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Citable

Definition

Citation

Also known as: Source attribution, reference

A citation, in the context of answer engines, is the explicit link or reference that a generated answer attaches to the source passage it drew on — the numbered footnote in Perplexity, the linked sources beside a Google AI Overview, or the source list under a ChatGPT search answer. Citations are the unit of visibility that Answer Engine Optimization is measured by.

The word carries two meanings on this site, and both matter.

Citations a page receives. When an answer engine uses a passage, it usually attaches a link back to the page. Whether a passage is cited rather than silently paraphrased depends largely on whether it is the answer: a self-contained sentence or two that resolves the question, from a page with a visible author and date. Counting those links, per engine and per query set, is the core of measuring AI visibility.

Citations a page makes. Outbound references to primary sources are one of the few quality signals a machine can verify cheaply. The GEO paper reported that adding citations, quotations and statistics to content improved its visibility in generative engine responses by up to 40%, while keyword-oriented edits did not help.

Both can be made explicit in markup. Schema.org defines a citation property on CreativeWork — a reference to another creative work such as a publication or web page — and this site fills it from each guide's sources list:

json
{
  "@type": "TechArticle",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "GEO: Generative Engine Optimization",
      "url": "https://arxiv.org/abs/2311.09735"
    }
  ]
}

Frequently asked questions

Does citing sources on my own page make it more likely to be cited?

The evidence says yes. The GEO study by Aggarwal et al. found that adding citations, quotations from authorities and statistics to a page increased its visibility in generated answers by up to 40% in their metric, whereas adding keywords did not. Outbound citations are also a trust signal a retrieval system can check without reading the whole page.

Related terms

Guides that use this term

  • Measurement

    Measuring AI visibility: how to track citations in ChatGPT, Perplexity and AI Overviews

    AI visibility is measured from four partial signals, because no answer engine reports citations directly. Referral traffic identifies clicks from chatgpt.com, perplexity.ai, copilot.microsoft.com, claude.ai and gemini.google.com; server logs show which AI crawlers fetch which pages; a fixed panel of prompts run on a schedule gives citation rate and share of answer; and Google Search Console reports AI Overview clicks only blended into Web search totals.

    8 min read

  • Content

    E-E-A-T for answer engines: authors, dates and sources that machines can verify

    E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's description of a reliable source, and it is not a ranking factor. For answer engines it translates into signals a machine can verify: a named author with a profile page and Person markup, visible published and updated dates that match the structured data, outbound links to primary sources with a citation list, first-hand evidence, and an About page that says who is responsible.

    8 min read

  • Content

    How to write answer-first content that LLMs can quote

    Answer-first content opens every page and every section with a self-contained answer of roughly 40–70 words, then explains, qualifies and expands. The first sentence names the main entity, each heading carries exactly one question, and no passage depends on a pronoun or a paragraph elsewhere. Written this way, a passage still makes sense after an answer engine splits the page into chunks and retrieves one of them in isolation.

    8 min read