Find and match brand-safe creators with AI that screens reach, relevan
Secure trustworthy partnerships that deliver measurable impact with transparent selection criteria.
Relevance scoring, lookalike audiences, fraud/bot detection, sentiment
Our system utilizes advanced search filters and shortlists, each accompanied by detailed reason codes explaining the matching logic. This includes visualizations of audience overlap to help you understand potential synergies.
Furthermore, we leverage offer recommendations based on benchmark data and fit, streamlining the selection process.
Offer Recommendations
Implementation Blueprint
Frequently asked questions
What factors does the AI use to determine match scores and highlight safety flags?
The AI considers a multitude of factors including audience demographics, engagement rates, content quality, brand reputation, and adherence to our strict safety guidelines. These are visualized as distinct ‘safety flags’ within the platform.
How does the system address potential issues with blocklists, human review, and fraud detection?
We employ a layered approach combining automated blocklist checks, continuous human review of flagged content and accounts, sophisticated fraud detection algorithms, and robust disclosure compliance procedures to minimize risk.
What considerations are made regarding advertising disclosures, data rights, and regional regulations?
Our platform ensures all sponsored content adheres to relevant advertising standards, including clear disclosures, protects user data in accordance with GDPR and other applicable laws, and accounts for specific regional rules and compliance requirements.
How does the system avoid demographic bias and ensure transparent selection criteria are applied?
We utilize diverse datasets, regularly audit our algorithms for potential bias, provide users with full visibility into the criteria used for matching, and offer a clear appeals process for any concerns regarding fairness or transparency.
▶ Try it live
Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.