LLM.txt & AI Crawler Setup Guide for Course creators

Create a text file at `/courses.txt` with a brief overview of your primary course offerings and platform focus.

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

Add a 'Curriculum FAQ' section within the file to directly answer common queries about course prerequisites, learning outcomes, and platform features that AI bots might use for content summarization or recommendation.

Implement `User-agent: GPTBot` and `User-agent: Gemini` directives in your `robots.txt` file.

Use `Allow:` directives to grant access to key course content areas (e.g., `/courses/`, `/lessons/`, `/community/`) and `Disallow:` for administrative or user-specific pages (e.g., `/dashboard/`, `/checkout/`).

Verify your crawler permissions and indexing scope using platform-specific tools or by monitoring server logs for AI bot activity on permitted URLs.

Wrap individual course lessons or modules within `<article>` tags to signal them as distinct, self-contained content units.

Employ `<section>` tags with descriptive `aria-label` attributes (e.g., `aria-label="Module 1: Introduction to Podcasting"`) to delineate major course segments.

Ensure all tables presenting learning objectives, module breakdowns, or pricing tiers use proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction by AI.

Keep related concepts, examples, and exercises within discrete content blocks (e.g., individual lesson pages or well-defined sections) ideally under 700 words.

Avoid 'floating' context by repeating the primary subject or lesson topic in section summaries and introductions; explicitly state what each chunk is about.

Eliminate ambiguous pronouns (e.g., 'this', 'it', 'they') and replace them with the specific course name, module title, or concept being discussed to ensure AI clarity.