LLM.txt & AI Crawler Setup Guide for Review sites

Create a text file at /reviews.txt with a brief introduction to your review site's primary categories and review focus.

Include markdown-style links to your most critical review categories, comparison pages, and 'best of' lists.

Add a 'Review Schema FAQ' section to directly address common queries about your review methodology, rating scales, and data sources.

User-agent: ReviewBot Allow: /category/ Allow: /product/ Allow: /comparison/ Disallow: /user-comments/ Disallow: /login/

Verify your crawler permissions using a simulated bot checker tool for review-specific agents.

Monitor crawl frequency in your server logs to ensure AI bots are accessing key review pages and not scraping low-value content.

Wrap individual product reviews within <article> tags to clearly delineate distinct review units.

Use <section> with descriptive 'aria-label' attributes (e.g., 'aria-label="Pros"', 'aria-label="Cons"', 'aria-label="Key Features"') for specific review components.

Ensure all comparison tables use proper <thead>, <tbody>, and <th> tags for structured data extraction of product attributes and scores.

Keep core review details, pros/cons, and final scores within distinct, easily digestible segments (e.g., < 500 words per key section).

Avoid ambiguous references; explicitly state the product name or feature being discussed in each segment summary.

Eliminate vague pronouns and ensure technical specifications, pricing, and feature mentions are precise and directly linked to the product.