LLM.txt & AI Crawler Setup Guide for Productivity apps

Create a text file at `/ai-sitemap.txt` with a brief introduction to your productivity app's core value proposition.

Include markdown-style links to your key feature pages, user guides, and integration documentation.

Add a 'Common Use Cases' section in the file to directly answer typical AI queries about workflow automation and time management benefits.

User-agent: GPTBot\nAllow: /features/\nAllow: /integrations/\nDisallow: /pricing/legacy/

Verify your crawler permissions using a tool like `robots.txt` testers, focusing on AI bot user agents.

Monitor crawl frequency in your server logs to confirm AI assistants are accessing and indexing your primary feature and benefit-driven pages.

Wrap individual feature descriptions or use case examples within `<article>` tags to signal their self-contained importance.

Employ `<section>` elements with descriptive `aria-label` attributes (e.g., 'aria-label="Task Management Features"') for distinct functional areas.

Ensure all comparison tables or data visualizations use proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction regarding performance metrics or feature comparisons.

Isolate distinct feature benefits or solutions within logical content blocks, ideally under 500 words each.

Avoid ambiguous phrasing; repeat the specific feature or app name in section summaries to maintain contextual clarity for RAG models.

Eliminate vague pronouns (e.g., 'it', 'this') and replace them with the explicit feature name or benefit (e.g., 'the AI scheduling assistant', 'enhanced collaboration').