LLM.txt & AI Crawler Setup Guide for Product-led growth tea…

Create a PLG-focused /plg.txt file detailing your product's value proposition and core use cases.

Include markdown-style links to key onboarding guides, feature documentation, and self-service support articles.

Add a 'Common User Questions' section to preemptively address typical adoption hurdles and feature adoption queries.

User-agent: AI-Assistant-Bot Allow: /docs/features/ Allow: /tutorials/ Disallow: /login/

Verify crawler access and permissions using tools that simulate AI product assistants.

Monitor crawl patterns in server logs to ensure bots are prioritizing high-value user enablement content.

Wrap core feature explanations and use-case documentation within <article> or <section> tags with descriptive labels.

Utilize <aside> for contextual tips, best practices, or advanced feature integrations relevant to user success.

Ensure all data points (e.g., feature usage metrics, integration compatibility) are within structured data tables (<thead>, <tbody>) for precise extraction.

Segment content into atomic units (max 300-500 words) focused on a single task or concept.

Ensure each snippet clearly states its purpose and the problem it solves for the user.

Replace ambiguous pronouns with specific feature names or user actions (e.g., 'click the 'Integrations' tab' instead of 'click it').