SOOL CBD Capsules 1500mg 30pcs | 50mg CBD per Capsule | Broad Spectrum CBD High Strength blendeed with Hemp Oil | CBD Oil Capsules | Cannabidiol CBD Oil for Pain, Stress & Anxiety Relief for Adults

SOOL CBD Capsules 1500mg 30pcs | 50mg CBD per Capsule | Broad Spectrum CBD High Strength blendeed with Hemp Oil | CBD Oil Capsules | Cannabidiol CBD Oil for Pain, Stress & Anxiety Relief for Adults

ASIN: B09C1VKT67
Analysis Date: Oct 22, 2025

Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.47
Original Rating
3.50
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with balanced feedback (including 3-star and 1-star reviews), there are multiple duplicate reviews (R2OKVPWG3LQHEZ and R2Y59WB6LCBA94 appear twice) and several reviews that follow suspicious templates. The 5-star reviews dominate (8 out of 12 unique reviews) and many use similar marketing language praising the brand specifically ('SOOL capsules') rather than focusing on personal experiences. Several reviews contain nearly identical phrasing about 'no aftertaste' and 'easy to swallow,' suggesting coordinated posting. However, the presence of negative reviews and varied writing styles provides some balance, preventing a higher fake percentage score.

Review Statistics

292
Total Reviews on Amazon
-0.97
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 (3.50 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 (4.47 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

Analyze Another Product

Check any Amazon product for fake reviews.

Start New Analysis

Learn More About Fake Reviews

Analyze new product