Citation Signals
Signals in content that help AI models recognize and cite your website as a trustworthy source.
Citation signals are characteristics of web content that help AI models determine whether a source is citation-worthy. They are the signals that make AI answer engines select your content over others.
Important citation signals
Source references: links to primary sources and research. Data and statistics: concrete figures with source references. Author information: clear attribution with expertise indicators. Current information: recent publication and modification dates. Unique insights: original research, proprietary data, or expert opinions.
Strengthening citation signals
Add external source links to claims, display publication dates prominently, use author schema with credentials, and write content that offers a unique perspective. AI models prefer sources that are themselves well-sourced.
Checklist: concrete citation signals
- Author name and bio on every content page, with photo, job title, and expertise description
- Publication date visible on the page and in the HTML (datePublished)
- Modification date visible and in the HTML (dateModified)
- External source references for factual claims, with links to primary sources
- Internal links — bibliotheekterm to related, in-depth content on your own site
- Statistics and data with specific numbers, percentages, and source references
- Schema.org — bibliotheekterm Article markup with author, datePublished, dateModified, and publisher
- Schema.org Person markup for author pages with credentials and expertise
- Quotes and citations from experts or studies, properly attributed
- Original research or data not found elsewhere
- Methodology explanation for original research or data analysis
- Consistent publishing schedule demonstrating the source is active and current
Author information in Schema.org
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "How citation signals improve your AI visibility",
"author": {
"@type": "Person",
"name": "Jane Smith",
"url": "https://example.com/authors/jane-smith",
"jobTitle": "SEO Consultant",
"description": "Jane Smith is an SEO consultant with 12 years of experience in technical SEO and content optimization.",
"sameAs": [
"https://linkedin.com/in/janesmith",
"https://twitter.com/janesmith"
]
},
"publisher": {
"@type": "Organization",
"name": "Example Company",
"url": "https://example.com",
"logo": {
"@type": "ImageObject",
"url": "https://example.com/images/logo.png"
}
},
"datePublished": "2026-04-15",
"dateModified": "2026-04-28",
"mainEntityOfPage": "https://example.com/blog/citation-signals"
}
</script>What does our scanner check?
The scanner analyzes your page for the presence of citation signals: author information, publication dates, source references, Schema.org Article markup with author and datePublished/dateModified, and other signals that determine your citability. This is one of the most important components of the AEO — bibliotheekterm score.
Frequently asked questions
Which citation signals are most important?
The three most impactful citation signals are: (1) clear author information with demonstrable expertise, (2) source references to trustworthy external sources, and (3) current publication and modification dates. Together, these three elements give AI models the strongest signal that your content is citation-worthy.
Does every page need author information?
For informational content (blog posts, articles, guides), author information is crucial. For product pages, homepages, and category pages, it's less relevant. Focus on the pages you want to be cited by AI models.
How often should I update content for strong freshness signals?
This depends on your industry. For fast-changing topics (technology, legislation, finance), quarterly review is important. For evergreen content, annual review is sufficient. The key is that dateModified accurately reflects the last substantive change, not cosmetic adjustments.
Do internal links count as citation signals?
Yes. A strong internal link network shows that your site has an in-depth knowledge base on a topic. This strengthens your topical authority, which AI models factor in when selecting sources. Link to related, in-depth content on your own site.
How does citability for AI differ from traditional search engines?
With traditional search engines, it's about backlinks and PageRank — bibliotheekterm. With AI models, it's more about the substantive quality of the content itself: is it factual, well-sourced, current, and does it offer unique insights? AI models evaluate content more on substance and less on external popularity signals.
