AI Extractability Score Explained

What is AI Extractability?

AI Extractability is a proprietary metric (0-100) that measures how easily AI systems like ChatGPT, Perplexity, and Google SGE can understand, extract, and cite information from your content.

How We Calculate the Score

Your AI Extractability score is calculated from four key factors:

Direct Answer Presence (25%)

Does your content provide clear, concise answers to questions? We look for:

• Definition paragraphs that start with "X is..."
• FAQ sections with question-answer pairs
• Summary statements at the beginning of sections
• Clear conclusions and takeaways

Factual Density (25%)

AI systems prefer content rich in specific, verifiable information:

• Statistics and numerical data
• Specific dates and timeframes
• Named entities (people, places, organizations)
• Cited sources and references

Content Structure (25%)

Well-organized content is easier for AI to parse:

• Clear heading hierarchy (H1, H2, H3)
• Logical content flow
• Use of lists and tables for structured data
• Short, focused paragraphs

Semantic Clarity (25%)

How clearly your content communicates its topic:

• Topic consistency throughout the page
• Clear relationship between headings and content
• Unambiguous language
• Proper context for technical terms

Score Interpretation

Improving Your Score

Quick Wins

• Add a clear definition or answer in the first paragraph
• Include specific statistics and data points
• Add an FAQ section at the end of articles
• Use descriptive headings that form complete questions

Structural Improvements

• Break long paragraphs into shorter ones
• Convert text lists into bullet points
• Add tables for comparison data
• Include summary boxes or key takeaways

Content Enhancements

• Cite authoritative sources
• Include expert quotes with attribution
• Add publication and update dates
• Include author credentials when relevant

Tracking Progress