Content Depth Analyzer
Paste your page HTML to measure how comprehensive and structured your content is. Checks 14 depth signals — word count, headings, lists, tables, links, images, and more — that AI engines use to decide whether to cite your content.
How it works
Paste your HTML
Right-click your page, select “View Page Source”, and copy the full HTML.
Analyze depth
We score 14 dimensions of content depth including structure, richness, and linking.
Get recommendations
See your depth score, grade, and actionable improvements for each check.
What This Tool Checks
Content depth is measured across 14 dimensions. Each dimension contributes to how AI engines assess the comprehensiveness, authority, and citability of your content.
Word Count
Measures total words in visible body content. Under 300 = thin; 300–999 = moderate; 1,000+ = comprehensive.
Heading Count & Depth
Checks for H1–H6 usage, verifies exactly one H1, and evaluates heading hierarchy depth.
Heading-to-Content Ratio
Calculates words per heading. Ideal range: 100–350 words per heading for well-sectioned content.
Paragraph Count & Length
Counts <p> tags and measures average paragraph length. Target: 5+ paragraphs, 50–100 words each.
List Usage (UL/OL)
Detects unordered and ordered lists. Lists are the #1 format extracted by AI engines for answer boxes.
Table Usage
Checks for data tables. Tables are ideal for comparisons, pricing, specs, and structured data.
Image Count & Alt Text
Counts images and checks alt text coverage. Alt text is required for AI engines to understand visual content.
Code Block Usage
Detects <pre> and <code> blocks. Relevant for technical content as a depth signal.
Blockquote / Citations
Checks for <blockquote> elements. Citations and expert quotes signal research depth and credibility.
Internal Link Count
Counts links to same-domain pages. Internal links signal content ecosystem depth and topic authority.
External Link Count
Counts outbound links. External citations to authoritative sources improve trust and credibility signals.
Content Sections (H2s)
Identifies distinct topic areas from H2 headings. More sections = broader, more comprehensive topic coverage.
Supporting Elements
Checks for <figure>, <figcaption>, and <aside> tags. Semantic HTML signals professional, well-structured content.
Entity / Definition Density
Counts <strong>/<b> terms under 60 characters. Bold terms signal to AI which entities and concepts are key.
Why Content Depth Determines AI Citation
When ChatGPT, Perplexity, Claude, or Google AI Overviews answer a question, they do not randomly select sources — they prefer pages that demonstrate comprehensive, well-structured coverage of the queried topic. Content depth is one of the strongest signals in this selection process.
Think of it from the AI engine’s perspective: it is trying to give users the most complete, accurate answer possible. A page with 300 words and no headings cannot provide the depth of context that a 2,000-word, well-sectioned page with tables, lists, and citations can. The deeper page wins the citation.
Depth is not just about length. A page can be long and still shallow — padded with filler text, lacking real structure, and missing the formats (lists, tables, citations) that AI engines prefer. Genuine depth means covering the topic from multiple angles, answering follow-up questions proactively, supporting claims with evidence, and organizing everything with clear semantic structure.
This tool measures the signals that are correlated with AI citation success. A high depth score does not guarantee citations, but a low score almost always prevents them. Use this tool to identify where your content falls short, then prioritize the highest-impact improvements.