AI & Technology How It Works

Fakespot Is Gone. Here’s What Actually Catches Fake Amazon Reviews Now

Fakespot Is Gone. Here’s What Actually Catches Fake Amazon Reviews Now

Gakespot, the most popular tool for catching fake Amazon reviews, shut down permanently on July 1, 2025, and Mozilla never named a successor. ReviewMeta, the other major option, has been effectively dead since 2021 and now returns a server error entirely. NullFake is currently the most reliable working alternative, but no tool, including AI-powered ones, can catch every fake review anymore, because the newest fakes are AI-written, and they don’t have the tells that older detection methods, and older detection habits, were built to catch.

What Happened to Fakespot (and Why It’s Not Coming Back)

Mozilla acquired Fakespot in 2023, betting that fake-review detection could become a real product line. It didn’t work out. Mozilla discontinued the website, mobile apps, and browser extension on July 1, 2025, after disabling Firefox’s built-in Review Checker feature weeks earlier on June 10.. The company stated the concept never fit a sustainable business model, and it did not sell Fakespot, open-source it, or hand it to a successor. As of mid-2026, there has been no revival announcement from Mozilla or Fakespot’s original founders.

ReviewMeta Isn’t a Backup Either

Many guides still casually list ReviewMeta as a Fakespot alternative, but that’s now outdated advice. The site has had no active maintainer since its founder stepped away in 2021, and as of September 2026 it returns a server error entirely rather than analyzing anything. Even when it was running, ReviewMeta never claimed to identify individual fake reviews with certainty, it re-scored a product’s reviews and threw out the ones its model considered unreliable, an approach that critics noted could be overly aggressive, discarding real reviews along with fake ones.

What Actually Works Now

illustration showing Fakespot and ReviewMeta marked discontinued while NullFake is marked still working

NullFake is the one major checker still functioning, it currently ranks as the top real result for Amazon review-checking searches and responds normally when tested directly. On Amazon’s own side, the company says it has used a mix of machine learning models, large language models combined with natural language processing, and deep graph neural networks to identify relationships between bad actors, blocking more than 200 million suspected fake reviews across its stores in 2022 alone. That is a real, substantial detection effort, but it’s Amazon’s own internal system, not something a shopper can point at a specific listing and get an independent second opinion from the way Fakespot once let you.

Why AI-Written Fake Reviews Are Harder to Catch Than the Old Kind

comparing an old-style fake amazon reviews with obvious red flags to a smooth AI-written fake amazon reviews with no obvious tells

The classic advice for spotting a fake review, watch for bad grammar, over-the-top praise, generic phrasing, was built around how humans write fake reviews when they’re rushing through dozens of them for a review farm. Research comparing AI-generated fake reviews to both real reviews and old-style human fakes found something uncomfortable: AI-written fakes are actually more readable and show less exaggeration and less carelessness than genuine reviews do. In plain terms, the checklist millions of people still rely on was built for a threat that AI has already moved past. This is the same core problem that shows up whenever an AI-based judge is asked to catch AI-generated content, whether that’s a school trying to tell if an essay was AI-written or a shopper trying to tell if a review was.

The FTC Rule That’s Supposed to Stop This

The Federal Trade Commission’s final rule banning fake and AI-generated consumer reviews took effect on October 21, 2024. It specifically prohibits businesses from creating, buying, or knowingly distributing reviews written by someone who doesn’t exist or never actually used the product, language written directly with AI-generated fakes in mind, not just traditional paid reviews. Violators can now face civil penalties of close to $52,000 per violation. The rule gives the FTC real enforcement teeth, but it targets the businesses paying for fake reviews, it doesn’t give shoppers a tool to identify one on sight.

How to Spot Fake Amazon Reviews Yourself

  • Check for a “Verified Purchase” label first, it doesn’t guarantee authenticity, but its absence on a glowing review is worth noticing.
  • Look at the reviewer’s full history rather than just the one review, an account that only ever posts five-star reviews across unrelated products is a stronger signal than any single review’s wording.
  • Watch for a cluster of reviews posted within the same short window, coordinated review campaigns often land in bursts rather than trickling in naturally.
  • Don’t rely on grammar or tone alone anymore, AI-written fakes are specifically smoother and more polished than that old advice assumes.
  • Cross-check a suspicious listing with NullFake directly, since it’s currently the only independent, still-functioning tool built for exactly this.

Frequently Asked Questions

What happened to Fakespot?

Mozilla, which acquired Fakespot in 2023, permanently shut it down on July 1, 2025, stating the product didn’t fit a sustainable business model. No successor was named, and there has been no revival as of mid-2026.

Is ReviewMeta still working?

No. ReviewMeta has had no active maintainer since 2021, and as of September 2026 the site returns a server error rather than functioning at all.

What can I use instead of Fakespot?

NullFake is currently the main independent tool still functioning for checking Amazon reviews. Amazon also runs its own internal AI detection system, though it isn’t available as a public checker you can point at a specific listing yourself.

Is it illegal to buy or sell fake amazon reviews now?

Yes. The FTC’s final rule, in effect since October 21, 2024, bans businesses from creating, buying, or knowingly distributing fake or AI-generated reviews, with civil penalties of close to $52,000 per violation.

Can you tell if a review was written by AI?

Not reliably by reading alone. Research shows AI-generated fake reviews are actually smoother and less exaggerated than both real reviews and old-style human-written fakes, which is exactly why grammar and tone are no longer good indicators.

Does Amazon actually remove fake reviews?

Amazon says it blocked more than 200 million suspected fake reviews across its stores in 2022 using machine learning, large language models, and graph-based analysis of bad-actor networks, though it doesn’t publish a way for individual shoppers to check a specific listing themselves.

How can I report a fake review on Amazon?

Amazon allows shoppers to report reviews directly from the product page, and the FTC also accepts consumer complaints about fake reviews and testimonials at reportfraud.ftc.gov.

Is NullFake safe and accurate to use?

NullFake is currently the most established independent review checker still operating, responding normally and ranking as the top real result for review-checking searches, though no available tool, including AI-based ones, can catch every AI-written fake review with certainty.