17536 Starter for Hyundai Santa Fe 2.4L 2010-2012, for Santa FE Sport 2.4L 2013-2014, for Sonata 2.4L 2009-2014, for Kia Optima 2.4L 2012-2014, for Sorento 2.4L 2011-2014, for 36100-2G100

17536 Starter for Hyundai Santa Fe 2.4L 2010-2012, for Santa FE Sport 2.4L 2013-2014, for Sonata 2.4L 2009-2014, for Kia Optima 2.4L 2012-2014, for Sorento 2.4L 2011-2014, for 36100-2G100

ASIN: B0BHS5ZNZQ
Analysis Date: Nov 8, 2025 (re-analyzed Nov 8, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.56
Original Rating
3.10
Adjusted Rating

Analysis Summary

The review set shows a mixed pattern with some legitimate characteristics but also several red flags. The 60% verification rate (6/10 verified) is reasonable but not ideal. The rating distribution is polarized with 60% 5-star and 30% 1-star reviews, suggesting potential review manipulation or genuine product quality issues. Several 5-star reviews contain overly enthusiastic language and price comparison claims that appear exaggerated ('almost a 10th of what I was being charged'). However, the presence of detailed negative reviews with specific failure timelines and return policy complaints lends credibility to the overall authenticity. The mix of Spanish and English reviews suggests diverse customer base, which is positive. The moderate fake percentage reflects that while some reviews appear artificially positive, there's enough genuine negative feedback to balance the assessment.

Review Statistics

57
Total Reviews on Amazon
-0.46
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 (3.10 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 (3.56 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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