Carlyle KSM-66 Ashwagandha 600mg | 120 Caplets | Extract Supplement with L-Theanine | Vegan, Non-GMO, Gluten Free

Carlyle KSM-66 Ashwagandha 600mg | 120 Caplets | Extract Supplement with L-Theanine | Vegan, Non-GMO, Gluten Free

ASIN: B0CZY13LRT
Analysis Date: Sep 27, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.77
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include: multiple verified purchases (7/12), detailed personal experiences with specific metrics (Fitbit sleep tracking), and some medical professional mentions. However, concerning patterns include: duplicate review text (review #1 and #9 identical), several overly generic 5-star reviews ('Excelente producto', 'Works great'), and some reviews that read like marketing copy rather than genuine user experiences. The rating distribution is heavily skewed toward 5-stars (10/12 reviews) with only one 3-star and one 4-star review, which is somewhat suspicious for a supplement product. The presence of both detailed legitimate reviews and clearly generic ones suggests a mix of authentic and potentially incentivized reviews.

Review Statistics

251
Total Reviews on Amazon
-0.67
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 (4.77 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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