Fake Review Checker

Each review is scored on eight wording patterns that turn up again and again in bought reviews:

• Praise density — how much of the text is “amazing”, “life-changing”, “must buy”, “best ever”.
• Shouting — exclamation marks and ALL-CAPS words per review.
• Concrete detail — measurements, prices, dates, a fault, a return, a use case. This raises the score.
• Length — under a dozen words, or a 400-word essay with no rough edges.
• Name stuffing — the full product name repeated so the review ranks in search.
• Incentive wording — “received this product for free”, “in exchange for”, “at a discounted price”.
• First-person balance — a review with no “I” is describing a product, not an experience.
• Marketing polish — clean copy with no contractions reads like it was written to a brief.

Everything runs in your browser. No review text leaves your device.

Red is superlative wording, orange is incentive or urgency wording, yellow is shouting, and green is the concrete detail that pushes a review closer to genuine. A review with a lot of red and no green is the classic paid-review shape.

• Open the reviewer profile. Dozens of five-star reviews across unrelated products, all posted in one week, is the strongest signal there is.
• Check “Verified Purchase”. It is not a guarantee — sellers refund buyers off-platform — but its absence on a glowing review matters.
• Sort by most recent and look at the dates. Forty reviews in three days after months of silence means a campaign.
• Look for photos and video. Not stock shots: a badly lit picture of the thing on someone’s kitchen counter.
• Read the one and two-star reviews first. They are the ones nobody pays for, and they tell you what actually breaks.
• Watch for a product name change. A listing with reviews about a phone case and a product page selling a hair dryer has been recycled.
• Read the ratings graph, not the average. A healthy product has a few one and two-star bars. A wall of five with nothing underneath it has usually been managed.
• Check the “most helpful” sort with suspicion. Helpful votes can be bought — Amazon has sued brokers who sold them — so the review sitting at the top is not automatically the most trusted one.

Press Load example above and three blocks get scored separately. They are written to show three different shapes:

• Review 1 scores low.“Absolutely amazing”, “BEST purchase”, “highly recommend”, “Five stars”, three exclamation marks, and the full product name written out three times in four sentences. Nothing in it could only be said by someone who owns the thing. That is the bought-review shape.
• Review 2 scores well. A month, a price-free but dated purchase, a 900W motor, a gasket that leaked after three weeks, a support email answered in five days, and a wish for a glass jug. It is a positive review that still complains. Paid writers rarely bother with the complaint.
• Review 3 is too short to call. Eleven words of nothing. On its own it means little; a page made of forty of them, all posted the same week, means a lot.

The lesson is the contrast. Paste five or six reviews from the same listing at once and the batch summary tells you more than any single score does.

• Trusting the star average. It is the number sellers work hardest to move, so it is the least informative thing on the page.
• Assuming long means honest. Review farms pay per word now. A 500-word essay with headings and a pros-and-cons list was written to a brief.
• Assuming broken English means fake. Plenty of real buyers write in a second language, and plenty of paid reviews are flawless. Grammar is not the signal; detail is.
• Treating Verified Purchase as proof. The buyer bought it. They may have been refunded by the seller afterwards through PayPal or a gift card.
• Acting on one flag. Two exclamation marks is a person being pleased. Two exclamation marks plus no detail plus a brand-new profile plus four identical reviews the same day is a campaign.
• Ignoring the negative reviews because they are “unfair”. The one-star pile is where you learn what breaks and how returns actually go.

For years the answer to “what is the best fake review checker” was one of two names, and both are gone:

• Fakespot graded a listing A to F. Mozilla bought it in 2023, folded it into the Firefox Review Checker, and shut the whole thing down in July 2025.
• ReviewMeta recalculated a product’s star rating with the suspicious reviews stripped out. It stopped being maintained and is no longer a check you can rely on.

Both died the same way. Each one had to fetch every review, reviewer profile and date from the product page, and Amazon throttled that traffic hard. Any tool that still promises one-click grading from a URL is either paying for scraping at a price it will not sustain, or showing you a cached grade. Check when it last worked before you trust the letter.

• A Chrome extension reads the listing you are standing on, so it can see dates, profiles and verified badges that a paste box cannot. The price is a permission to read your shopping pages, and it breaks whenever the site changes its markup. If you install one, check who runs it and what it does with the browsing data.
• A web checker like this one sees only the words you paste. Narrower, but it has no account, no scraping to break, no reading of anything you did not hand it, and it works the same on an Amazon, Google, Yelp or Flipkart review.
• Neither replaces two minutes of looking.Open one glowing reviewer’s profile, sort the page by most recent, and read the two-star reviews. That beats any score, including this one.

The sensible combination: a tool for the wording, the listing itself for the dates and profiles, and a search outside the platform — a forum thread or a video of someone unboxing it — for anything expensive.

• Amazon. The scale is the story: Amazon says it blocked over 275 million suspicious reviews in 2024, and it has sued review brokers repeatedly, including a joint case with Google in October 2024 against a site selling fake reviews for both platforms. What still slips through usually arrives through private groups that offer a refund after a five-star post. Watch for a burst of reviews dated within days of each other and for reviews describing a different product than the one on sale.
• Google.Google says it blocked 240 million policy-violating reviews in 2024. Local business reviews are short, so the text gives you less — lean on the profile. A “Local Guide” badge is not a credential; farmed accounts earn it cheaply. A reviewer who rated a café in one city and a plumber in another on the same afternoon was not a customer of either.
• Trustpilot. Trustpilot removed 4.5 million fake reviews in 2024, 7.4% of everything submitted, with 90% caught automatically. That also means millions were submitted. Treat a company page with a sudden run of five-star one-liners the same way you would treat one on Amazon, and read what the business replies to complaints.
• Yelp.Yelp hides reviews its filter does not trust behind a “not currently recommended” link at the bottom of the page. Open it. Sometimes the honest reviews are the ones sitting down there.
• eBay. Feedback rather than reviews, and the percentage hides the recent trend. Sort by the last month, read the neutrals, and check whether the seller has changed what they sell.
• Flipkart and Indian listings. Same wording patterns, plus a local habit of one-line five-star ratings with no text at all. A page where most ratings carry no review is worth a second look.

Buying reviews is no longer only against platform policy. Three rules changed in the last few years:

• United States. The FTC’s rule on consumer reviews and testimonials took effect on 21 October 2024. It bans reviews written by people who never used the product, including generated ones, payment conditioned on writing a positive or negative review, reviews by company insiders passed off as customers, and buying fake followers. Civil penalties run to over $50,000 per violation.
• United Kingdom. The Digital Markets, Competition and Consumers Act added fake review provisions, putting the duty on platforms to take reasonable steps against them.
• India. The Bureau of Indian Standards published IS 19000:2022 for collecting, moderating and publishing online consumer reviews, in force since November 2022. It is voluntary, but the Central Consumer Protection Authority can treat paid reviews as an unfair trade practice under the Consumer Protection Act.

None of this helps you at the moment of buying. It does mean a report is worth filing, and that a brand caught running a review campaign now has something real to lose.