SIVRank · AI visibility measurement

Track Sources Returned in AI Answers

SIVRank records citation URLs returned in saved AI responses. This helps teams inspect which pages appeared for a query and where a brand may want to investigate source coverage.

Read the methodology

SIVRank records responses from configured AI providers. Results are model-reported, can vary between runs, and are not a guarantee of visibility or business outcomes.

01 · How it works

Inspect reported URLs by query and model

Citation data stays attached to the model evaluation that returned it. Review the full answer and timestamp before deciding whether a URL is relevant to the question.

  • Open returned URLs for a manual source check
  • Compare citation counts between repeated runs
  • See when a provider returned no citation URLs

02 · How it works

Identify source coverage questions

A returned URL is not proof that the page is authoritative, current, or the reason for an answer. Treat gaps as leads for review, not an explanation of model behavior.

  • Check page accuracy and publication date
  • Confirm the cited passage supports the relevant claim
  • Prioritize source improvements using verified business facts

03 · How it works

Keep citation reporting precise

SIVRank reports model-returned URLs; it does not independently crawl or validate the linked pages as part of an audit.

  • Label URLs as model-reported
  • Avoid unsupported authority ratings
  • Do not claim a citation caused a visibility change

Questions about track sources returned in ai answers

Does SIVRank verify every cited page?

No. URLs are returned by AI providers and should be opened and checked for relevance, accuracy, and currency.

Can I compare citations over time?

Yes. Repeat a saved query and review provider-level citation URL counts and the returned links in each saved audit.

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