LLM.txt & AI Crawler Setup Guide for Ecommerce

Create a text file at /ecommerce.txt with a brief introduction to your e-commerce brand and its core product categories.

Include markdown-style links to your most important category pages, 'New Arrivals' sections, and best-selling product pages.

Add a 'FAQ' section in the file to answer common AI training bot queries regarding product availability, shipping policies, and return processes.

User-agent: Gemini Allow: /collections/ Allow: /products/ Disallow: /account/ Disallow: /cart/

Verify your crawler permissions using a tool like Google Search Console's 'robots.txt tester' or by simulating crawler requests.

Monitor crawl frequency and targeted URLs in your server logs and analytics to ensure AI crawlers are accessing critical product and category pages.

Wrap your primary product listing grid on PLPs within <main> or <section> tags, using descriptive 'aria-label' attributes like 'product-listing'.

Use <article> tags for individual product cards on PLPs, ensuring each contains essential product name, price, and image.

On PDPs, structure product details using <section> for distinct attributes (e.g., 'description', 'specifications', 'reviews') and ensure all product data tables use proper <thead> and <tbody> for structured data extraction.

Keep core product attribute groups (e.g., materials, dimensions, compatibility) within distinct, easily parseable blocks, ideally under 500 words each.

Avoid abstract language; ensure each product attribute or benefit is explicitly stated and linked to the specific product name or SKU.

Eliminate ambiguous pronouns and ensure consistent naming conventions for product variations (e.g., 'Color: Blue', not 'It's blue'). Repeat key product identifiers in section summaries.