This tutorial demonstrates an AI-powered media intelligence tool that helps you identify where your content is most likely to gain coverage. Simply upload your text or Word document, and the AI analyzes it to extract key concepts and keywords, giving special attention to your title, subtitle, and opening paragraph—the elements that typically define your core message. The system then searches across ten major media outlets to find content with similar themes and topics. Within moments, you'll receive a detailed report showing the percentage likelihood of each outlet covering your subject matter, complete with brief explanations for why certain publications are better matches than others. This enables you to target your pitches more strategically and understand which media landscapes align best with your content.
This tutorial introduces a next-generation approach to reputation management through predictive narrative intelligence. Upload your press release, and the system immediately analyzes its storyline signals—the core narratives and themes embedded in your content. Using GEO (Generative Engine Optimization) and REO (Reputation Engine Optimization), the platform reveals how these narratives perform within AI-driven search environments, giving you a critical early-warning system to identify potential issues before they escalate. The analysis tracks three key predictive indicators: visibility gaps that show when your message isn't resonating across traditional media versus AI-generated search results, sentiment drift that captures how subtle framing shifts can change public perception over time, and narrative stickiness that identifies which ideas are gaining momentum and could develop into reputational challenges. By combining these elements, you gain a strategic advantage—the ability to proactively shape your narrative rather than reactively manage crisis situations.