reviews at 2.2x the rate, burst days at 1.8x risk — score my risk factors, estimate roughly what share of new reviews I should expect to lose in week one, and name the one change that reduces risk most.

💡 Build a day-8 review routine for your business

Design a weekly routine for my [business type] that works with Google's seven-day review probation: when invitations go out so they never land in one burst, a reply schedule that gets every positive review an owner reply by day 2, a monthly export habit so I can tell which reviews disappeared, and a simple day-8 count I can track in a spreadsheet to judge campaigns by what survived. Keep it under 30 minutes a week.

Tip: replace the bracketed parts with your own situation — the more specific your prompt, the more useful the answer.

Summary

Google removes reviews constantly and quietly: in the 2026 Reviewflowz × Cartelis panel, about 2% of new reviews vanished within a week, screened by age (negatives on days 2–3, positives on days 6–7), with first-time reviewers deleted 5.6 times more often than experienced Local Guides and one-star reviews removed fastest of all. Bursts and near-perfect profiles attract extra risk; wording, length and staff names do not matter. The same filter removes most review bombs by itself, and ratings barely move (0.01 stars on average), while replying to positive reviews within two days roughly halved their deletion odds.

The single most important takeaway: a review is not yours until it survives day eight — so collect steadily instead of in bursts, reply early, and judge every campaign by what is still live after the probation week.

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