Updated September 12, 2026: installed and tested ReviewLens, the strongest new entrant since the last update, and re-checked SeekShop. Also corrected a claim in the comparison section that ReviewLens has since made out of date.
Updated July 20, 2026: re-checked every tool's status, corrected the Firefox Review Checker timeline, refreshed the details below, and tested two new entrants (ReviewDetector and SeekShop) that didn't make the list.
If you're reading this, you probably got the same rude surprise as 10 million other people: Fakespot is dead, and your Amazon shopping just lost its safety net.
Fakespot shut down on July 1, 2025. No gradual sunset, no migration path, no "here's what to use instead." One day the extension worked, the next day it didn't. And now every product page on Amazon is back to being a trust-me-bro situation.
I spent the last nine months building a replacement. But before I pitch you on it, let me explain what actually happened, why the problem is worse than ever, and give you an honest look at every alternative out there, including the ones that aren't mine.
What happened to Fakespot
The short version: Mozilla acquired Fakespot in May 2023, built its technology into Firefox as "Review Checker," then shut the whole thing down two years later with a one-line explanation: it "didn't fit a model we could sustain." Review Checker went dark on June 10, 2025, and the extensions, apps, and website followed on July 1. More than 10 million people lost their protection overnight, and Mozilla named no successor. I wrote up the full story of what happened to Fakespot, with the complete timeline and why it isn't coming back.
(A correction, since I got this wrong in the original version of this post: Firefox users did not keep Review Checker. Mozilla shut it down three weeks before everything else. Switching browsers was never an escape hatch.)
If you want to skip ahead: SureVett is one of the alternatives covered below. Try it free, no signup, no tracking.
Add to Chrome — FreeWhy you still need a fake review checker
Some people hear "fake reviews" and think it's a minor nuisance. Maybe a few sketchy supplements with suspicious five-star ratings. The actual scale of the problem is staggering.
The financial damage is enormous. Consumer losses attributed to fake and misleading reviews hit $770.7 billion in 2025. Fake reviews don't just trick you into buying a bad product. They distort entire markets, burying legitimate sellers under mountains of manufactured praise for inferior knockoffs.
The FTC is finally taking this seriously. The FTC's Consumer Review Rule was finalized in October 2024, with enforcement beginning in December 2025. Violations carry penalties of up to $53,088 per instance. That's a meaningful deterrent, but enforcement takes time. The fraudsters know this. They're racing to extract as much value as possible before the regulatory net tightens.
AI-generated fakes are exploding. This is the part that worries me most. AI-generated fake reviews are growing at roughly 80% month-over-month. These aren't the broken-English, obviously-fake reviews from 2019. Modern AI-generated reviews read like they were written by a real person who actually used the product. They reference specific features, mention realistic timelines ("bought this three weeks ago"), and even include minor complaints to seem balanced.
The old heuristics (checking for weird grammar, looking for repeated phrases across reviews) don't work anymore. Detection now requires analyzing patterns across hundreds of reviews simultaneously: statistical distributions, timing anomalies, reviewer behavior clusters. That's not something you can do by skimming a product page.
The ground keeps shifting, too. A 2026 Amazon policy change is splitting reviews across product variants, which is why some products suddenly lost reviews overnight. And Fakespot isn't the only casualty of the past year: ReviewMeta has since gone dark too, which is a big part of why the replacement landscape feels so thin.
What to look for in a Fakespot replacement
Before we get into specific tools, here's what actually matters in a fake review detector:
Accuracy over everything. A tool that tells you every product is fine is worse than no tool at all. It creates false confidence. You want something that catches real manipulation and doesn't cry wolf on legitimate products.
Transparency. Fakespot's biggest weakness was always its black-box approach. It gave you a letter grade but rarely explained why. If a tool flags a product, you should be able to see the reasoning: which signals triggered the warning, what patterns it detected, and how confident it is.
Speed. If analysis takes 30 seconds, you won't use it. The tool needs to work fast enough that it doesn't interrupt your shopping flow.
Privacy. Your browsing history is valuable data. Some tools monetize it. Some tools inject affiliate links into your shopping experience without telling you. Read the privacy policy and check the permissions the extension requests.
Browser integration. Copy-pasting URLs into a website works in theory. In practice, nobody does it consistently. The best protection is automatic: it analyzes the page you're already looking at.
Platform coverage. Amazon is the biggest battlefield, but fake reviews exist on Walmart, Best Buy, Target, and everywhere else that accepts user reviews.
The alternatives, reviewed honestly
I tested every fake review detection tool I could find that's currently functional. The hands-on testing was in March 2026; I re-checked every tool's status for this July 2026 update. Here's what I found.
1. SureVett
SureVett is a Chrome extension that scores Amazon products on five review-trust signals and shows you an A–F grade with the reasoning behind every score.
Best for: transparency and explainability.
What it does well:
- Auto-analysis on every Amazon product page. No clicking, no copy-pasting. SureVett injects a trust badge next to the rating area and a full breakdown in the side panel.
- A–F grades with the reasoning shown. Every grade exposes the specific signals that contributed to the score: rating distribution (the J-curve test), review velocity, review count, seller trust (Amazon vs. FBA vs. third-party), and brand and product signals.
- The grading runs in your browser. The engine is statistical, not LLM-based, so there is no server round-trip in the grading path and the grade lands about two seconds after the page does. (There is no LLM in the grading path, and the extension does not claim otherwise.)
- Works on 17 Amazon country domains in 10 languages (added June 2026), including amazon.ca, .co.uk, .de, .fr, and .co.jp.
- Free, with no ads, no tracking, no affiliate links on Amazon. Monetization approach is documented in the privacy policy. SureVett does not rewrite your Amazon URLs to insert referral tags.
- Optional Google sign-in unlocks a shared analysis cache across users and syncs the price history SureVett quietly records for you. Sign-in is never required to use the trust grade.
Who built it: Built by Nathan Hart, a former AWS engineer who testified before the Department of Justice in a federal fraud case. The trust-verification background informs how SureVett evaluates review patterns.
Honest about limits: Currently Amazon-only at the content-script level (an iPhone app with a Safari extension is next). The grading engine is statistical heuristics, not review-text AI. AI-generated reviews in 2026 are harder to detect than they were in Fakespot's era, and SureVett surfaces signals rather than claiming perfect certainty.
SureVett is free, requires no signup, and works on Chrome, Brave, and Edge. If you want the standalone overview, here's the rundown of SureVett as a Fakespot alternative.
Disclosure: I built SureVett.
That is the case for the one I built. The other six are below, reviewed the same way.
Add to Chrome — Free2. RateBud
RateBud is the closest thing to a direct Fakespot replacement in terms of user experience, and it has the largest install base of the current crop of replacements (roughly a thousand Chrome users as of this July 2026 update). It supports 20+ Amazon country domains, provides trust scores with letter grades, and activates automatically on product pages. On the surface, it checks most of the boxes.
What it does well:
- Wide Amazon domain coverage (20+ country-specific stores)
- Familiar Fakespot-like interface with trust scores and letter grades
- Automatic activation on product pages
The problems:
RateBud has some credibility issues that you should know about.
Multiple Firefox add-on reviewers have flagged that RateBud's "Buy Now" button contains an undisclosed Amazon Associates affiliate tag. The extension is monetizing your purchases without telling you. This isn't illegal, but it's the kind of thing that should be disclosed upfront, especially for a tool that's supposed to help you trust what you see online.
There's also been documented activity of RateBud posting self-promotional recommendations on Reddit using what appear to be astroturfed accounts. Fake grassroots enthusiasm created by the tool's own team. One of the accounts had no post history except RateBud recommendations. A fake review detector using fake recommendations to promote itself. Let that sink in.
Chrome Web Store reviews consistently note that RateBud gives suspiciously similar scores to almost every product, typically hovering around 82 out of 100. If every product gets roughly the same score, the tool isn't actually differentiating between trustworthy and manipulated listings. That's a problem.
If you're weighing RateBud against SureVett specifically, I wrote a full RateBud vs. SureVett breakdown that goes deeper than this section can.
3. NullFake
NullFake is open source, which is a real positive for transparency. You can read the code, understand how it works, and verify that it's not doing anything shady with your data. That matters.
What it does well:
- Fully open source. Anyone can audit the analysis logic
- Provides letter grades with explanations
- Transparent about its methodology
- Under active development, with a Chrome extension, a Firefox version, and wide Amazon country-domain coverage
The problems:
In my testing, NullFake gave perfect scores to products with well-documented fake review problems. I tested it against products that Fakespot had previously flagged as heavily manipulated, and NullFake rated them as completely trustworthy. That's a serious accuracy concern.
NullFake also requires manual review extraction rather than doing it automatically. You need to copy review data and feed it to the tool yourself. This adds friction that makes consistent use unlikely for most people.
The user base is still small. That's not automatically a disqualifier, since every tool starts somewhere, but it means less community feedback on accuracy.
4. Savinoo
Savinoo (it was listed as "Savino" when I first wrote this; the product goes by Savinoo now) takes a different approach. Rather than being a pure fake review detector, it's more of a shopping assistant that includes review analysis as one feature among several. It helps you sort, filter, and compare Amazon products with a focus on finding the best deals.
What it does well:
- Good product comparison and sorting features
- Review analysis integrated into a broader shopping workflow
- Clean, well-designed interface
The problems:
Savinoo doesn't provide trust scores or letter grades in the way Fakespot did. Its review analysis is more of a supplementary feature than the core product. If you specifically need fake review detection, Savinoo is a nice-to-have but not a replacement.
It's also Amazon-only with no public roadmap for other platforms.
5. FakeFind
FakeFind is a website-based tool, no extension to install. (It briefly had a Chrome extension, but that was delisted from the Web Store in February 2026, so the website is the product.) You paste an Amazon URL, and it analyzes the reviews. The no-extension approach has a legitimate privacy advantage: since nothing runs in your browser, there's zero risk of the tool accessing your browsing data.
What it does well:
- No extension required means zero browser permissions
- Simple, straightforward interface
- No privacy concerns whatsoever
The problems:
The analysis is shallow. You get a basic pass/fail verdict without detailed reasoning. There's no explanation of which signals triggered the assessment, no confidence level, and no breakdown of individual review patterns.
The website-only approach also means no automation. You have to manually copy and paste every product URL you want to check. Most people will do this for one or two purchases and then forget about it. Consistent protection requires integration into your actual browsing workflow.
6. Buydit
Buydit takes the most creative approach on this list. Instead of analyzing Amazon reviews directly, it pulls real product discussions from Reddit. The theory is sound: Reddit discussions are harder to manipulate than Amazon reviews, and real users often share brutally honest opinions about products they've actually used.
What it does well:
- Sources opinions from a platform that's harder to game
- Real user discussions provide context that star ratings can't
- Often surfaces problems that Amazon reviews bury
The problems:
The obvious limitation: Buydit only works for products that people have actually discussed on Reddit. Niche products, new releases, and anything outside Reddit's demographic blind spots won't have relevant discussions. If you're buying a popular pair of headphones, Buydit is great. If you're buying a specific replacement part for your dishwasher, you'll get nothing.
It's also not really a fake review detector. It's a supplementary research tool. Valuable in combination with other approaches, but not a standalone replacement for Fakespot.
7. ChatGPT and manual methods
This is the "no tool required" option, and it's surprisingly effective for individual products. It works best if you already know how to spot the warning signs manually, so you can point the model at the patterns that matter.
Copy 20-30 reviews from a product page, paste them into ChatGPT (or Claude, or any capable LLM), and ask: "Analyze these reviews for signs of manipulation. Look for repetitive phrasing, unnatural language patterns, suspicious timing, and coordinated posting behavior."
What it does well:
- The best LLMs are good at spotting patterns humans miss
- No extension, no permissions, no trust required
- Works on any platform, any product category
- Free (within usage limits)
The problems:
There's no automation. You're manually copying reviews for every single product you consider buying. For a big-ticket purchase, that effort is worth it. For everyday shopping, nobody's going to do this consistently.
There's also no at-a-glance scoring. You get a paragraph of analysis, not a quick trust grade you can check in two seconds while browsing. The mental overhead is high enough that most people will skip it for anything under $50.
For important purchases (electronics, appliances, anything over a few hundred dollars), a manual LLM spot-check is the most thorough analysis you can get right now.
Other tools I tested but did not list
These kept appearing in "Fakespot alternative" roundups, so I put each through the same scrutiny as everything above. None earned a spot on the list. Here is what I found, so you know they were not overlooked.
ReviewLens
ReviewLens (reviewlense.com) is the most interesting tool I have tested since Fakespot closed, and the one I most wanted to like. It is a free Chrome extension, genuinely open source, covering Amazon, Walmart, eBay and Etsy, and it blends on-page review analysis with Reddit sentiment about the product. About 349 people use it weekly. That combination is closer to what Fakespot actually was than anything else on this page.
Credit where it is due, because most of this list fails these tests. Its permissions are the most restrained of any tool here: activeTab, storage and scripting, plus the retailer domains. It does not ask for your browsing history or your location, which is exactly the thing that stopped me installing SeekShop. There is no account, no subscription and no paid tier. The source is published. On paper this is how you would design it.
Then I installed it and ran five Amazon products through it. All five came back with the same flag: "No reviews were readable on this page to assess authenticity." Zero reviews parsed, on all five. Four of the five produced no grade at all, just a dash.
Method disclosure, because this is a serious claim: I tested in a clean, signed-out Chrome profile, which can differ from a logged-in browser. But I ran SureVett against the same five pages in the same browser minutes apart, and it read the star distribution on every one, so the review data was definitely present on those pages. The likely explanation is mundane and is the real risk with this whole category: the extension was last updated on June 11, 2026, and Amazon moves its markup. Review extraction is not a thing you build once.
The fifth product is the part that worries me. For the Audio-Technica ATH-M50X, a listing with roughly 33,000 Amazon reviews, ReviewLens still read zero of them, but Reddit had plenty to say, so it scored the product A 88 on Reddit sentiment alone and displayed a green "✓ ReviewLens-verified A grade" badge above a "Buy with confidence on Amazon" button. That button carries an affiliate tag (reviewlenseus-20), disclosed immediately underneath as "Amazon affiliate, we may earn a commission." In the code the badge fires on any score at or above 65.
To be fair about what that is and is not: it does not rewrite the page's existing Amazon links, which is the practice I criticise hardest above. It adds its own clearly labelled button. The disclosure is right there, not buried. But a tool whose stated job is detecting fake reviews should not print the word "verified" over a grade it computed without reading a single review, and it certainly should not attach a commission link to it. Those two things in combination are the reason it is not on the list.
One more thing, and I want to be careful with it. The site says "No account · No subscription · No data collected." The first two are true. The third is not quite. The extension sends three telemetry events to its own Cloudflare Worker: install (version and locale), first analysis, and analysis complete (platform, grade, and flag count). There is no product identity, no URL and no review text in any of them, and there is an opt-out flag in storage. Separately, and more substantially, Reddit searches are proxied through that same worker, which means the product you are looking at does leave your device. That is inherent to the feature rather than sneaky, and it is a reasonable design. It is just not "no data collected."
I will note that we made a version of the same mistake: the SureVett panel said analysis runs "entirely on your device" when the extension does send the product, grade and price to a shared database. We corrected that wording. The fix is cheap, and the claim matters more for tools in this category than in any other.
Verdict: the right architecture, and the only tool here approaching Fakespot's retailer coverage. Worth watching, and worth revisiting if review extraction starts working again. Today the core feature does not run on Amazon, and the affiliate "verified" badge on a dataless grade is a hard stop.
ReviewDetector
ReviewDetector (reviewdetector.ai) is a website rather than an extension: paste an Amazon product URL, wait about a minute, and get a letter grade with an AI-written breakdown across five dimensions. It's free, requires no signup, and its "Buy on Amazon" buttons carry an affiliate tag that is at least disclosed in the page footer, which is more than some tools manage.
The problem: the scores don't differentiate. I ran three products through it from opposite ends of the trust spectrum. A heavily reviewed Anker power bank (4.6 stars, 8,600+ reviews) scored C (60). A no-name earbud listing with a fake 90% "discount" and a Best Seller badge earned in a mis-shelved category scored C (55), nearly the same. And a LEGO botanical set with 24,000+ reviews at 4.9 stars, about the cleanest review profile on Amazon, scored worst of all three: D (50). Four of the five "analysis dimensions" came back word-for-word identical across these very different products, and the site's own recently-analyzed feed showed ten straight products graded B or C. A score that lands in the same narrow band for everything, and puts LEGO below alphabet-soup earbuds, is not measuring trust. It just looks like it is. If you read the RateBud section above, the pattern will sound familiar.
There is also no way to find out who runs it. The about page names no founders, no team, no company entity, no location. For a product whose entire pitch is "trust our judgment about trust," anonymity plus affiliate buy buttons is a pass for me.
SeekShop
SeekShop is a Chrome extension (274 weekly users as of September 2026, and last updated June 2, 2026) that aggregates opinions from Reddit, YouTube, and retailer pages into a single "SmartScore," and hunts coupon codes at checkout, in the Honey mold. Method disclosure: I evaluated its Web Store listing, permissions, and policies rather than running it day to day, because what I found stopped me at the front door.
Two things stopped me. First, it isn't a fake review detector. It's a review aggregator plus a coupon engine, which makes it a different product from everything above (its closest cousin on this list is Buydit). Second, the permissions: it asks for your location and your web history. A shopping tool can justify reading retailer pages; I can't think of a good reason a review aggregator needs your browsing history, and I'd want a clear answer from the developer before installing anything that asks for it. Monetization is coupons and affiliate commissions, disclosed on its site.
If the community-sourcing idea is what appeals to you, Buydit (above) is built around exactly that.
Side-by-side comparison
Here's how the extension-based tools stack up on the features that matter most:
| Feature | SureVett | Fakespot (discontinued) | RateBud | NullFake |
|---|---|---|---|---|
| Auto-analysis on page | Yes | Yes | Yes | No |
| Trust grades (A-F) | Yes | Yes | Yes | Yes |
| Shows reasoning | Yesevery score explained | No | Partial | Yes |
| Free | Yes | Yes | Yes | Yes |
| No affiliate links on Amazon | Yesno URL rewriting | Yes | No | Yes |
| Multi-platform | Chrome ✅ / iPhone soon | Chrome, Firefox, iOS | Chrome only | Chrome only |
| Open source | No | No | No | Yes |
| Active development | Yesthresholds tuned in 2026 | No | Yes | Yes |
A few things jump out from this table. No single tool covers everything, and multi-platform support is still thin across the board. One correction to what this section said until September 2026: I used to write that nobody had come close to Fakespot's Amazon, Walmart, Best Buy and eBay coverage. ReviewLens now covers Amazon, Walmart, eBay and Etsy, which is most of the way there, so the accurate statement is narrower: Best Buy remains unserved, and the tool that covers the most retailers currently cannot read Amazon reviews at all. ReviewLens is not in the table above, which compares the tools that made the list; it is written up in full further down.
If you want to go deeper on just the browser extensions, I broke those out in the Chrome-extension-specific comparison.
The "no affiliate links on Amazon" row is the one I'd weight heaviest. If a tool quietly rewrites your Amazon URLs to insert its referral tag, your interests and the tool's interests stop being aligned. A tool that earns more when you buy something has an incentive to downplay review manipulation. The issue isn't that a tool makes money. It's whether the user knows how.
The 2026 Amazon trust stack (what actually works)
No single tool perfectly replaces Fakespot in 2026. The shoppers who avoid the most bad purchases use a layered approach. Here is the stack I use, in order:
- Layer 1: Review trust analysis (SureVett). Instant on-page A–F trust grade with the reasoning shown. Disclosure: I built it. Use it (or something like it) as the first filter on every product page.
- Layer 2: Long-term ownership signal (Reddit). Search Google for
site:reddit.com "[product name]" long-term reviewor"[product name]" 6 months later. Real ownership reports catch defects that don't show up in launch-week reviews. - Layer 3: Price-history check (Keepa). Keepa shows whether today's "deal" is actually a discount and whether review counts spiked suspiciously around price changes (a common review-incentive pattern).
- Layer 4: Read the 1–3 star reviews first. Sort by lowest rating. If the negatives are all about real product flaws (battery, materials, durability), the product might still be worth buying. If they're all about late shipping or packaging, the product itself is probably fine.
This stack takes about 60–90 seconds for a careful purchase. Worth it for anything over $50.
So what should you actually use?
Here's my honest recommendation, bias acknowledged.
No single tool perfectly replaces Fakespot yet. Fakespot had ten years of development, millions of users providing implicit feedback, and Mozilla's engineering resources. It took a decade to build, and it's going to take time for any replacement to reach that level of maturity.
You can get close to Fakespot-level protection right now with a two-tool approach:
For everyday shopping, install SureVett. It runs automatically, gives you at-a-glance trust grades, and explains its reasoning. It's free to use, transparent about how it works and how it makes money, and under active development. Yes, I built it. And yes, I think it's the best option for daily use. But don't take my word for it. Install it, use it for a week, and see if the grades match your own instincts about which products look trustworthy.
For big purchases, do a manual ChatGPT spot-check. Before you buy anything over $100, spend two minutes copying reviews into an LLM and asking for a manipulation analysis. This catches things that automated tools might miss, especially for products in categories with sophisticated fake review operations.
Keep an eye on NullFake. The open source approach is valuable, and if the accuracy issues get resolved, it could become a strong option. Open source means community-driven improvement, which historically produces excellent software given enough time and contributors.
Be cautious with RateBud. The undisclosed affiliate monetization and the astroturfed Reddit promotion are red flags. A tool that isn't transparent about how it makes money probably isn't transparent about how it works, either.
You just read about 7 alternatives. SureVett is the one I built. Try it free, no signup, no tracking.
Add to Chrome — FreeThe bigger picture
Fakespot's shutdown exposed something uncomfortable: consumer protection tools that depend on a single company are fragile. Mozilla decided the economics didn't work, and 10 million users lost their protection overnight.
The FTC's enforcement actions are a step in the right direction, but regulation alone won't solve the problem. The fake review industry moves faster than any regulatory body can respond, and AI-generated fakes are making the arms race exponentially harder.
We need better tools, and we need them to be sustainable. That means tools that don't depend on venture capital funding cycles, that don't secretly monetize users to survive, and that are transparent enough for users to verify they actually work.
That's what I'm trying to build with SureVett. I might not get everything right on the first try. But the approach (five explainable trust signals, every score shown with its reasoning, privacy-first, free to use) is the right foundation.
The fake review problem isn't going away. If anything, it's accelerating. Whether you use SureVett or something else on this list, use something. Shopping without fake review protection in 2026 is like browsing the web without an ad blocker in 2015. You can do it, but you're making your life harder than it needs to be.