Free Tool

Free Fake Review Checker (Amazon, Google, Trustpilot)

Paste any review (Amazon, Google, Trustpilot) and get a fakeness score based on 8 signals from academic research. Spots generic praise, extreme language, missing specifics.
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5x more reviews
4.9 ★ for active stores
One-click setup
0
Fake risk

Likely genuine

The review shows specific details, balanced language, and no red flags commonly found in fake reviews.

How this works: This tool applies 8 heuristic checks adapted from academic fake-review research (Ott et al., 2011 & Fakespot's public patents). It doesn't connect to the review platform — paste text only. Accurate as a first screen, not as legal proof.

Spot fake reviews with 8 academic signals

Starter
0-250 orders /mo
+0.15€ per extra order
59€
per month
Pro plan includes:
WhatsApp, SMS, Email
Basic AI Analysis
Trustpilot Auto-Matching Reviews
Custom branding
Slack & discord notifications
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Growth
250-2500 orders /mo
+0.10€ per extra order
119€
per month
⃪ All Starter features
Upsell automation
AI Analysis & insights
Automatic review reminder
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Unlimited
Unlimited orders /mo
299€
per month
⃪ All growth features +
Dedicated Success Manager
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How it Works

Spot fake reviews with 8 academic signals

Our checker applies 8 heuristics adapted from <em>Finding Deceptive Opinion Spam by Any Stretch of the Imagination</em> (Ott et al., 2011) plus Fakespot's published patent claims. You get a 0-100 fakeness score and per-signal explanation.

Pick the platform + paste the review

Select Amazon, Google Business, Trustpilot, or Any. Some platforms have specific patterns we weight differently (e.g. "verified purchase" mentions, extortion language).

Click Check

Runs fully client-side in milliseconds. We check 8 signals: review length, generic praise density, exclamation marks, first-person usage, specific details, extreme language, sensory words, and platform-specific patterns.

Read the verdict + per-signal breakdown

You get a fake-risk gauge (0-100), a verdict (Likely genuine → Very likely fake), and each triggered signal explained, so you know why the review looks suspicious, not just that it does.

FAQ

Your questions, answered.

How accurate is this compared to Fakespot or ReviewMeta?
Those tools also look at reviewer history, posting patterns, and product context. Data we don't have access to from pasted text alone. Expect ~75% accuracy on text-only heuristics vs ~90% for full-data tools. Good first filter, not legal proof.
Can I use this to prove a review is fake and get it removed?
No. A "Very likely fake" verdict is a starting point, not evidence. To report fake reviews, you need platform-specific abuse forms + context (e.g. competitor IP, impossible purchase timing). Reviewz.ai automates these reports for monitored businesses.
Does this detect AI-generated reviews (ChatGPT-written)?
Partially. LLM reviews often trigger "generic praise" and "no specific details" signals. But modern models can easily add fake specifics. For AI-detection specifically, the tool is ~60% accurate. Add a reviewer-history check for better results.
How do I monitor thousands of reviews automatically?
Reviewz.ai watches every new review on Trustpilot, Google, and Judge.me in real time, flags suspicious patterns, auto-files abuse reports where applicable, and alerts you on Slack/email. The free tool is for spot-checks; the platform handles scale.