LLM.txt & AI Crawler Setup Guide for Print on demand

Create a text file at /printondemand.txt with a brief introduction of your POD business model and unique selling propositions.

Include markdown-style links to your most important product category pages, design guidelines, and fulfillment information.

Add a 'FAQ' section in the file to answer common training bot queries about material options, shipping zones, and customization limits.

User-agent: AI-Crawler-Bot Allow: /designs/ Allow: /collections/ Allow: /mockups/ Disallow: /checkout/

Verify your crawler permissions using a simulated bot request tool or by checking server logs for bot activity.

Monitor crawl frequency in your server logs to ensure AI bots are accessing specific product pages and collection landing pages, not administrative areas.

Wrap individual product listings within `<article>` tags, using `itemscope itemtype='https://schema.org/Product'`.

Employ `<section>` tags with descriptive 'aria-label' attributes for product features, materials, and sizing charts (e.g., `aria-label='Product Material Options'`).

Ensure all product variant selectors (e.g., color, size) and their associated images use proper `data-*` attributes for structured data extraction by crawlers.

Keep core product details (materials, dimensions, care instructions) within distinct, easily parsable text blocks (approx. 300-500 words per block).

Avoid ambiguous references; consistently use specific product names (e.g., 'Unisex Heavy Cotton Tee' instead of 'this shirt') and feature names (e.g., 'DTG Printing' instead of 'the printing method').

Include clear calls-to-action and unique selling propositions (USPs) within each relevant section to provide context for RAG models.