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Analyze Fake Reviews and sort Amazon products based on ratings, reviews, and value metrics. Amazon Fake Review Checker – Savinoo This version is fully stable for Amazon.com (US). The extension also supports other Amazon marketplaces, but those versions are still in beta. I am continuously working to improve their stability and performance. Savinoo is a Chrome extension that helps you evaluate Amazon products by analyzing review patterns, ratings, prices, discounts, and other product signals. Instead of relying on star ratings alone, Savinoo helps you identify potentially suspicious review activity and compare products using multiple useful metrics. 🔍 Review Authenticity Analysis Savinoo analyzes review patterns and activity to identify signals that may indicate suspicious or manipulated feedback. It can help highlight patterns associated with: Unusual review activity Potential bot-generated reviews Review bombing Suspicious rating patterns Other unusual review behavior Savinoo provides analysis signals to help you make more informed purchasing decisions. Results are indicators, not a guarantee that a specific review is genuine or fake. Supports Amazon.com (US) only 📩 Developer Questions, feedback, or suggestions? orgbuit@gmail.com ℹ️ Affiliate Disclosure Savinoo may include affiliate links to support continued development. Affiliate links do not add any extra cost to you. You can also disable the Savinoo bubble button if you prefer a cleaner Amazon browsing experience.
Oct 28, 2026
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.