How do you find source gaps when AI answers cite competitors but never cite your site?

Start by analyzing the sources that are actually being selected.

For a stable set of target questions, record cited domains and classify them: primary research, government/standards sources, specialist publications, community discussions, vendor documentation, comparison sites, or competitor pages. Then compare what those sources provide that your page does not.

Look for evidence gaps rather than word-count gaps. Selected sources may contain original data, clearer definitions, named methodology, first-party examples, stronger references, fresher facts, or a more direct answer to the exact question.

Audit entity trust as well. Does the site clearly identify the organization, authors, expertise, editorial policies, and supporting references? Are important claims corroborated elsewhere on the web? A technically excellent page can still be a weak source if the system cannot easily establish who is making the claim or why it should be trusted.

Examine retrievability. The needed answer may be buried inside a long page, expressed only in images, or spread across tabs and scripts. Add clear headings, concise answer passages, tables, definitions, and direct evidence without turning the page into repetitive FAQ spam.

Finally, decide whether your site should be the primary source for that question. Sometimes the appropriate strategy is to publish stronger first-party evidence; other times it is to earn accurate coverage on the types of third-party sources the answer systems already rely on.

The objective is not to imitate cited pages. It is to understand why they are useful evidence and close legitimate gaps in your own source quality and corroboration.