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What Makes Content Citable
AI citation optimization focuses on making content easy to retrieve, extract, and attribute accurately. Citable content has: direct answers to specific questions, verifiable facts with linked sources, clear authorship and publication dates, logical heading structure defining passage boundaries, and minimal ambiguity in pronouns and references.
Formatting for Extraction
Lead sections with 40-60 word direct answers before elaboration. Use definition blocks for key terms ('Technical SEO is...'). Present step-by-step processes as numbered lists. Tables comparing options are highly extractable. Avoid burying key facts in long narrative paragraphs without structural markers.
Source Attribution and E-E-A-T
Cite primary sources for statistics, link to original research, government data, or industry reports. Display author credentials prominently on expert content. Update publication and 'last reviewed' dates when refreshing content. AI systems weight source credibility when selecting citations.
Citability Auditing
Score priority pages against citability criteria: answer clarity (1-5), source density, structural extractability, author expertise signals, and freshness. Pages scoring below threshold get restructuring priority. Compare citability scores against competitor pages that currently earn AI citations for target queries.
Ethical Boundaries
Never fabricate statistics, create fake authors, or use misleading schema to simulate expertise. These tactics may briefly influence low-quality retrieval but damage long-term brand trust when users or AI systems identify inaccuracies. Sustainable citations come from genuine expertise.