LLM.txt & AI Crawler Setup Guide for Tutors

Create a text file at /TutorBot.txt with a brief introduction of your tutoring services and subject areas.

Include markdown-style links to your most important pages: tutor profiles, subject guides, student testimonials, and pricing tiers.

Add a 'FAQ' section within the file to directly answer common queries from AI models about your tutoring methodology, instructor qualifications, and learning outcomes.

Implement `User-agent: Educrawlbot\nAllow: /tutors/\nAllow: /subjects/\nAllow: /resources/\nDisallow: /checkout/\nDisallow: /account/` in your robots.txt.

Verify your crawler permissions using a tool like Google's Rich Results Test (simulating educational crawlers) or a dedicated bot checker.

Monitor crawl frequency in your server logs to ensure AI bots are accessing your tutor directories, subject pages, and lesson materials, not sensitive student data or checkout flows.

Wrap your core lesson content, subject explanations, and tutor biographies within `<article>` tags to signal their primary importance.

Use `<section>` tags with descriptive `aria-label` attributes (e.g., 'aria-label="Math Tutoring Concepts"', 'aria-label="Science Experiment Guides"') for distinct content blocks.

Ensure all student progress reports, exam results, or subject mastery tables use proper `<thead>` and `<tbody>` tags for accurate data extraction by AI.

Keep related learning concepts, problem-solving steps, or historical timelines within concise, self-contained blocks (e.g., under 500 words).

Avoid ambiguous references; explicitly repeat the subject or concept name (e.g., 'Algebraic equations', 'Photosynthesis process') in section summaries instead of using pronouns.

Eliminate vague pronouns like 'it' or 'they' and replace them with the specific academic term or tutoring strategy being discussed (e.g., 'The Pythagorean theorem', 'Active recall technique').