What was the impact of the AI solution?

Monitors 86,000 channels daily. Can scan 15 years of content in 48 hours. Cut infrastructure costs by around 92%. Reduced in-house engineering resources by 70%.

Source

GCPScaled productionEvidence: Medium65/100

Viral Nation: Gemini-powered brand safety and creator-fit auditing at scale

Use case typeMultimodal analyticsUpdated Jul 18, 2026

Viral Nation provides brand fit and safety solutions for influencer marketing and creator services. The company built its Secure social media monitoring and screening technology on Google Cloud to analyze historical posts at scale across text, video, images, and audio. Using Gemini, Vertex AI, BigQuery, and Google Workspace, Viral Nation scans creator content for brand standards violations and evaluates creator fit for customer campaigns.

Organization: Viral Nation
Industry: Other
Location: United States
Published: July 2026

Reported outcomes

−92%

infrastructure costsCost savings

86,000 channelschannels monitored daily48 hourscontent scanning window−70%in-house engineering resources

Strategic outcomes

Scale & capacityReduced brand risk through scalable screeningCustomer experience & trustImproved brand fit and safety insights for customersScale & capacityEnabled large-scale historical content analysis

Catalog median for cost savings deployments: −40% across 177 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Channels monitored daily: 86,000 channels increase

Google Cloud Customer StoriesJul 18, 2026Customer storyExplicit claimMedium evidence strength

86,000 channels monitored daily

Normalized claim

Content scanning window: 48 hours decrease

Google Cloud Customer StoriesJul 18, 2026Customer storyExplicit claimMedium evidence strength

scan 15 years of content in 48 hours

Normalized claim

Infrastructure costs: 92% decrease

Google Cloud Customer StoriesJul 18, 2026Customer storyExplicit claimMedium evidence strength

cut infrastructure costs by around 92%

Normalized claim

In-house engineering resources: 70% decrease

Google Cloud Customer StoriesJul 18, 2026Customer storyExplicit claimMedium evidence strength

reduced in-house engineering resources by 70%

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Viral Nation
Provider: GCP
Maturity: Scaled Production
Linked source: Google Cloud Customer Stories

The company built its Secure social media monitoring and screening technology on Google Cloud to analyze historical posts at scale across text, video, images, and audio

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Multimodal analytics
2Brand safety monitoring
3Customer experience analytics

Historical post analysis took too much time, customer insights were suffering as the data infrastructure could not keep up with growth, and ROI was falling as cloud costs rose.

Built Secure on Google Cloud to audit and analyze historical social media content at scale across text, video, images, and audio.
Used Gemini for multimodal brand-safety screening and summarization.
Used Vertex AI for content-topic and style analysis, BigQuery as the data backbone, and Google Workspace for collaboration.

Technologies

Gemini Vertex AI BigQuery Google Workspace Google Cloud

Monitors 86,000 channels daily.
Can scan 15 years of content in 48 hours.
Cut infrastructure costs by around 92%.
Reduced in-house engineering resources by 70%.

Architecture

Viral Nation built Secure on Google Cloud as a proprietary brand-safety and creator-fit platform. The system uses Gemini for multimodal analysis of text, video, images, and audio, Vertex AI for topic/style and sponsorship analysis, BigQuery as the analytics backbone, and Google Workspace for team collaboration.

Sources & evidence1

Evidence: Medium65/100Evidence strength