AI Search Readiness and Building Effective Brand Data for Autonomous Agent Evaluation

Hi fellow Profound AI Builders! 👋 I am Gerard, based in Los Angeles. I run GRDigital, a strategy and AI-ecosystem-build practice. Most recently as the enterprise strategy lead at Toyota Motor N.A. where I focused on building AI-enabled sales enablement platforms, predictive consumer journey modeling, and the knowledge layers driving AI retrieval with full methodologies, etc. What I'm working on that's relevant to Profound: AI search readiness specifically the unglamorous reality that a brand's own source material dictates exactly what an assistant can say about it, and the shifting economics beneath that. When AI Assistants mediate discovery, attention is priced completely different than current search business model. Most brands are still buying on the old curve, and I am apparently good at helping them to bridge that gap 😜 What brought me here: 🍦 I am keen to exchange ideas and learn from others about the information arbitrage happening right now. Explore the systematic way to assess and build a brand's data surface area before deployment, and how we can architect knowledge repositories to survive autonomous agent evaluation. Let's connect on Linkedin.com/in/gerardsun