Stichting Reclame Code
Bringing transparency to influencer marketing with AI-powered compliance monitoring
Summary
An AI-powered platform that helps organizations track how social media influencers promote products, shifting advertising compliance from reactive enforcement to proactive monitoring.
Built as a Tech4Good initiative with Stichting Reclame Code, the Influencer Monitor continuously collects and analyzes social media content to detect potential violations of advertising rules and guidelines. The platform uses computer vision, natural language processing, and a two-agent AI pipeline to surface compliance issues before they reach a mass audience.
Services
Industry
The Challenge
Influencer marketing is one of the fastest-growing advertising channels, but nearly impossible to monitor at scale.
The volume of content across social media platforms is effectively infinite, with posts, stories, reels, and live streams published around the clock. Much of this content is ephemeral, disappearing within 24 hours. Manual monitoring simply cannot keep pace, and the line between organic content and paid promotion is increasingly blurred.
Problem 01
Infinite content, impossible to monitor manually
- ▪Posts, stories, reels, and live streams published around the clock across platforms
- ▪Ephemeral content disappears within 24 hours, leaving no trace for review
- ▪Manual monitoring is impossible at the scale required for meaningful enforcement
- ▪Multiple platforms and languages compound the complexity
Problem 02
Blurred lines and low awareness
- ▪The boundary between organic content and paid promotion is increasingly unclear
- ▪Younger audiences are less aware of advertising rules and disclosures
- ▪Influencers themselves are often unfamiliar with compliance requirements
- ▪Self-regulatory organizations lack the tools to act proactively
The Solution
The platform operates in three stages, moving from continuous content collection through intelligent detection to AI-powered compliance analysis. A two-agent pipeline with inline reviewer feedback ensures accuracy improves over time.
01
Collect
Continuously collect published content from tracked creators, including ephemeral stories that disappear within 24 hours. All content is stored and organized for retrieval and analysis.
02
Detect
Keyword analysis and AI-driven content classification filter signal from noise across vast volumes of social media content, identifying posts that may contain advertising material.
03
Analyze
Examine captions, audio transcripts, on-screen text, and visual elements to generate compliance reports. A Rule Agent and Evaluation Agent work in sequence, with reviewer feedback driving continuous improvement.
User poses a question
already exist
Agent 1
Rule Agent
Structures policy into small, machine-readable checks with built-in explainability and traceability.
Agent 2
Evaluation Agent
Ad Metadata
nuance
Potential Violation
Potential Flag
Potential Pass
The UI prioritizes ads by risk so legal experts focus on likely violations first. Reviewers give inline feedback that updates the checks over time and improves accuracy.
Impact
An award-winning platform that shifted influencer marketing compliance from reactive enforcement to proactive monitoring across multiple markets.
Global Adoption
More than 10 self-regulatory organizations worldwide now use the Influencer Monitor to proactively track influencer content for advertising compliance.
Multi-Market Deployment
The platform has grown from a single-market tool to a globally deployed solution, operating across multiple countries, platforms, and languages.
Proactive Compliance
Organizations like STIVA and FNLI use the platform to detect and address potential violations before they reach a mass audience, often within 24 hours.
“We are proud to have developed the Influencer Monitor together with DEUS to bring more transparency to the Influencer Marketing channel. More than 10 self-regulatory organizations already have been using this innovative solution.”
Otto van der Harst, Director, Stichting Reclame Code
Methods
A full-stack AI platform combining computer vision, natural language processing, and multi-agent architecture for automated compliance monitoring.
Computer vision
NLP
Two-agent AI pipeline
Content classification
Keyword analysis
Compliance evaluation
Real-time monitoring
Audio transcription
On-screen text extraction
Child detection
Creator tracking
Content filtering
Case reporting
Customizable rules
Continuous learning