Tech · Review trust check

Online Review Trust Checker

Is this review profile genuine or following a manipulation pattern? Covers clustering, over-polished language, absent negatives, and reviewer account age.

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Tech Under 1 minute Verdict card

Review trust check

Waiting for your input

Enter the signals from the review profile. Podge returns a trust verdict for the review set as a whole.

What this means

This instrument starts blank so it does not judge a made-up example before you have entered your own situation.

Formula used

Trust score = base − clustering penalty − polish penalty − absence penalty − account age penalty

Worked example

100 reviews arriving in a two-day window, all 5-star, with no negative reviews on a 3-year-old product: trust score very low — manipulation pattern detected.

Common questions

Does a low trust score mean the product is bad?
No. It means the review set shows patterns associated with manipulation. The product may be fine — but the reviews are not a reliable signal.

What is review clustering?
Clustering is when a disproportionate share of reviews arrive in a very short window, often when a seller pushes for reviews simultaneously from the same source.

Plain-English summary

Fill in the questions on the left to generate a verdict card.

This section translates the result into a short, direct takeaway rather than leaving the page at a bare number.

Disclaimer: This tool assesses patterns in review sets, not the product itself. Patterns can co-exist with genuine products. Trust verdicts are probabilistic, not proof of fraud.

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