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llm-parsability

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Use when auditing content pages for AI discoverability. Applies to any informational page intended to appear in AI-generated answers, search snippets, or knowledge base extraction.

skills/llm-parsability/SKILL.md

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# Make content easy for LLMs to parse

AI assistants and answer engines (including Google's AI Overviews) extract and cite content from web pages—pages with clear structure and explicit context are more likely to be accurately cited and surfaced in AI-generated responses.

## Quick Reference

- Use semantic HTML headings, paragraphs, and lists — LLMs prefer structured markup
- Avoid content locked behind JavaScript rendering or requiring user interaction
- Write clear, self-contained sections that make sense out of full-page context
- Structured data (JSON-LD) provides machine-readable context alongside human-readable text

## Check

Evaluate whether the page content is parseable by an LLM. Check: (1) Is content in semantic HTML tags (<h1>–<h6>, <p>, <ul>, <ol>, <table>)? (2) Is key content accessible without JavaScript? (3) Are section headings descriptive enough to stand alone? (4) Does the page have JSON-LD structured data? (5) Are there FAQ sections or explicit Q&A patterns that match common search queries?
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