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S.02 · Structure & Readability

See your heading hierarchy the way AI systems parse it.

Paste your content and see your headings rendered as a structural tree — depth, distribution, and spacing visualised at a glance. High-influence pages averaged 12.5 times more headings than low-influence pages. See where you sit.

ToolS.02 · v2.0
Built forWriters and content strategists
Time to use~ 1 minute
OutputHeading tree + structural analysis
SourceZhang et al. 2026 · preprint
SEO

Heading Visualiser

Render your document heading hierarchy as a visual tree and catch structural issues — missing H1, skipped levels, and more.

What is a Heading Visualiser? ▼
A heading visualiser parses the heading structure of a document — the H1, H2, H3, and deeper levels — and renders it as a visual hierarchy tree. Heading structure is how both writers and machines understand what a document is about and how its topics relate to each other. A well-structured hierarchy has one clear H1 (the document topic), logically nested H2s (major sections), and H3s beneath them (subsections) — with no levels skipped. This tool accepts Markdown headings (#, ##, ###) or HTML heading tags and flags structural issues that would create ambiguity for readers, search engines, and AI systems parsing the document.
How to use the full heading analysis ▼
Section word count shows how much content sits beneath each heading. A heading with fewer than 100 words of content beneath it is typically either too thin to stand alone as a section or covering a topic that belongs inside an adjacent section. Use this to spot structural gaps before editing body copy.

Question headings are the headings most likely to be extracted by AI systems as FAQ answers. A heading phrased as a direct question indicates to AI that the section that follows is an answer — the most reliable extraction pattern. The count gives you a quick read on whether your heading structure is set up for AI FAQ extraction or whether it's purely declarative.

Keyword consistency checks whether your subheadings share vocabulary with your H1. A well-focused document should have subheadings that reinforce the main topic — not drift into synonyms or adjacent topics at the structure level. Inconsistency here often predicts a lower Lexical Consistency score when you run the GEO Score.
Why this matters for AI & SEO ▼
Heading structure communicates document hierarchy to both search engines and AI systems. A clear H1→H2→H3 progression helps AI systems understand which content is primary and which is subordinate — improving the precision of section-level extraction for summaries and featured snippets. Skipped levels (e.g. H2 → H4) create ambiguity in the document model. Note: search engines including Google have confirmed that multiple H1 tags are not a ranking penalty — the concern here is clarity of document structure for AI parsing, not technical SEO compliance.
Your heading tree will appear here after you click Analyse.
What the research shows

Why heading structure is a structural absorption dimension linked to AI citation frequency.

R.01

Heading density is one of the largest structural differentiators

Zhang et al. 2026 found that high-influence pages had 12.50 times more headings than low-influence pages — one of the largest ratios measured across all structural properties studied. Heading-dense content is navigable, parseable, and provides more anchor points for AI systems to extract from.

R.02

Headings segment content into extractable units

Each heading creates a bounded section with a clear topic anchor. AI systems can extract from a headed section with greater confidence about what the content is addressing. Long, unheaded blocks are harder to parse for extraction — and harder to cite with specificity.

R.03

Heading hierarchy indicates document maturity

A well-structured H1 → H2 → H3 hierarchy indicates a mature, organised document. Skipped levels, inconsistent depths, and flat structures (H1 only) are detectable by AI parsers and often indicate less developed, less citable content.

R.04

FAQ headings are flagged — not penalised

The tool detects question-format headings. FAQ structure affects how AI systems process and cite content. The visualiser labels question headings distinctly — giving you visibility without imposing a judgment on your structural choice.

Benchmarks

Structural density from Zhang et al. 2026.

12.5×
Heading density — high vs. low-influence pages
Zhang et al. 2026 · preprint
5.69×
Paragraph density advantage of AI-absorbed content
Zhang et al. 2026 · preprint
H1–H3
Minimum hierarchy depth for well-structured content
Evidence-informed guidance

Visualise your heading structure.

Paste any HTML or Markdown content. The tree renders instantly — depth, distribution, and spacing visible at a glance.

Analyse your content ↑ Next: Entity Prominence Map