Nitric Oixde Booster Beet Root Gummies with L-Arginine, L-Citrulline, Grape Seed, Pomegranate for Man & Woman Pre Workout - Energy, Muscle Growth & Circulation Support Vegan, NON-GMO, Sugar Free

Nitric Oixde Booster Beet Root Gummies with L-Arginine, L-Citrulline, Grape Seed, Pomegranate for Man & Woman Pre Workout - Energy, Muscle Growth & Circulation Support Vegan, NON-GMO, Sugar Free

ASIN: B0FK92DL8P
Analysis Date: Sep 18, 2025 (re-analyzed Sep 18, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.31
Original Rating
3.70
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several concerning elements. While most reviews appear genuine, there are notable red flags: multiple duplicate reviews from the same users (R22B7LIX1UGEX3 and R3DBV2JZTMY2T4 appear twice with identical content), overly enthusiastic 5-star reviews that read like marketing copy, and some reviews that appear to be from the same source due to similar phrasing and structure. However, the presence of balanced 3-4 star reviews with specific dosage critiques and negative feedback about product quality (melting gummies) provides authenticity. The rating distribution is heavily skewed toward 4-5 stars (11 out of 13 reviews), which is common for supplements but still raises some suspicion.

Review Statistics

18
Total Reviews on Amazon
-0.61
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 (3.70 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 (4.31 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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