Fake Trustpilot Official Bad Review Removal Agency Scam: Posing as platform-authorized entities to collect channel fees for removal, then disappearing or extorting further

Who Gets Targeted

Victims are mostly cross-border e-commerce sellers, overseas brands, and operations agency managers. After competitors maliciously flood their Trustpilot homepage with 1- or 2-star negative reviews, their ratings plummet, directly impacting independent site conversion rates and ad account weight. These individuals are generally unfamiliar with overseas platform appeal rules and have limited English communication skills. Seeing their ratings drop daily, they rush to stop the bleeding and are easily hooked by direct messages claiming to be Trustpilot China partner service providers. They lack vigilance regarding exclusive commitments of paying upfront before reviews are deleted, and are blocked immediately after payment. Some merchants are even blackmailed with chat logs proving they hired someone to post bad reviews, threatened with reports of account violations, and trapped in a vicious cycle of continuous payments, with individual losses ranging from 3,000 to 80,000 yuan.

骗局怎么运作

• Step 1: Casting the phishing net. Scammers pose in seller communities, forums, and direct messages as Trustpilot China authorized service providers or former platform review staff. They display forged cooperation certificates, backend screenshots, and success cases, claiming to have internal fast-track bad review removal channels guaranteed within 24 hours, disrupting merchants' understanding of official processes.
• Step 2: Manufacturing panic to force a deal. Scammers first conduct a check on the target merchant's homepage, exaggerating normal negative reviews into malicious attack records. They claim that unless handled immediately, the account will be downgraded or banned by the platform, using limited-time special channel slots to create urgency and inducing merchants to pay the same day to lock in the service.
• Step 3: Collecting deposits and base fees. Quotes are typically 500 to 2,000 yuan per negative review, requiring a 50% upfront deposit or prepaid corporate service fees. Payment channels intentionally use personal QR codes or cryptocurrencies to avoid corporate paper trails, and terms stating no refunds for failed removals are embedded in electronic contracts.
• Step 4: Fake execution and endless stalling. Scammers use AI to generate fake processing work orders and platform receipt screenshots, sending them to merchants while claiming the negative reviews have entered the platform review queue, extending the cycle to several weeks. During this time, they continuously demand additional fees under various names such as expedited fees, overseas lawyer letter fees, and cross-departmental coordination fees.
• Step 5: Bad review rebound and secondary harvesting. Some scammers are actually the ones posting the bad reviews in the first place, first hiring click farms to drop 1-star reviews on Trustpilot and then appearing as review removal service providers, creating a closed loop of self-posting and self-deleting. After merchants pay, the negative reviews briefly disappear only to return, forcing them to renew annual maintenance packages.
• Step 6: Disappearing or counter-attacks. When merchants realize they have been scammed and demand a refund, scammers threaten them by reporting them for purchasing illicit review removal services, exploiting their fear of platform penalties to silence them, and ultimately blocking them and running away. Because the amounts are scattered and cross-border, the cost of recourse is extremely high.

红旗信号（看到这些快跑）

• 🚩 The counterparty claims to be a Trustpilot official authorized agent or internal employee, but cannot provide verifiable partnership credential links on the official website. Trustpilot officially states there are no paid bad review removal channels.
• 🚩 Absolute outcome guarantees such as 100% removal, results within 24 hours, or a full refund if unsuccessful. Legitimate platform appeals take weeks and do not guarantee results.
• 🚩 Demanding payments to personal accounts, cryptocurrency addresses, or third-party corporate accounts inconsistent with the contract entity, while refusing to issue legitimate invoices.
• 🚩 The presented backend system screenshots and success cases cannot be independently verified, and enterprise names in the cases either do not exist upon query or deny cooperating with the service provider.
• 🚩 Frequently adding various fees before and after signing the contract, such as expedited channel fees, overseas lawyer letter fees, and cross-departmental coordination fees, applying pressure each time that reviews will be reinstated if unpaid.
• 🚩 Negative reviews on the merchant's homepage densely appear right around the time of contact with the service provider, with review text styles matching AI mass generation, showing a suspicious timeline of self-posting and self-deleting.

真实案例

• In May 2025, Trustpilot released its annual Trust Report, disclosing that a total of 4.5 million fake reviews were removed throughout 2024, of which about 90% were automatically identified and cleared by generative AI and data science tools. The platform explicitly stated that no corporate paid expedited channels exist for review removal, corroborating that all paid removal agencies on the market lack official authorization. (Source: [https://www.cifnews.com/article/180634](https://www.cifnews.com/article/180634))
• In November 2025, cross-border e-commerce media Hugo reported that an interviewed manager of a Shenzhen overseas brand stated they were charged nearly 20,000 yuan by a service provider claiming to be a platform partner for bad review removal. The reviews were not removed, the party went out of contact, and they ultimately had to report and handle them item by item through Trustpilot's official free appeal channel.
• In March 2026, Sohu Technology reported that as Trustpilot reviews are heavily cited by large language models as corporate reputation benchmarks, gray-market demand for review manipulation and removal around the platform has surged. An Yiwu small commodity seller reported falling into a twin trap of first being hit with bad reviews and then being pitched review removal services, with cumulative losses exceeding 30,000 yuan.
• Since 2025, similar scams in the domestic e-commerce sector have been reported by CCTV, with AI-generated fake buyer shows and bad reviews flooding review sections. Some merchants paid so-called bad review processing studios only to find negative reviews increasing instead of decreasing, and public security organs warned that such services often involve extortion and illegal business operations.

Official Stance

• On May 29, 2025, Trustpilot officially released its Trust Report and a concurrent PR Newswire statement, emphasizing that the platform automatically clears 90% of identified fake reviews using generative AI, and no enterprise can pay to remove authentic negative reviews left by consumers.
• On September 1, 2025, the Provisions on the Administration of Generative Artificial Intelligence Generated and Synthesized Content jointly issued by the Cyberspace Administration of China and other departments officially took effect. Unlabeled AI-generated reviews constitute irregular content, and merchants should report them through official channels rather than purchasing underground review removal services.
• Between 2025 and 2026, Chinese police repeatedly issued warnings regarding internet click farms posting negative reviews and paid review removal, clarifying that organizing bad review campaigns constitutes extortion and the crime of damaging commercial reputation, while paid post-removal services constitute the crime of illegal business operations.
• Trustpilot platform rules state publicly that enterprises can only initiate free report appeals for false or non-compliant reviews, and any third-party service claiming guaranteed removal of bad reviews violates platform terms, risking account suspension for businesses purchasing such services.

How to Protect Yourself

• ✅ Remember that Trustpilot has no paid bad review removal channels. Handle negative reviews only through the official backend free report function on a case-by-case basis, attaching order numbers and communication records as evidence. Processing cycles typically take several weeks.
• ✅ For any service provider claiming to be a platform authorized agent or former internal employee, demand a partner directory ID verifiable on the official Trustpilot website. Inability to verify should be treated as a scam.
• ✅ Verify whether the counterparty's corporate account matches the contract entity before payment, refuse personal QR codes and cryptocurrency settlement, write all promises into the contract, and stipulate unconditional refund terms and liquidated damages if removal fails.
• ✅ When discovering a sudden influx of similarly styled negative reviews on your homepage, first screenshot and preserve the timeline and text features to determine if they are AI mass-generated or competitor attacks, then bulk-report to the platform and file a police report instead of panicking.
• ✅ Incorporate review section monitoring into daily operations, use official review notifications and AI response tools to address genuine negative reviews promptly, and offset occasional malicious reviews with a long-term accumulation of authentic positive reviews to reduce psychological vulnerability to extortion.
• ✅ If already scammed into payment, retain chat logs, transfer vouchers, and the counterparty's account information. Once the amount reaches the threshold for filing a case, report it to the local public security organ, and if necessary, entrust a lawyer to issue a letter and request the payment platform to freeze the other party's account.