Can You Trust Amazon Reviews? These Tips Will Help You Spot the Fakes

The internet is a wonderful reping for new products, distinguishing between authentic feedback and fabricated reviews can be challenging, especially with the increasing prevalence of artificial intelligence

In 2024, the FTC implemented a ban on companies buying or selling reviews, as well as the use of employees to generate fake feedback. However, these regulations do not guarantee you won’t be misled. If you struggle to identify genuine reviews, it is wise to consult professional, comprehensive reviews from trusted sources across various categories before making a tech purchase. If you are browsing Amazon during events like Prime Day and want to verify a product’s legitimacy, there are several indicators that a review may not be authentic.

After years of monitoring online shopping trends, I have identified several recurring patterns in fraudulent reviews. While browsing Amazon, keep an eye out for the following red flags:

Extremely brief five-star or one-star reviews that lack necessary context.

Feedback that contains poor grammar or unnatural phrasing. Some vendors outakers

Reviews that promote a competing product should be disregarded, as these are often posted by rival vendors attempting to redirect you to their own listings under false pretenses.

If you encounter a product page with multiple similar reviews posted on the same date, the activity is likely suspicious.

Overly staged images, high-production videos, or the use of stock photography can indicate that a reviewer was compensated for their submission.

If a listing has a disproportionately low number of reviews compared to similar items, the entire product page could be a scam.

Check the reviewer’s name. If it appears overly generic or consists of a random sequence of letters and numbers, it may be a sign of a fake account.

Reviews lacking a “Verified Purchase” badge should be viewed with skepticism. However, be aware that some schemes compensate reviewers for making actual purchases, so remain cautious.

It is possible that AI tools are being utilized to mass-produce reviews on e-commerce platforms like Amazon. Chatbots attempt to mimic human writing, which often results in awkward sentence structures and nonsensical rambling. To distinguish between AI and a human with poor writing skills, you can run suspicious text through one of the many available platforms designed to identify AI-generated content.

In my own testing, I compared human-written stories with AI-generated versions using tools like GPTZero and ZeroGPT. These websites allow you to paste text, upload documents, or provide URLs for analysis. The software then assigns a score based on the likelihood of human or AI authorship. While these tools proved accurate, it is important to note that results can be less reliable for shorter submissions, such as typical online reviews.

Review checkers can help filter out questionable feedback on sites like Amazon and Best Buy, offering a more accurate assessment of a listing. Although popular tools like Fakespot, ReviewMeta, and TheReviewIndex have disappeared over the last year—with TheReviewIndex citing “Amazon’s policy changes”—you still have options.

Null Fake is an AI-driven checker that evaluates Amazon reviews, assigns a reliability grade, and adjusts ratings by filtering out suspicious content. In my testing with an Amazon Echo Dot Max listing, I submitted the URL and received a report along with an AI-generated summary. The tool identified that 15% of the reviews were fake, which adjusted the original 5.0 rating down to 4.60 and assigned the listing a B grade.

Another tool, FakeFind, also employs AI to analyze listing reviews for authenticity, quality, and pricing. It provides a numerical grade and adjusts the user rating accordingly. Using the same test link, it gave the Echo Dot Max an 8 out of 10 and adjusted the rating from 4.3 to 4.2.

If you encounter a review you suspect is fraudulent, you can report it to Amazon to be flagged for investigation and potential removal. Click the “Report” button beneath the review, select “Fake” to categorize it as “paid for, inauthentic,” and click “Submit.” You may also choose to report the fraudulent review directly to the FTC.