LLM.txt & AI Crawler Setup Guide for Training companies

Create a text file at `/course-catalog.txt` with a brief introduction to your training company's core offerings.

Include markdown-style links to your most important course landing pages, certification pathways, and instructor bios.

Add a 'Curriculum FAQ' section to directly answer common AI learning bot queries about prerequisites, learning objectives, and accreditation.

User-agent: LearningBot Allow: /courses/ Allow: /certifications/ Disallow: /registration-confirmation/

Verify your crawler permissions using a simulated bot tester that mimics AI learning aggregators.

Monitor crawl frequency in your server logs to ensure AI bots are hitting relevant course pages and not administrative sections.

Wrap individual course descriptions and learning modules in `<article>` tags to signal their primary content status.

Use `<section>` with descriptive `aria-label` attributes (e.g., 'learning-objectives', 'prerequisites', 'course-modules') for distinct course segments.

Ensure all tables detailing course schedules, pricing tiers, or skill outcomes use proper `<thead>` and `<tbody>` tags for structured data extraction.

Keep related learning concepts, module objectives, and assessment criteria within distinct content blocks (ideally under 500 words).

Avoid ambiguous references; repeat the specific course name or module title in section summaries.

Eliminate vague pronouns (e.g., 'this', 'it', 'they') and replace them with the actual course module, concept, or skill name.