Content Structure Score

Content Structure Score measures how well a webpage's content is organized for both human readability and AI parsing. Well-structured content is more likely to be accurately understood, extracted, and cited by AI systems.

Key Factors:

Heading Hierarchy (H1-H6)

• Single, descriptive H1
• Logical H2/H3 structure
• Headings reflect content sections
• Keywords in headings

Lists and Formatting

• Bulleted lists for features/benefits
• Numbered lists for steps/processes
• Tables for comparisons
• Clear visual hierarchy

Content Organization

• Answer first, elaborate second
• Key information early in content
• Short paragraphs (2-4 sentences)
• Logical topic flow

Semantic HTML

• Proper use of article, section, aside
• Figure/figcaption for images
• Blockquote for citations
• Code blocks for technical content

Why Structure Matters for AI:

• LLMs process text sequentially
• Clear structure aids comprehension
• Lists are easily extracted
• Headings indicate topic changes
• Structured data enhances signals

Scoring Criteria:

• 90-100: Excellent structure, highly optimized
• 70-89: Good structure with minor improvements
• 50-69: Adequate but could be clearer
• Below 50: Needs significant restructuring

Improving content structure is often the quickest way to boost AI visibility scores.