A Strategic Evaluation of Fraud Detection Solutions for Influencer Marketing Integrity

Influencer fraud manifested through fake followers, bot-driven engagement, and manipulated growth patterns has become a costly threat to brand reputation and campaign ROI, creating an urgent need for systematic influencer vetting. This study examines the research problem of rising inauthenticity in the influencer ecosystem and its financial, strategic, and reputational consequences. The objectives are to analyse the scale and forms of influencer fraud, compare the capabilities of 20 leading fraud detection tools, and identify key differentiators that support strategic tool selection for brands of varying sizes. Using a qualitative content analysis of platform features, pricing models, methodological approaches, and compliance factors, complemented by comparative analytical mapping, the study reveals a mature and diverse market clustered into enterprise-level AI solutions, specialised vetting tools, and accessible quick-scan options.