Episode Details

In this episode of Global Economic Press, Alex Brady discusses a critical issue identified by Kodec AI in the realm of artificial intelligence and business-to-business software sales. The episode highlights Kodec AI's recent study, which reveals the "Rogue Sales Rep" problem in AI search platforms. According to the study, these platforms returned incorrect pricing or feature information in 62% of simulated buyer queries, potentially impacting companies that depend on AI for accurate information delivery. The research involved over 200 query cycles across Series B and higher software as a service companies in the technology and financial services sectors, uncovering that AI platforms often prioritize outdated third-party content over official company sources.

The findings categorize the issue into three primary failure types: Revenue Undercutting, Conflated Data, and Fabricated Features. These errors lead to significant revenue leaks, as AI agents misquote enterprise pricing, causing companies to lose deals. The study emphasizes the need for businesses to develop machine-readable knowledge graphs to serve as authoritative sources for AI systems. As the web becomes more "agentic," with AI tools executing tasks on behalf of users, the importance of verified data grows. To address this, Kodec AI offers Search Infrastructure to help enterprises audit their AI presence and implement governed data structures. For more information, visit Kodec AI's website.