The business of fake reviews

Fraudulent customer reviews are a billion-dollar industry. On platforms like Amazon, but also in app stores and on sites like Booking.com, reviews are systematically bought and sold. The mechanisms behind it are surprisingly professional:

• Paid reviewers: Through Telegram groups, Facebook groups or specialized agencies, people are recruited to order a product, keep it for appearance’s sake and then leave a five-star review. A refund of the purchase price plus a small fee follows via PayPal or similar channels.
• Review swaps: Especially popular among smaller sellers – “I’ll give your product a glowing review if you do the same for mine.” Hard to prove because an actual purchase takes place.
• Mass-generated accounts: With AI-generated text and stolen or fabricated profiles, hundreds of reviews can be churned out in no time. Since ChatGPT and similar tools came along, the writing is far harder to distinguish from the real thing than it used to be.

How to spot fake reviews

There’s no bulletproof method – but there are some red flags worth knowing:

• Unnatural rating distribution: A product has almost nothing but five-star and one-star reviews, with barely anything in between? That points to purchased praise colliding with genuine complaints.
• Review clusters: If dozens of glowing reviews pop up within a few days and then nothing for weeks, a campaign was likely at work.
• Generic language: “Great product, highly recommend, fast shipping!” – reviews that could apply to virtually any product are suspect.
• Check the reviewer’s profile: Did the reviewer rate ten completely unrelated products on the same day – from a blender to a phone case – all with five stars? Time to be skeptical.
• No verified purchase badge: Not every unverified review is fake, but when you see a pattern of them, proceed with caution.

Helpful tools used to include services like ReviewMeta and Fakespot, which analyzed Amazon reviews and calculated an adjusted average rating. Emphasis on “used to” — both services have since been discontinued.

The problem with online “tests”

At least as problematic as fake customer reviews are the countless bogus review sites that show up in Google results. They carry titles like “Best Robot Vacuums 2026 – Top 10 Models Compared” and give the impression that someone actually put ten vacuums side by side and tested them.

The reality is different: the vast majority of these sites have never touched a single product. Instead, they summarize Amazon reviews, rewrite manufacturer specs and sprinkle in affiliate links. Every click on “Buy now on Amazon” earns the site owner a commission.

That’s not inherently wrong – affiliate marketing is a legitimate business model. It becomes a problem when a site creates the impression of a real, hands-on test where none ever took place. Some warning signs:

• No original photos: If the site uses nothing but manufacturer images or Amazon product photos, chances are nobody ever unboxed the product.
• No actual test methodology: Is there nothing about how the testing was done? No measurements, no personal impressions, no detail shots? Then there was no test.
• Shady site operators: No “About” page (or a shell company registered in the Cayman Islands), no identifiable editorial team, but dozens of “tests” across wildly different product categories.
• SEO-bait domain names: When the domain is something like “best-robot-vacuum-reviews-24.com,” it was created for the sole purpose of capturing search engine traffic.

Why the problem won’t go away

Amazon, Google and other platforms do fight against fake reviews and low-quality review sites. Amazon says it removed more than 200 million suspicious reviews in 2023 alone. Google penalizes sites with no genuine value in its search rankings. And yet: It’s not enough.

The reasons are structural:

• The financial incentives are enormous. For a third-party seller who climbs to page one of Amazon search results through fake reviews, that can mean hundreds of thousands of dollars in additional revenue. By comparison, the risk of getting caught is small.
• AI makes fakes cheaper and better. What used to be clunky text from review farms overseas is now fluent, natural-sounding prose that’s nearly indistinguishable from the real thing.
• The platforms have conflicting interests. Amazon earns a cut on every sale – including those driven by fake reviews. That limits how motivated they really are to find a squeaky-clean solution.
• Affiliate review sites fill a gap. Reputable testing organizations like Consumer Reports or Wirecutter can’t test every product. Fake-test sites rush into that gap – and as long as people Google before they buy, those sites will exist.

What actually helps

The best strategy is a mix of healthy skepticism and multiple sources:

• Use trustworthy review sources: Consumer Reports, Wirecutter, established tech publications with real editorial teams, YouTube channels where people visibly unbox and use products. It might cost a few bucks for a subscription – but it’s far more reliable than the third affiliate site on Google.
• Read the middle-of-the-road reviews: The three- and four-star reviews on Amazon are often the most honest. That’s where people who actually used the product write nuanced, balanced takes.
• Use common sense: A no-name product with a 4.8-star rating from 5,000 reviews that costs half as much as the name-brand competition? That should raise an eyebrow.
• Go straight to the manufacturer: The manufacturer’s own website, spec sheets and – if they exist – user forums often provide better information than any review site.

By the way: as a software maker, we know this problem from the other side too. Honest reviews of our products – whether positive or critical – are worth their weight in gold to us. Fake reviews distort the market for everyone: for buyers who end up with the wrong product and for companies that play by the rules.

Fake reviews and fake tests aren’t going anywhere anytime soon – the economic incentives are simply too large. But if you understand the mechanics and apply a few of the checks described above, you’ll fall for them far less often. Stay skeptical – your wallet will thank you.

Have you ever spotted an obvious fake review – or even fallen for one? Share your experience in the comments. The more we learn from each other, the harder we make it for the fakers.