GOOACC 5 PCS Nylon Auto Trim Removal Tool Kit No-Scratch Removal Tool Kit for Car Panel & Audio Dashboard Dismantle Red

GOOACC 5 PCS Nylon Auto Trim Removal Tool Kit No-Scratch Removal Tool Kit for Car Panel & Audio Dashboard Dismantle Red

ASIN: B0B6W1MRB2
Analysis Date: Nov 5, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.80
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variation, specific usage scenarios (Subaru Forrester, F150, shower drain), and some critical reviews (3-star with tool breakage). However, concerning patterns include: extremely high 5-star concentration (12/15 reviews), repetitive phrasing across reviews ('trim removal tools', 'different assortments'), and several reviews with generic praise lacking specific details. The duplicate review (R3BCRAZ83UGFJQ appears twice) is particularly suspicious. The non-English reviews (French and Spanish) while potentially legitimate, follow the same overly positive pattern. The overall distribution suggests some organic reviews mixed with potentially incentivized or artificial positive reviews.

Review Statistics

18,396
Total Reviews on Amazon
-0.70
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 (4.10 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 (4.80 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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