AI Detection

Detect Fake Amazon Reviews

Shopping Trust Guard uses AI and statistical analysis to identify review patterns that may indicate manipulation — helping you look beyond the star rating.

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How Fake Reviews Work on Amazon

Fake reviews are a well-documented problem on Amazon. Sellers and brands use various tactics to inflate ratings: paying for positive reviews, offering discounts or free products in exchange for 5-star feedback, using review farms to generate bulk reviews, and even leaving negative reviews on competitors' products. The FTC has taken enforcement action against multiple companies for these practices.

What STG's Fake Review Detector Looks For

Unnatural Rating Distributions

Real products tend to have a mix of ratings — some 5-star, some 3-star, some 1-star. A product with hundreds of reviews where 95% are 5-star and almost none are critical can be a sign of manipulated feedback. STG checks whether the distribution looks natural.

Review Burst Detection

Authentic products accumulate reviews gradually as customers buy and use them over time. A sudden spike of dozens or hundreds of reviews within a few days — especially around a product launch — is a classic sign of a coordinated review campaign.

Reviewer Behavior Patterns

Some review farms use accounts that only review products from specific sellers, or that leave only 5-star reviews across many products. STG's analysis can surface these patterns as risk signals.

AI Review Summarization

Rather than just running statistical tests, STG's AI reads through the available reviews and produces a summary of the key findings — including potential fraud risks, unusual patterns, and red flags.

Rating vs. Text Mismatch

Sometimes a 5-star rating comes with review text describing problems. This can happen when a reviewer was incentivized to leave 5 stars but wrote honestly. STG's AI catches these inconsistencies.

Incentivized Review Signals

Reviews mentioning free products or discounts may be incentivized. While Amazon requires disclosure, not all reviewers comply. STG factors these signals into the risk assessment.

Limitations

No tool can definitively label every individual review as "fake" or "real." Fake review detection is about surfacing risk signals and patterns, not providing certainty. STG's analysis is a decision-support tool — it helps you see beyond the star rating and make a more informed choice. Always combine the analysis with your own research and judgment.

Fakespot and ReviewMeta Are Gone

Mozilla shut down Fakespot on July 1, 2025. ReviewMeta went offline in early 2026. If you were using either tool to check Amazon reviews, Shopping Trust Guard offers a modern alternative with AI-powered analysis, seller trust verification, and price history tracking in one extension.

Fakespot Alternative

How STG compares to Fakespot and what it offers as a replacement.

ReviewMeta Alternative

How STG compares to ReviewMeta and what it offers as a replacement.

Related Tools

Amazon Review Checker

Full review analysis with Trust Score and detailed breakdown.

Amazon Seller Checker

Verify seller trust, age, and reputation before buying.

How It Works

Understand the full analysis pipeline from data to Trust Score.

Start checking Amazon products today

Install Shopping Trust Guard for free and get 20 product checks per month — no credit card required.

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Shopping Trust Guard is not affiliated with Amazon. Trust Scores are supplementary risk assessments based on publicly available data and do not guarantee product safety, authenticity, or value.