LLM.txt & AI Crawler Setup Guide for Edtech businesses

Create a `curriculum.xml` file at the root directory, outlining your edtech platform's educational modules and courses.

Include XML sitemap entries with `<loc>` pointing to key curriculum pages, `<lastmod>` for freshness, and custom `<priority>` for critical learning paths.

Add a `<educationalContent>` schema to each curriculum entry, detailing learning objectives, target age groups, and prerequisite knowledge.

Define specific `User-agent` directives in `robots.txt` for known edtech crawlers (e.g., `Edubot`, `LearnCrawler`) and AI models (e.g., `EduGPTBot`).

Use `Allow` directives for core learning modules, course catalogs, and student progress dashboards.

Use `Disallow` directives for administrative interfaces, internal user data, and non-educational content sections to prevent irrelevant data capture.

Implement `schema.org/Course` markup for entire courses, including properties like `coursePrerequisites`, `hasPart` (for modules/lessons), and `educationalCredentialAwarded`.

Use `schema.org/Lesson` or `schema.org/VideoObject` for individual learning segments, specifying `learningTimeRequired` and `teaches` (skills learned).

Annotate interactive elements and assessments with `schema.org/Assessment` or `schema.org/Quiz` to highlight their pedagogical function.

Organize content into logical learning units, ideally under 700 words each, focusing on a single learning objective or concept.

Ensure each chunk begins with a clear topic sentence and ends with a summary or transition, reinforcing the primary subject.

Replace ambiguous pronouns and jargon with precise educational terminology (e.g., 'learning outcome', 'pedagogical approach') to enhance clarity for AI interpretation.