# The Agent Selection Handbook > The practitioner handbook in reading order: foundations, the catalog chapters, and the infrastructure chapters. ## Foundations - [Agentic Commerce Optimization](https://agentmint.net/agentic-commerce-optimization/): The complete guide to agentic commerce optimization (AEO for ecommerce): make your catalog legible and preferable to AI shopping agents. - [How AI Agents Choose Products](https://agentmint.net/how-ai-agents-choose-products/): How AI shopping agents rank products: the structured signals (price, availability, reviews, data completeness) that decide which store gets picked. ## Catalog - [AI-Readable Product Feed](https://agentmint.net/make-product-feed-ai-readable/): An AI-readable product feed leads titles with category and use-case and fills every attribute agents parse: the gaps are why agents skip you. - [Product Schema for AI](https://agentmint.net/product-schema-for-ai-shopping/): Product JSON-LD is the machine-readable layer agents trust when your page and feed disagree: ship Offer, price, availability, and review fields. - [Product Titles for AI](https://agentmint.net/product-titles-for-ai-agents/): Agents match shopper queries to titles almost literally. Lead with the words buyers type, not a brand name like 'The Luna'. - [Crawlers, robots.txt & llms.txt](https://agentmint.net/ai-crawlers-robots-llms-txt/): Blocking AI crawlers in robots.txt hides the page data agents read beyond your feed. Here's the allow-list and what llms.txt adds. ## Infrastructure - [Serving Agent Traffic](https://agentmint.net/handbook/serving-agent-traffic/): How to afford being open to AI agents: edge-cache the cheap machine surfaces, allowlist verified bots, and measure the load. Not block legit agents. - [Information Density](https://agentmint.net/handbook/information-density/): Maximize verifiable facts per token on machine surfaces. Same content, different format at one URL is negotiation; varying it by user-agent is cloaking.