Agentic Recommendation Optimization: A Blueprint for the Post-Search Economy

This essay introduces Agentic Recommendation Optimization (ARO), a framework for optimizing professional service visibility for AI systems that act as autonomous decision-makers. It defines the shift from human-driven search to agent-driven recommendation, proposes a five-layer verification stack, and documents infrastructure convergence in early 2026 supporting the framework's thesis.