How to write blog content that AI models cite
Structure your articles with clear claims, data, and attribution so AI models reference your brand as an authoritative source.
- 1
Target questions AI users actually ask
Research what questions people ask AI models about your industry. Use RankSignal to see what AI models currently say about your topic. Write content that directly answers these questions better than existing sources.
- 2
Lead with clear, citable statements
Start each section with a factual claim or definition that AI models can extract as a direct answer. "The average [metric] in [industry] is [number]" is more citable than a narrative introduction.
- 3
Include original data and statistics
AI models prioritise content with original data, research findings, and specific numbers. Run your own surveys, analyse your customer data, or compile industry benchmarks. Always cite your methodology.
- 4
Use clear structure with descriptive headings
Use H2 and H3 headings that match the questions users ask. "How much does X cost?" as a heading with a direct answer below is exactly what AI models look for. Add a table of contents for long articles.
- 5
Add Article schema markup
Implement Article or BlogPosting JSON-LD with headline, author (Person with name and credentials), datePublished, dateModified, publisher (Organization), and description. This helps AI models attribute your content correctly.
- 6
Update content regularly
AI models favour content that is kept current. Update statistics, refresh examples, and add new sections at least quarterly. Update the dateModified in your schema each time. Stale content loses its citation advantage.
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