squirrelscan
GitHub

LLM Parsability

Analyzes how well LLMs can parse and understand the content

Analyzes how well LLMs can parse and understand the content

Rule ID ai/llm-parsability
Category Agent Experience
Scope Per-page
Severity info
Weight 3/10
Default Enabled

Solution

This rule evaluates how well LLMs can understand and extract information from your content, which affects AI-powered search and assistants. Improve parsability by using clear structure, explicit topic sentences, and well-organized sections. Avoid ambiguous pronouns and ensure context is clear. Use semantic HTML and structured data. Clear, well-written content for humans typically scores well for LLM parsability too.

Scoring

The rule scores content from 0-100 based on:

  • Clear semantic structure (headings, paragraphs, lists)
  • Logical content flow
  • Absence of layout text/navigation mixed with content
  • Clean text without excessive special characters
  • Well-defined sections and topics
  • Machine-readable formatting
Score Status Meaning
70-100 Pass Good LLM parsability
40-69 Warning Could be improved
0-39 Fail Poor parsability

Enable / Disable

Disable this rule

[rules]
disable = ["ai/llm-parsability"]

Disable all AI rules

[rules]
disable = ["ai/*"]

Type to search…

↑↓ navigate↵ openesc close