Getting Cited by AI

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• What is the role of authoritative sourcing in GEO?

  Authoritative sourcing is a primary GEO signal. AI engines decide what to cite by weighting domain authority, named-expert authorship, publication context (peer-reviewed research, mainstream news, government and academic sources), inbound citation patterns, and structural cleanliness. A page with the same words but no source infrastructure is far less citable than one with credentialed authorship and authoritative inbound links.

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• What is Answer Engine Optimization (AEO)?

  Answer Engine Optimization (AEO) is the practice of structuring content so it gets selected as the direct answer in AI assistants, featured snippets, and AI Overviews, not merely as one of several sources. AEO rewards a clear question heading, a concise two-to-three-sentence answer immediately beneath it, and schema markup that makes the structure machine-readable.

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• What content formats perform best in AI search engines?

  The content formats that get cited by AI engines share one trait: they make the right answer easy to extract. FAQ pages with question headings and direct answers, comparison tables, definitional content, structured how-tos with HowTo schema, and statistic-rich pieces with named sources all do this. Long-form prose, no matter how good, gives an engine no obvious point to pull from.

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• How do you optimize content so AI models cite it as a source?

  Content most likely to win AI citation slots is fact-dense and structured for extraction: question-format headings with a direct two-to-three-sentence answer beneath each one, schema markup (Article, FAQPage, HowTo), named and credentialed authorship, recent updates, and inline citations to authoritative third-party sources. The Princeton/ACM KDD 2024 GEO study found that adding citations, statistics, and quotations improved source visibility by 30 to 40% compared to baseline content.

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• What is the role of E-E-A-T in AI search visibility?

  Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) is one of the most reliable proxies for what AI engines also weight. Both systems reward identifiable authorship by someone with verifiable expertise, transparent bio context, within-text citations, and a credible publishing entity. Content lacking these signals, anonymous, unattributed, or uncited, is treated as low-signal by Google quality systems and AI engines alike.

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