Book Your Demo
USE CASE

Fake Reviews and Listings Detection Solution

OVERVIEW

Keeping it real preserves trust and integrity

Combat deceptive or misleading experiences. Arkose Bot Manager ensures that all automated fake and dishonest posts are blocked from your platform.

Of people make buying decisions based on online reviews

Source: Demand Sage

Of online customer reviews are deemed fake

Source: BusinessDIT

Of consumers will not buy if product reviews are suspected fake

Source: Demand Sage

“We were looking to prove value in the detection of critical risk while also reducing the number of fake accounts on our platform. With Arkose Labs, we were actually able to achieve both of these goals.”

SOLUTION BENEFITS

Reviews and listings your users can trust.

Preserve Integrity

Effectively stop fake listings and reviews to maintain the authenticity and reliability of your services.

Enhance User Trust

Protect your users from scams and misleading information, fostering a safe and trustworthy environment.

Cut Fraud Costs

Minimize the resources spent on detecting, removing, and remediating fraudulent posts, so you can focus on the experience of real users.

HOW IT WORKS

Advanced tech that traps counterfeit content.

Our combined detection and mitigation platform ensures a seamless experience for genuine users while stopping fake interactions.

Real-Time Risk Assessment

Real-Time Risk Assessment

Leveraging data from our multi-industry network and proprietary models, our detection engine runs hundreds of signals to confidently identify, fingerprint, and report anomalies pointing to fake listings or reviews being submitted.

Adaptive Challenges

Adaptive Challenges

Dynamic challenges adapt to the nature of the attack vectors, preventing both automated and manual attempts to post fake content, while safeguarding genuine engagement.

Comprehensive Mitigation

Comprehensive Mitigation

True/false API results and rich data payloads allow for immediate action in your review submission workflows while also providing substantial insights for further decision-making in downstream systems.

Take the next step to detect and prevent fake listings & reviews.

Protect your brand reputation and promote honest feedback from real customers.