AnalytixReviews detects fake reviews, suspicious rating spikes, review farms, and risky store behavior to produce a simple trust score your customers and team can understand instantly.
Built like a modern SaaS platform with actionable trust intelligence for stores, products, and marketplaces.
Analyze wording, sentiment patterns, repetition, timing clusters, and suspicious rating behavior using model-based scoring.
Generate a simple trust score using review quality, reviewer reputation, transparency signals, and behavioral risk indicators.
Detect overlap between suspicious accounts, repeated reviewers, and coordinated activity across multiple storefronts.
Evaluate a store’s consistency, domain trust, product review balance, and fraud signals in one clean dashboard.
Instantly flag unnatural spikes in ratings, mass review posting windows, and suspicious positive review surges.
Export clean trust reports for merchants, analysts, customer success teams, and buyers evaluating store credibility.
Paste a store, scan the review ecosystem, and get a clear truth score with reasons behind it.
Paste a domain, product page, marketplace listing, or storefront URL to start the analysis.
We inspect review language, timing, account overlap, sentiment variance, and suspicious patterns.
Receive a clean store trust score, risk summary, and confidence explanation in a beautiful dashboard.
Start free, then scale into advanced analytics and API access.
Perfect for individual shoppers and early testing.
For analysts, merchants, and fraud detection workflows.
For platforms, large stores, and trust infrastructure teams.
Built for shoppers, SaaS teams, analysts, and marketplace operators.
“The UI is clean, the scoring is easy to understand, and it helped us spot suspicious product review spikes immediately.”
“We wanted a trust layer for stores and this gave us a simple store-grade system that looks enterprise-ready.”
“The dashboard feels modern and premium. It looks like a real SaaS product, not just a scanner.”
AnalytixReviews is a trust intelligence platform designed to detect fake reviews, identify suspicious stores, and help consumers and businesses understand the real credibility behind online ratings.
Our platform scans thousands of reviews and detects unusual patterns such as review bursts, duplicate wording, and suspicious sentiment signals.
We analyze reviewer behavior across multiple stores to identify review farms and coordinated fake review campaigns.
Using thousands of signals, our algorithm generates a simple trust score to help shoppers instantly understand whether a store is reliable.
Fraud Signals
Reviews Analyzed
Stores Scanned
Detection Accuracy
Scan stores, expose fake reviews, and give users a confidence score they can actually trust.
Detect fake reviews instantly while browsing stores online.
See trust scores automatically while browsing eCommerce stores.
Analyze stores directly in Firefox with one click.
Everything you need to know about AnalytixReviews
AnalytixReviews is a review intelligence platform that analyzes online store reviews to determine whether they are authentic or potentially fake. It scans review patterns, reviewer behavior, and sentiment signals to calculate a trust score.
The trust score is calculated using thousands of signals such as reviewer authenticity, review timing patterns, sentiment analysis, verified purchases, and cross-store reviewer networks.
Yes. AnalytixReviews uses machine learning and behavioral pattern analysis to detect suspicious review activity such as duplicate reviews, review farms, rating bursts, and bot-generated reviews.
AnalytixReviews can analyze Shopify stores, Amazon listings, WooCommerce stores, and many independent e-commerce websites.
Yes. A free tier is available with limited scans. Pro and Enterprise plans offer advanced analytics, API access, and bulk scanning tools.
Consumers, marketplace analysts, e-commerce teams, fraud investigators, and anyone who wants to verify the credibility of online reviews.
Our trust score combines machine learning models with behavioral analysis of reviews. While no system can guarantee 100% accuracy, AnalytixReviews analyzes thousands of signals such as review timing patterns, reviewer history, and rating distributions to provide highly reliable trust indicators.
No. AnalytixReviews focuses on analyzing public review data and store behavior. The browser extension processes store pages locally and only sends minimal analysis data necessary to calculate trust scores.
AnalytixReviews supports many popular platforms including Shopify stores, Amazon listings, WooCommerce stores, and independent eCommerce websites.
Yes. Businesses can use AnalytixReviews to monitor review authenticity, protect their brand reputation, and identify suspicious activity that may impact customer trust.
Yes. Our platform analyzes reviewer networks across multiple stores to identify coordinated fake review campaigns and suspicious reviewer clusters.
Absolutely. Simply paste the store or product URL into the scanner, or use the browser extension to see the trust score instantly while browsing.
Basic scanning can be used without an account. Creating an account allows you to save analyses, access advanced reports, and monitor multiple stores.
Fake reviews can include paid reviews, bot-generated reviews, duplicated reviews across multiple products, or coordinated campaigns designed to artificially boost ratings.
Yes. Our API allows developers to integrate trust scoring directly into apps, websites, and marketplaces.
Trust scores are recalculated whenever new review data is detected. For frequently reviewed stores, scores may update several times per day.
Yes. Our system detects common dropshipping indicators such as identical product reviews across multiple stores, supplier patterns, and suspicious rating spikes.
Parts of the platform may become open source in the future. Currently, the core trust scoring algorithms are proprietary to ensure accuracy and security.