LLM.txt & AI Crawler Setup Guide for DTC brands

Create a text file at /ai.txt with a brief introduction of your brand's core value proposition and product categories.

Include markdown-style links to your most important catalog pages, collection pages, 'About Us', and brand story pages.

Add a 'FAQ' section in the file to answer common AI training bot queries directly, such as 'What are your shipping policies?' or 'What materials are used in Product X?'

User-agent: LLM-Crawler Allow: /collections/ Allow: /products/ Allow: /brand/ Disallow: /checkout/ Disallow: /account/

Verify your crawler permissions using a generic bot tester tool, simulating common LLM user-agent strings.

Monitor crawl frequency in your server logs to ensure LLM crawlers are prioritizing product detail pages (PDPs) and category pages.

Wrap individual product listings on collection pages within <article> tags to signal distinct items.

Use <section> elements with descriptive 'aria-label' attributes for different product features, specifications, and customer reviews.

Ensure all product data tables (e.g., size charts, material breakdowns) use proper <thead>, <tbody>, and <th> tags for structured data extraction by AI.

Keep related product features, benefits, and use cases within 500-word logical containers.

Avoid ambiguous references; repeat the specific product name or key feature in section summaries to provide context for AI.

Eliminate vague pronouns (e.g., 'It', 'This') and replace them with explicit references to the Brand Name, Product Name, or specific Feature.