Open this lesson in your favourite AI. It'll walk you through the why, explain the demo, and quiz you on the try-it list.
Direct agent testing is the fastest way to identify gaps between what you intend to communicate and what agents actually surface — making it the most actionable step in agent-era marketing.
Use these three in order. Each builds on the one before.
In one paragraph, explain why prompting an AI assistant is a valid method for auditing how your product appears in agent-driven discovery.
Walk me through how I would design a repeatable test protocol for checking my product's agent visibility — covering which agents to use, which prompts to ask, and what outputs to record.
Given that different agents use different retrieval architectures (training data vs. RAG vs. live browsing), how would you interpret a result where one agent describes your product accurately and another does not?