Fakespot Alternatives: What to Use Now That It's Gone

Fakespot shut down on July 1, 2025. For years it was the default answer to one question: are these Amazon reviews real? Millions of shoppers ran a product through it before they bought. Then Mozilla, which owned it, turned it off. The built-in Firefox Review Checker went first, on June 10, 2025. The standalone extension, apps, and website followed three weeks later. The people who relied on it call the removal a loss with no viable alternative.

This page is for them. It covers what Fakespot did, why it died, and what works now. It includes free tools, a manual method that needs no tool at all, and an honest look at where each option fits.

What Fakespot Did

Fakespot launched in 2016. It scanned the reviews on an Amazon product page and looked for signs of manipulation: repeated phrasing, thin reviewer histories, and odd bursts of activity. It turned that read into a single letter grade from A to F. An A meant the reviews looked reliable. An F meant too few of them could be trusted.

The grade was the whole appeal. A shopper did not need to read a methodology. One letter, one glance, one decision. Mozilla bought Fakespot on May 2, 2023, and built the engine into Firefox as Review Checker. It shipped to every Firefox user in November 2023, covering Amazon, Best Buy, and Walmart. For eighteen months, fake-review checking was a native browser feature.

Why Fakespot Died

Two reasons, and neither was that the tool was bad.

First, the business model. Fakespot was a free browser extension. Free extensions carry a cost and earn little. Mozilla acquired it, ran it for two years, then folded it into a broader wind-down of side projects. When the parent company changed direction, the tool went with it. Users had no say and no real warning.

Second, the detection approach aged. The A-to-F grade read the text on one retailer's page. That worked when fake reviews were clumsy and machine-written. Modern incentivized reviews are written by real people, paid or rewarded through private groups, and posted from verified-purchase accounts. They read like any honest review because a human wrote them. Text-pattern scoring on a single page cannot catch what looks real on that page.

There was a third, quieter problem. A single grade has no recourse. A product could earn an F from a pattern the tool misread, and the seller had no way to see why or contest it. Shoppers, meanwhile, learned that near-identical products sometimes drew different grades. A number with no visible reasoning is hard to trust once it slips even once.

What to Look for in a Replacement

Every tool below answers the same question in a different way. Before you pick one, these are the questions worth asking of any of them. They are also the questions the next tool's marketing will not answer for you.

1. Does it show its work? A single grade or score hides its reasoning. A tool that links each finding to the review or thread it came from lets you judge the evidence yourself.
2. Can it handle modern incentivized reviews? A tool that only reads the text on one Amazon page inherits Fakespot's blind spot. A tool that checks whether a claim holds up in other places, like Reddit or YouTube, is harder to fool.
3. How many reviews does it read? Amazon shows only a slice of a product's reviews, often a few hundred at most. Ask whether the tool reads what is visible or claims more than the page can give it.
4. Will it still exist next year? Three of the tools people recommend for this job are already dead or frozen. Ask how the tool pays for itself. A free extension with no revenue is a tool on borrowed time.
5. Does it have a conflict of interest? If a tool earns a commission when you buy, its rating is not neutral. Affiliate links and ad revenue both pull against an honest score.
6. What happens to your data? Check what the tool reads, what it stores, and for how long. A privacy-focused tool says so plainly and keeps little.

No single tool below wins every one of these. The point is to know which ones you care about before you install anything.

The Replacement Options

Here are the tools shoppers reach for now, plus the option of using none. Each gets a fair summary, including what it does well and where it stops.

Review Radar

Review Radar, built by Jolly Good Apps, is the closest thing to a direct Fakespot successor. It is a free browser extension that scores each review on a product page instead of grading the product as a whole. Every review gets a green, yellow, or red trust badge and a plain label, and the tool computes an adjusted star rating that discounts the reviews it doubts. It runs on more than twenty Amazon marketplaces and reads reviews in their own language. The free tier covers a hundred review scans a month. It is a small, actively maintained project, so independent testing of its accuracy is thin so far. Per-review scoring is a real step past the single grade.

RateBud

RateBud is free with no signup, available as a website and browser extensions for Chrome and Firefox. It studies review patterns like posting speed and wording, then shows a trust score and an A-to-F grade right on the Amazon page. It covers Amazon only. Its headline accuracy and user numbers are self-reported and do not match its public store listings, so read the marketing with care. If you liked Fakespot's one-glance grade, RateBud is the nearest match to that feel.

SeekShop

SeekShop takes a different route. Instead of re-scoring Amazon's own reviews, it reads the conversation around a product across Reddit, YouTube, retailer pages, and expert sources. It rolls that into one number it calls a SmartScore. It works on Amazon and a wide range of other stores, and it is free. The reasoning behind the SmartScore is described in marketing terms, not documented in detail, and the user base is still small. Its core idea, that off-Amazon talk is harder to fake at scale, is sound and worth knowing about.

TheReviewIndex

TheReviewIndex earns a mention because people still search for it, but it is gone. It summarized reviews by feature, showing the positive and negative share for things like battery or comfort, and flagged spam with a quality score. In the first half of 2026 it shut down, citing Amazon policy changes that cut off the review data it depended on. The site now shows a permanent-closure notice. It is a fourth data point in the same pattern: a useful checker that could not outlast its funding or its access to the data.

DecodeIQ Amazon Review Analyzer

DecodeIQ built a free Amazon Review Analyzer that answers a different question. It reads up to a hundred live Amazon reviews. From them it builds a trust score on four signals: verified-purchase share, rating-versus-text disagreement, suspicious bursts, and repeated reviewer patterns. It also does something the others do not. It extracts what buyers say in their own words, the criteria they weigh and the objections they raise, and shows the real quote behind each one. Those quotes are the point. You see the source, not just a number.

Its limits are worth stating plainly. The free tool reads Amazon reviews only. The trust score is an estimate, not a verdict, and no tool can label a single review as fake with certainty. Cross-network validation catches a fake Amazon review by checking whether the same signal holds on Reddit and YouTube. That runs in the full DecodeIQ platform, a paid product built for Amazon sellers. The analyzer is funded by that platform, so it carries no ads and no affiliate links, and it does not vanish when a side project gets cut. It reads public reviews, needs no account, and stores the analysis it shows you rather than the raw review feed.

Use No Tool at All

You do not need any tool to catch the most common fake-review patterns. Sellers who run manipulation campaigns tend to leave the same fingerprints. Check these five before you trust a rating:

1. A burst of reviews on the same day or two. Real reviews trickle in over weeks. A cluster in a short window suggests a coordinated push.
2. Generic five-star text. A line like "great product, works as described" says nothing a real owner would bother to write. Look for specifics.
3. The same phrasing across different reviewers. When several reviews echo the same odd wording, they likely came from the same script.
4. Few photos for the review count. Real buyers post pictures. Hundreds of reviews with almost no customer photos is worth a second look.
5. A short life with a big count. A product listed two months ago with five hundred reviews did not earn them the slow way.

None of these is proof on its own. Two or three together are a reason to slow down. This is the method many careful shoppers already use, and it costs nothing.

Who Each Option Fits

If you want the closest feel to old Fakespot, try RateBud for its at-a-glance grade or Review Radar for a more careful per-review read.

If you shop across many stores and want the view from outside Amazon, SeekShop fits.

If you sell on Amazon and want to know what buyers say about products like yours, the DecodeIQ Amazon Review Analyzer is built for that. The seller platform goes further.

If you want no tool and no account, the five-signal check above will carry you most of the way.

One lesson runs through all of it. Fakespot, ReviewMeta, and TheReviewIndex were all good tools that people trusted. All three are now gone or frozen. When you pick the next one, ask how it stays alive, and keep the manual method in your back pocket. That one cannot be shut down.