What percentage of reviews are fake for this product?

0.00% of the analyzed reviews appear to be fake or inauthentic.

What is the authenticity grade for this product?

The product receives a grade of A based on review authenticity analysis.

How many reviews were analyzed?

11 reviews were analyzed for authenticity patterns.

What is the adjusted rating after removing fake reviews?

After removing suspicious reviews, the adjusted rating is 4.27 out of 5 stars.

How does this analysis help consumers?

This analysis helps consumers identify products with manipulated reviews, enabling more informed purchasing decisions based on genuine customer feedback.

Ear Hooks Anti-Slip Ear Covers Accessories for Airpods Pro 2, 2nd Generation (2022) - 3 Pairs (White)

Name: Ear Hooks Anti-Slip Ear Covers Accessories for Airpods Pro 2, 2nd Generation (2022) - 3 Pairs (White)
Brand: Amazon
SKU: B0C612M5MV
Availability: InStock
Rating: 4.3 (11 reviews)

ASIN: B0C612M5MV

Analysis Date: Aug 21, 2025 (re-analyzed Aug 21, 2025)

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Review Analysis Results

Authenticity Grade

0.00%

Fake Reviews

4.27

Original Rating

4.27

Adjusted Rating

Analysis Summary

Analysis of 11 reviews found 0 potentially fake reviews (0%). This product has very low fake review activity and appears highly trustworthy.

Review Statistics

Total Reviews on Amazon

0.00

Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade A mean?

This product has excellent review authenticity. Our AI detected very few suspicious patterns, suggesting the vast majority of reviews are genuine customer experiences.

Adjusted Rating Explained

The adjusted rating (4.27 stars) represents what we estimate this product's rating would be if fake reviews were removed. The ratings are similar, suggesting fake reviews aren't significantly impacting the overall 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.