Fraudulent Reviews
Don’t Stand a Chance.

We analyze review patterns, behavior signals, and language anomalies to uncover fake, manipulated, and misleading reviews — so people can trust what they read.

*Designed to meet global trust standards

FOREN.AI dashboard preview
About FOREN.AI

About Us

Protect Your Business from Fake Reviews

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Trusted Across Businesses and Industries

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500+

Businesses protected from fraudulent reviews

10+

Industries served, including restaurants, clinics, auto, shops

2.5K

Suspicious or fraudulent reviews flagged

What We Do

Evidence, Not Influence

We do not delete, suppress, write, or alter reviews. Our role is to provide objective digital forensic evidence that identifies suspicious or fraudulent review activity. By analyzing behavioral patterns, timing anomalies, and manipulation signals, we equip businesses with defensible insights they can use to challenge questionable reviews through official processes on platforms such as Google, Yelp, Trustpilot, and other review ecosystems.

Evidence, Not Influence

What We Detect

Evidence-driven detection across common manipulation patterns.

Competitor Attack

Competitor Attack

If a competitor pays someone to leave low-star reviews, our AI detects suspicious patterns and alerts you before your rating drops.

Fake Customer

Fake Customer

If someone who never visited your business leaves a negative review, our AI spots inconsistencies and gives you evidence to dispute it.

Review Bombing

Review Bombing

If multiple negative reviews appear at the same time, our AI identifies unusual timing and account behavior.

Incentivized Reviews

Incentivized Reviews

Our AI detects when competing businesses manipulate their ratings and identifies suspicious activity targeting your business.

Our Review Monitoring Process

A simple, evidence-focused workflow from detection to action.

Continuous Review Monitoring

Continuous Review Monitoring

We continuously track reviews across supported platforms to maintain real-time visibility into your online reputation.

Detection of Irregular Activity

Detection of Irregular Activity

Our system detects abnormal patterns that may indicate fraudulent or manipulated reviews.

Digital Forensic Analysis

Digital Forensic Analysis

Flagged reviews are analyzed using digital forensic methods to establish verifiable, evidence-based findings.

Actionable Alerts & Reporting

Actionable Alerts & Reporting

We deliver clear, structured alerts outlining the findings and recommended next steps for resolution.

How We Add Value to Your Business

Practical outcomes, delivered with evidence and clarity.

Add value
Early Detection with Fast Alerts

Early Detection with Fast Alerts

We monitor reviews continuously and notify you as soon as unusual activity is detected, helping you address issues before they escalate.

Clear Insights, Not Guesswork

Clear Insights, Not Guesswork

Each alert is accompanied by a structured explanation, so you understand what was flagged, why it matters, and what actions to take.

Verified Evidence for Confident Action

Verified Evidence for Confident Action

Our digital forensic analysis provides reliable, documented evidence that supports compliant and secure review management decisions.

Trusted by Businesses Like Yours

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Jacob JonesJones Enterprises.ltd

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Jacob JonesJones Enterprises.ltd

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Jacob JonesJones Enterprises.ltd