Sometime what categories, and how many failed matters: high review count may be okay on own, but if it ticks other boxes that seem suspect then added together it starts to paint a picture. It can’t always categorise the ‘phrase repetition’ and ‘verified user reviews as false, as many a listing I have scanned has come up at 100% clear, even with 100’s of reviews. Use your head, it can’t get it 100% right, it just looks for common fake review trends, after analysing, scroll down and see what exactly it’s failed on, these categories may not be important to you. Fails 25% or more and I feel it’s worth looking at.
If it fails a small number I always assume it’s likely to be the algorithm picking up some false positives. It makes it really easy to spot awfully high fake reviews on a product. This is a free service, including useful extensions and apps that integrate with iOS share menu.
I don’t agree fully with what the others have written so I just want to post a short positive comment.
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