AutoShack Front Brake Rotors Ceramic Brake Pads | Replacement for 2006-2008 Toyota RAV4 2012-2018 Prius V 2008-2015 Scion xB 2010-2012 Lexus HS250h 1.8L 2.4L 4WD FWD | 6-PC Brake Kit

AutoShack Front Brake Rotors Ceramic Brake Pads | Replacement for 2006-2008 Toyota RAV4 2012-2018 Prius V 2008-2015 Scion xB 2010-2012 Lexus HS250h 1.8L 2.4L 4WD FWD | 6-PC Brake Kit

ASIN: B08D7W4MZN
Analysis Date: Nov 9, 2025 (re-analyzed Nov 9, 2025)

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.88
Original Rating
4.30
Adjusted Rating

Analysis Summary

This product shows mixed signals with some legitimate patterns but also several concerning elements. The reviews are overwhelmingly positive (all 4-5 stars) with no critical feedback, which is unusual for most products. The text analysis reveals repetitive language patterns focusing on 'good product' and 'good price' across multiple reviews. However, the presence of different languages (English, French, Spanish) and specific product mentions (Toyota RAV 4) suggests some genuine diversity. The reviews are quite brief and formulaic, lacking detailed usage experiences or specific product features. The verification rate appears normal but the content patterns raise moderate concerns about potential review manipulation.

Review Statistics

17
Total Reviews on Amazon
-0.58
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade C mean?

This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.

Adjusted Rating Explained

The adjusted rating (4.30 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.88 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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