Help Center•March 22, 2026
Table/List Density: Structured Content AI Can Extract
How tables and lists make your content easier for AI to parse and cite.
What it measures
This metric measures what percentage of your content is organized inside HTML tables, ordered lists, unordered lists, and definition lists.
Why it matters for AI
AI systems love structured content because it's easy to parse and extract into direct answers. When a user asks "what are the steps to..." or "compare X vs Y", AI looks for content already organized in lists or tables. Pages with this structure are significantly more likely to be featured in AI-generated responses.
| Density | Score | AI impact |
|---|---|---|
| < 5% | Low | AI has to extract structure from prose — harder and less accurate |
| 5–10% | Average | Some structured content but room for more |
| ≥ 10% | Good | Easy for AI to extract data and comparisons |
How to improve
- Convert comparisons into HTML tables — Any "X vs Y" content benefits from a table
- Use ordered lists for processes — Step-by-step instructions should be <ol> lists
- Add summary tables — For data-heavy sections, add a comparison or summary table
- Use unordered lists for features/benefits — Key points and feature lists should be <ul> lists
💡 Quick win
Find your longest paragraph that lists multiple items and convert it into a proper HTML list.
