High Priority
Implement PLG Knowledge Hub Sitemap (/plg.txt)
Establish a structured, machine-readable index of your product's educational and support content specifically for AI agents and product discovery bots.
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.
Configure your Product-led growth teams crawler protocols effortlessly.
Join 2,000+ teams scaling with AI.
High Priority
AI Product Assistant Selective Indexing
Fine-tune which sections of your PLG resources are prioritized for ingestion by AI assistants and product onboarding crawlers.
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.
Medium Priority
Semantic Content Structure for User Journeys
Leverage semantic HTML and clear content hierarchy to enable AI crawlers to map user journeys and product adoption pathways.
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.
High Priority
RAG-Optimized Onboarding Snippets
Structure your self-service content to be easily digestible and retrievable by Retrieval-Augmented Generation (RAG) pipelines for in-app assistance.
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').
