MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641087403 A) filed by Mangala V Reddy; Ms. Sanjana Chinnu Jacob; and Dr. Jagadeesh Babu Mk on July 17, 2026, for Ai-Based Social Media Influencer Effectiveness Evaluation Platform.
Inventors include Mangala V Reddy; Ms. Sanjana Chinnu Jacob; and Dr. Jagadeesh Babu Mk.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: An AI-based social media influencer effectiveness evaluation platform is disclosed for measuring the performance, credibility, and marketing value of social media influencers through automated analysis of digital engagement data. The platform collects data from one or more social media sources, including follower information, audience interactions, content engagement records, demographic details, sentiment indicators, and campaign performance metrics. The collected data is processed using artificial intelligence and machine learning algorithms to evaluate multiple factors that contribute to influencer effectiveness. These factors include audience authenticity, engagement quality, content relevance, follower growth behavior, audience sentiment, interaction consistency, and campaign impact potential. The platform generates a comprehensive effectiveness score that provides a clear representation of the influencer's ability to create meaningful audience engagement and support marketing objectives. The system further includes ranking and comparison features that allow users to evaluate multiple influencers based on selected criteria. A recommendation module assists businesses in identifying influencers whose audience profiles and content characteristics align with specific products, services, or campaign goals. The platform may also detect suspicious engagement activities, fake followers, and abnormal interaction patterns that could affect evaluation accuracy. Predictive models are used to estimate future campaign outcomes by analyzing historical performance data and audience behavior trends. The invention supports continuous monitoring and automatic updates, ensuring that evaluation results remain current and relevant. Visual dashboards, reports, and decision-support tools provide users with clear insights for campaign planning and influencer selection. By combining artificial intelligence, machine learning, behavioral analytics, and performance prediction within a unified framework, the proposed invention offers a reliable and efficient method for evaluating social media influencers. The platform helps organizations improve marketing decisions, reduce investment risks, increase campaign effectiveness, and achieve better returns from influencer marketing activities across different industries and digital platforms.
Disclaimer: Curated by HT Syndication.
