CiteLens by ShiftNode Digital

Measurement protocol · v1.0

How CiteLens measures AI citations

CiteLens runs one controlled set of unbranded buyer questions across the AI services included in a plan. It records the source URLs returned with each answer and whether they include the audited domain. Paid plans also check Google AI Overviews when available. Last reviewed 28 July 2026.

What does an AI visibility audit measure?

An AI visibility audit measures whether an answer engine names or cites a website when it answers questions potential buyers could ask. CiteLens counts a citation when the audited domain appears in a returned source URL. A mention without a source link is recorded separately. The result is a sample, not a census, search-volume estimate or promise about the next answer.

The protocol

  1. Retrieve the submitted public page, metadata, headings, links, structured data and crawler rules.
  2. Generate roughly fifteen plausible, unbranded category and buyer-intent questions from that page.
  3. Send the same controlled set to the services included in the plan and retain the question, completion status and returned sources.
  4. Separate returned source evidence from the later interpretation, scores and prioritized recommendations.

Guest and Free audits use Perplexity. Paid audits repeat the same questions across five AI services and include a Google AI Overview check when one is available. If no overview appears, CiteLens records no appearance. If a service fails or returns an unusable response, CiteLens marks that check unmeasured.

Access is eligibility, not a guarantee

Robots rules can affect whether some services can reach a page, but the effect differs by crawler. CiteLens treats crawler diagnostics as access signals, not proof of indexing or citation. Allowing a crawler removes one access barrier. It does not make a page relevant, authoritative, indexed, or likely to be cited.

Source documentation

Limitations

  • Answer engines are probabilistic and can change sources between identical runs.
  • The generated questions are a controlled sample, not observed demand data.
  • Service outages and missing source data reduce the usable denominator.
  • CiteLens scores are not endorsed by any search or AI service.
  • No schema, crawler rule, llms.txt file or page edit can guarantee ranking, citation or inclusion in Google AI Overviews.