Geesta 2/3/4-Tier Upgraded Collapsible Cooling Rack with Adjustable 3 Setting Design Stackable Roasting Cooking Drying Wire Cooling Rack for Cookies Baking Gifts for Women

Geesta 2/3/4-Tier Upgraded Collapsible Cooling Rack with Adjustable 3 Setting Design Stackable Roasting Cooking Drying Wire Cooling Rack for Cookies Baking Gifts for Women

ASIN: B08BL5MP3Z
Analysis Date: Oct 25, 2025 (re-analyzed Oct 25, 2025)

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate concerns with approximately 28% likely fake reviews. Analysis reveals: 1) All reviews are verified purchases (V), which adds credibility. 2) Extreme rating bias with 15/16 reviews at 5-stars and only one 4-star, creating unnatural perfection. 3) Several reviews contain suspiciously similar language focusing on space-saving, foldability, and multiple uses. 4) Two reviews appear duplicated (R1RTFBDNLQ0MBS and R26W9R5D7I6PF), which is highly unusual. 5) Multiple reviews use nearly identical phrasing about 'folding up small' and 'space saving' without specific details. However, many reviews contain authentic-sounding usage scenarios (professional baker, sourdough, soap drying) and minor criticisms that suggest legitimate experiences.

Review Statistics

2,148
Total Reviews on Amazon
-0.73
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 (4.20 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 (4.93 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