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Evaluate the authenticity of Amazon product reviews and the popularity of brands - shop smarter with AI-powered insights. unmess Product Trust Analyzer Shop smarter with AI-powered insights. Fake reviews and unknown brands can make online shopping feel like a gamble. The unmess Product Trust Analyzer helps you make better buying decisions by evaluating the authenticity of product reviews and the popularity of brand names directly on Amazon. What it does Review Authenticity Scoring When you view a product on Amazon, unmess analyses the customer reviews and assigns a trust score between 0 and 1. This score reflects how genuine and reliable the reviews are overall. It uses machine learning to detect suspicious patterns commonly found in fake or manipulated reviews. Brand Popularity Scoring The extension also checks how well-known the brand is within its product category. It then gives a brand popularity score between 0 and 1—helping you gauge the credibility of the seller behind the product. Why you should install it Detect fake or untrustworthy product reviews Quickly assess how established a brand is Make more confident and informed purchase decisions Works automatically while browsing Amazon Saves time by summarising credibility insights in one click How it works Just install the extension and browse Amazon as usual. On supported product pages, unmess quietly analyses the reviews and brand data in the background. It then displays simple, easy-to-understand scores in the extension popup—giving you insights in seconds, without interrupting your shopping experience.
Apr 11, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.