GQUEEN Classic Horn Rimmed Semi Rimless Polarized Sunglasses for Men Women GQO6

GQUEEN Classic Horn Rimmed Semi Rimless Polarized Sunglasses for Men Women GQO6

ASIN: B089G6J6K5
Analysis Date: Nov 7, 2025 (re-analyzed Nov 7, 2025)

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.53
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with specific product details and balanced feedback, there are multiple red flags: 1) High concentration of 5-star ratings (10 out of 15 reviews) with minimal critical feedback, 2) Several reviews contain generic, overly enthusiastic language with minimal product specifics ('Loved!!', 'Good', 'OMG how Cute are these!'), 3) Duplicate reviews detected (R2XNTJ8DJ3168K and R3DG7ZKDWTBQJH appear twice with identical text), 4) Multiple reviews mention 'Rayban dupes' or 'replicas' which often attracts incentivized reviews, 5) Some reviews focus excessively on vendor/shipping rather than product quality. However, the presence of detailed negative reviews about build quality issues and specific product experiences provides some authenticity balance.

Review Statistics

3,214
Total Reviews on Amazon
-0.93
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.60 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 (4.53 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product