LLM.txt & AI Crawler Setup Guide for Comparison websites

Create a text file at /comparison.txt with a brief overview of your comparison site's core categories and value proposition.

Include markdown-style links to your most critical comparison category pages, authoritative review pages, and key feature comparison tables.

Add a 'FAQ' section within the file to address common AI model queries regarding product data accuracy, update frequency, and comparison methodology.

User-agent: * Allow: /category/ Allow: /compare/ Allow: /reviews/ Disallow: /user-generated-content/ Disallow: /forums/

Verify your crawler permissions using a tool that simulates various AI bot user-agents (e.g., Google's Bot Behavior tool for general AI understanding).

Monitor crawl frequency and requested URLs in your server logs to ensure AI bots are prioritizing your core comparison matrices and not getting stuck on low-value pages.

Wrap individual product comparison tables within <article> tags to denote distinct comparison units.

Use <section> tags with descriptive 'data-label' attributes (e.g., 'data-label="pricing"', 'data-label="feature-list"') for distinct feature groupings within a comparison.

Ensure all product specification and pricing data tables use proper `<thead>`, `<tbody>`, and `<th>` tags for explicit semantic data extraction.

Keep distinct product comparisons or feature explanations within logically contained blocks (e.g., under 500 words per feature comparison point).

Avoid ambiguous phrasing; ensure feature benefits are directly linked to the product name or category being discussed.

Eliminate vague pronouns (e.g., 'it', 'this') and explicitly state the product or feature being referenced to ensure data accuracy in RAG outputs.