Protect Retail Brands from Viral Disinformation and Manipulated Sentiment 

Cyabra helps retail and consumer goods companies detect bot-driven backlash, coordinated attacks, and harmful narratives - so you can defend brand trust and make decisions based on real consumer insights.

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Built For Retail & Consumer Brand Teams

Brand & Marketing
Understand whatโ€™s really driving online buzz - and whether itโ€™s authentic.

Crisis & Comms
Quickly assess if viral backlash is real or fake - and respond accordingly.

Products & CX
Detect false sentiment shifts and prevent them from skewing consumer insights.

Data & Analytics
Monitor manipulated and fake engagement and supply decision-makers with proactive data in real-time.

"To protect the reputation of a brand, making sure that we understand what is fake and what is real is critical. Now that we've got Cyabra as part of our data stack, we've got new ways to protect our clients from misinformation."

Jonny Bentwood

Cyabra Delivers the Insights Others Miss

Coordinated Backlash Campaigns

Discover when your brand is being targeted by automated, inauthentic attacks designed to incite viral outrage.

Counterfeit Promotion Networks

Identify fake accounts or micro-influencers promoting unauthorized, stolen or fraudulent versions of your products.

Fake Influencers & Synthetic Personas

Flag AI-generated personas or bots posing as lifestyle influencers, brand fans, or critics, and gather evidence to report and request takedown.

Deepfake Ads or CEO Smears

Detect manipulated media content, deepfakes and impersonations before they spread and damage trust in leadership or products.

Why the Retail & Consumer Goods Industry is a Target

Todayโ€™s consumers discover and judge your brand through social media. But what if that narrative is false? From smear campaigns to fake product sales and CEO deepfake videos, bad actors use disinformation to distort brand perception and hijack consumer trust. Fake accounts can damage years of brand equity in hours - especially when amplified through social channels designed for virality. 

Cyabra helps retail and consumer brands identify manipulation before it causes reputational or commercial damage.

Common threats include:

  • Bot-driven backlash and boycotts campaigns manipulating authentic audience
  • Fake campaigns causing negative sentiment spikes during launches, sales, or crises
  • Deepfake content targeting brand executives or influencers
  • Fake influencers promoting counterfeits

Why Cyabra?

Real-Time Alerts

Be notified instantly when disinformation, misinformation or other manipulation is detected around your brand, executives, or trending risky topics.

Profile-Level Authenticity

Cyabra analyzes accounts, not just mentions - so you see the who, not just the what.

Precision Narrative Mapping

Visualize how a disinformation campaign starts, spreads, and gains traction - across channels and clusters.

AI-Powered Insights

Multi-language NLP and bot behavior models trained for social and financial threat patterns.

Cyabra Named Innovation Leader by Frost & Sullivan

"By uncovering fake accounts and tracking disinformation waves, Cyabra empowers organizations to protect their brand reputation and ensure the authenticity of online discourse."

Following independent research, Frost & Sullivan recognized Cyabra with the 2025 North American Technology Innovation Leadership Award.

Our Research

The Manufactured Outrage Around Swatch

Cyabra identified coordinated inauthentic behavior shaping the online narrative following Swatchโ€™s controversial ad campaign.

Reports

August 27, 2025

Cracker Barrel Backlash Amplified by Fake Profiles

Following Cracker Barrel's logo change, Cyabra uncovered a fake campaign attacking the company's reputation online.

Reports

August 25, 2025

Microsoft Hit by Fake Profile Campaign Over “AI Layoffs”

Cyabra revealed a coordinated disinformation campaign on X surrounding Microsoftโ€™s "AI-driven layoffs", pushed by fake accounts amplifying divisive narratives to damage the companyโ€™s reputation.

Reports

August 21, 2025

Built for Secure, Compliant Environments

Real-time Alerts
An early warning system that helps you detect and act on emerging threats

Managed Services
In-depth reports by Cyabraโ€™s analysts, translating data into actionable insights

SaaS Platform
Fast onboarding, plug-and-play access for corporate teams

API Access
Custom integrations with existing financial risk systems

Case Studies

  • Following Cracker Barrel’s logo change, Cyabra uncovered a fake campaign attacking the company’s reputation online.
  • Alongside a surge in fake profile activity – 21% of the profiles in the conversation were fake – Cracker Barrelโ€™s stock fell, wiping out $100M in market value.
  • Fake profilesโ€™ content reached over 4.4 million potential views, significantly amplifying Cracker Barrelโ€™s crisis, eventually resulting in the company reverting back to the old logo.

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  • When American Eagle launched a 2025 campaign featuring Sydney Sweeney with the tagline โ€œSydney Sweeney Has Great Jeans,โ€ it quickly spiraled into a reputation crisis.
  • Inauthentic profiles drove a 4,000% spike in harmful sentiment and generated over 77,000 engagements on TikTok alone.
  • Fake profiles positioned themselves in high-visibility comment sections to maximize exposure, creating a disproportionate impact on the overall conversation.

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  • Following Target’s DEI rollback, Cyabra discovered 27% of the accounts were inauthentic.
  • These profiles generated over 1,000 posts – promoting hashtags such as #EconomicBlackout and #TargetFast.
  • Fake content reached more than 3 million users, driving a 764% spike in negative sentiment and contributing to Targetโ€™s $12B market value drop.

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Learn how Cyabra can protect retail & consumer brands.

Alerts

Sleep easy with real-time 24/7 alerts, proactively informing you of risks and attacks as they occur.

Detect

Identify disinformation, bot networks, stock market manipulations, and other risks across social media.

Protect

Proactively disrupt online threats and uncover fake campaigns, impersonations and deepfakes.