Product Review Intelligence Analyzer
Detect review manipulation through three analytical lenses: language authenticity, rating distribution patterns, and velocity anomalies.
How it works: Use the three-tab analyzer — paste review text for language scoring, enter star counts for distribution analysis, or input daily review volumes to detect velocity spikes. No platform connection required; all inputs are manual.
Three Analysis Methods
Language Analysis
Scans review text for incentivized phrasing, forced sincerity language, and high-excitement signals that statistically correlate with paid or coordinated reviews.
Distribution Patterns
Evaluates the 1★–5★ breakdown. Real products show a J-shaped or bimodal curve. A 90%+ top-heavy distribution with near-zero 1★ is a statistical anomaly signal.
Velocity Detection
Maps review count over time. Organic review streams are gradual. A spike ratio above 3× average daily volume indicates a potential coordinated campaign.
Frequently Asked Questions
What is review velocity and why does it matter?
Review velocity measures how many reviews are posted per time period. Organic products accumulate reviews gradually. A spike of 50+ reviews on a single day for an obscure product is a statistical anomaly that strongly correlates with coordinated review campaigns. A spike ratio above 3× the daily average is considered a risk signal.
What is a normal rating distribution for a real product?
Real products almost always follow a J-shaped or bimodal distribution — high 5★, a meaningful cluster of 1★ (unhappy customers), and relatively fewer 2★–4★. A distribution where 90%+ of reviews are 5★ with near-zero 1★ reviews is statistically improbable for any product with more than 50 reviews.
What language signals indicate an incentivized review?
Key signals include: explicit disclosure phrases ('received for free', 'at a discounted price'), forced neutrality language ('honest opinion', 'unbiased review'), generic template phrasing ('highly recommend', 'best product ever'), and high exclamation density relative to word count.
Does this tool scrape any e-commerce platform?
No. This tool is entirely input-driven. You provide the review text and/or numerical data. All analysis runs in-browser with no external API calls.