Question 1

Is the AI Shopper Simulator based on real AI agent behavior?

Accepted Answer

Yes. Every failure in the game is a real agentic-commerce failure mode: robots.txt rules that block AI crawlers like GPTBot and ClaudeBot, missing llms.txt files, product pages without schema.org Product/Offer markup (so agents cannot reliably tell a price from a SKU), size charts shipped as images, and human-verification CAPTCHAs that end an agent's checkout. The jokes are invented; the mechanics are not.

Question 2

What does the game teach about agent-readiness?

Accepted Answer

Agent-readiness is whether AI assistants (ChatGPT, Claude, Perplexity, Google AI Mode) can discover your store, parse your product data, and complete or recommend a purchase. The game walks the same three stages a real agent does: discovery (robots.txt, llms.txt, sitemap), product understanding (titles, structured data, variants), and checkout (guest flow vs CAPTCHAs and forced accounts).

Question 3

How do I find out which ending my real store gets?

Accepted Answer

Run the free AgentReady scan at agentready.agiscorecard.com. It checks your robots.txt against seven major AI crawlers, looks for llms.txt, validates schema.org Product, Offer, Organization and FAQ markup, and scores your store 0-100 with concrete fixes — the non-fictional version of this game.

🧦 AI Shopper Simulator