LLM.txt & AI Crawler Setup Guide for YouTubers

Create a text file at /youtube-ai.txt with a brief intro of your channel's content pillars and target audience.

Include markdown-style links to your most important video playlists and key series.

Add a 'Video FAQ' section in the file to answer common AI training bot queries about your content themes directly.

Implement `User-agent: Google-Extended` (or relevant bot identifier) `Allow: /playlist?list=PL...` (for key playlists) `Allow: /watch?v=...` (for featured videos) `Disallow: /feed/` (to avoid indexing raw feed data)

Verify your channel's crawler permissions using AI bot simulators or by observing bot activity in YouTube Studio analytics.

Monitor crawl frequency and targeted content in server logs (if accessible via advanced analytics) or YouTube analytics to ensure AI bots are hitting the right video nodes.

Embed `VideoObject` schema markup in your video descriptions, including `name`, `description`, `uploadDate`, `thumbnailUrl`, and `duration`.

Use `hasPart` or `transcript` properties within the schema to highlight key segments or provide full transcripts for deeper AI understanding.

Ensure all video tags and category selections are accurate and descriptive to align with semantic content categorization.

Keep related video segments within distinct chapters, ideally with clear topic transitions and concise titles.

In your video descriptions, clearly state the primary subject, introduce key talking points, and avoid ambiguous references.

Eliminate vague pronouns and ensure consistent naming of topics, series, or recurring segments throughout your video descriptions and chapter markers.