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AEO Tool

AI Heading Structure Checker - Optimise for AI Citations

Paste your content and instantly analyse the H-tag hierarchy for AI citation readiness. Detect level jumps, missing H1s, single-word headings, and get a visual heading tree with an AEO structure score.

Markdown & HTML supportH-tag hierarchy validationQuestion heading detectionVisual heading treeZero cost ยท No sign-up

How to use this tool

  1. 1
    Paste your content

    Copy your blog post, landing page, or article - including all headings and body text. Supports both Markdown (##) and HTML (<h2>) formats.

  2. 2
    Review structure and issues

    The tool extracts your heading hierarchy, checks for level jumps, missing H1s, vague headings, and any structure that reduces AI citation readiness.

  3. 3
    Fix and rescore

    Make edits based on the recommendations and paste updated content to rescore. Aim for 85+ for maximum AI citation eligibility.

Why heading structure drives AI citations

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How AI systems use headings

When AI systems extract passages to cite, they use headings as "section labels" to understand what each block of content is about. An H2 reading "How to fix Core Web Vitals" tells an AI system that the following content answers that specific question - making it far more likely to be cited when someone asks that question.

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The correct heading hierarchy

Every page should have exactly one H1 (the page topic), multiple H2s (major sections), and optional H3s nested under H2s. Skipping from H1 to H3 is a structural error - not just a best practice violation. Google explicitly documents heading hierarchy as a semantic signal for content understanding.

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Why question-style headings win

Google's PAA algorithm and AI systems are fundamentally question-answering machines. When an H2 heading matches the format of a search query or People Also Ask question, the section below it becomes a direct answer candidate. Frame at least 30-40% of your H2s as questions about the topic.

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Frequently asked questions

Why does heading structure matter for AI citations?

AI systems use headings as section labels to understand what each block of content covers. A clear H1 โ†’ H2 โ†’ H3 hierarchy allows AI to identify and cite individual sections as standalone answers.

Should H2s be phrased as questions?

Yes - at least 30-40% of H2s should be question-phrased. Question headings match PAA and voice query formats, making the section directly citable as an answer.

Is it okay to skip heading levels, e.g. H1 โ†’ H3?

No. Skipping heading levels (H1 โ†’ H3 without H2) breaks semantic hierarchy. AI systems expect a logical H1 โ†’ H2 โ†’ H3 progression to understand content structure.

Does this tool work with HTML content?

Yes - paste raw HTML and the tool detects <h1>โ€ฆ<h6> tags automatically. It also parses Markdown (# Heading).

How long should headings be?

Aim for 4-8 words. Single-word headings ("Overview", "Benefits") lack context. Headings over 12 words become unwieldy. 5-7 word descriptive phrases are optimal for AI citation signals.