Key takeaways
Understand that Google’s AI moderation is removing reviews at unprecedented rates – including legitimate five-star reviews.
Document your reviews proactively with screenshots and customer records before they disappear.
Space review requests over time to avoid triggering Google’s surge-detection algorithms.
Appeal removed reviews through Google’s Reviews Management Tool with supporting evidence.
Diversify your review presence across multiple platforms so no single deletion wave can define your reputation.
Google reviews are disappearing at rates never seen before. Since 2025, review deletions have surged over 600% across businesses worldwide, according to data from GMBapi.com tracking more than 60,000 Google Business Profiles. Roughly 38% of the deleted reviews carried five-star ratings – meaning Google’s AI moderation is catching legitimate reviews in its net, not just fake ones.
This is not a temporary glitch. Google signed undertakings with the UK’s Competition and Markets Authority to crack down harder on fake reviews, and the company’s machine-learning moderation has become significantly more aggressive. Businesses that received multiple reviews in short bursts, that share phrasing patterns across reviews, or that were flagged by Google’s coordination-detection algorithms have been hit hardest – even when every review was genuine.
The practical impact is serious. Lost reviews lower your average rating, reduce your visibility in local search, and change how AI search platforms characterize your business. This guide explains what is driving the removals, how to protect your existing reviews, how to appeal when legitimate reviews are removed, and how to build a review strategy that is resilient against future enforcement waves.
RankSignal.ai tracks review velocity, alerts you to sudden drops, and helps you maintain visibility across AI and traditional search – even when platform enforcement disrupts your review profile.
1. What is happening with Google reviews in 2026
Starting in 2025, Google’s automated review moderation began removing reviews at a dramatically accelerated rate. At its peak, nearly 2% of all monitored business locations experienced at least one review deletion in a single week – a sixfold increase from the prior baseline (ALM Corp).
The pattern is not limited to obviously fake or spam reviews. Analysis of deleted reviews by star rating revealed that approximately 38% were five-star reviews and only a portion were one-star reviews that might indicate competitor attacks. This suggests Google’s systems are flagging patterns – review velocity, phrasing similarity, reviewer behavior – rather than just content quality.
Real-world examples illustrate the impact. One healthcare provider reported losing 80 reviews in a single week, dropping from 601 to 521 total reviews. The practice stated that the removed reviews were “not off-topic, not incentivized, and not policy-violating – they are normal service reviews mentioning staff by name and describing positive experiences.” A contractor reported that zero of their reviews from 200+ recent jobs were showing up (ALM Corp, February 2026).
The deletion surge has moderated somewhat, but rates remain approximately 400% higher than pre-2025 baselines.
2. Why Google is doing this
Three factors are driving the enforcement:
Regulatory pressure
Google signed formal undertakings with the UK’s Competition and Markets Authority (CMA) committing to enhanced processes for detecting and removing fake reviews and enforcing sanctions against businesses that benefit from them.
AI-powered moderation at scale
Google’s machine-learning systems now scan reviews at submission, analyzing hundreds of signals including reviewer behavior, timing patterns, linguistic markers, and coordination indicators. The technology has become more aggressive, but it is not perfect – false positives are a documented issue (Birdeye).
Industry-wide fake review problem
An analysis by Fakespot and ReviewMeta found that over 30% of online reviews were inauthentic (Nadernejad Media). Google’s aggressive response is an attempt to restore trust in its review ecosystem.
See what AI says about your brand
Free scan across ChatGPT, Claude, Gemini, Perplexity, and Grok – results in 15 seconds.
3. Who is most affected
Based on available data and industry reporting, the businesses most at risk of false-positive review removals include:
Businesses that completed large projects and received many reviews in a short window.
Businesses that actively request reviews through batch emails or SMS campaigns.
Businesses whose customers use similar phrasing – which can happen naturally.
Businesses in sectors where Google’s moderation has been tightened (healthcare, legal, financial services).
Businesses with review profiles that show sudden changes in volume or rating distribution.
