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.

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 signals 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.

Heading structure signals 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.