AI shopping agents like ChatGPT and Gemini are starting to find and recommend products for shoppers. If your product data isn't structured and clear, agents skip it. AgentFit audits your whole catalog against agentic-commerce standards (ACP and UCP) and scores every product on three stages: Discovery (can an agent find it), Evaluation (will it recommend it), and Transaction (can it complete checkout). For each product you get a prioritized list of the highest-impact fixes.

• Scores every product 0–100 for AI shopping agent readiness
• Pinpoints weaknesses across Discovery, Evaluation, and Transaction stages
• Gives a prioritized, highest-impact fix list for every product
• Re-run anytime to track your scores as you improve your catalog
• Audits against ACP (ChatGPT) and UCP (Google/Gemini) standards