PreserVision AREDS 2 Eye Vitamin & Mineral Supplement with OCUSorb, 120 Vegan Soft Gels, Contains Lutein, Zeaxanthin, Vitamin C & E, Zinc, & Copper, Eye Health Supplements for Adults

PreserVision AREDS 2 Eye Vitamin & Mineral Supplement with OCUSorb, 120 Vegan Soft Gels, Contains Lutein, Zeaxanthin, Vitamin C & E, Zinc, & Copper, Eye Health Supplements for Adults

ASIN: B0DTY1893M
Analysis Date: Nov 5, 2025 (re-analyzed Nov 5, 2025)

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.87
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews show a moderately low fake percentage (18%) with most reviews appearing legitimate. Key findings: 1) High verification rate (all reviews marked 'V' for verified purchase), 2) Consistent medical context with specific eye conditions (macular degeneration, dry eyes), 3) Realistic timeframes (months to years of use), 4) Mixed but predominantly positive ratings (15/16 are 4-5 stars, one 4-star with legitimate price comparison), 5) Natural language variations and specific details about doctor recommendations, swallowing difficulties, and product effects. The few suspicious elements include some overly brief reviews and one review with potential translation issues, but overall the review set appears authentic for a medical supplement product.

Review Statistics

52,862
Total Reviews on Amazon
-0.47
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.40 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 (4.87 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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