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LLM Parsability

Analyzes how well LLMs can parse and understand the content

Analyzes how well LLMs can parse and understand the content

Rule IDai/llm-parsability
CategoryAI
ScopePer-page
Severityinfo
Weight3/10
DefaultEnabled

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
ScoreStatusMeaning
70-100PassGood LLM parsability
40-69WarningCould be improved
0-39FailPoor parsability

Enable / Disable

Disable this rule

squirrel.toml
toml
[rules]
disable = ["ai/llm-parsability"]

Disable all AI rules

squirrel.toml
toml
[rules]
disable = ["ai/*"]

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