Brand visibility
Whether your brand is mentioned, cited or recommended in the tested AI responses, with the prompt and answer retained.
AI search visibility audits
CiteFrame evaluates AI-generated answers, source evidence and technical conditions, then delivers prioritized findings and implementation guidance.
An audit service for marketing, SEO and growth teams.
Coverage follows your questions, agreed scope and available evidence.
Whether your brand is mentioned, cited or recommended in the tested AI responses, with the prompt and answer retained.
Crawler access, response behavior, content extractability and structured information on the audited site.
Source observations and factual claims, checked against the selected site evidence where verification is possible.
Prioritized technical and content recommendations grounded in observed gaps, with limitations kept visible.
Actual findings from the anonymized sample audit. Read the original reports for the full measured scope and limitations.
| Observation | Sample result |
|---|---|
| AI visibility | 18 / 100 |
| Completed live evaluations | 10 / 10 |
| Synthetic crawler accessibility | 6 / 6 |
| Technical ingestion | PARTIAL · 40 / 100 |
| Structured context | PARTIAL · 60 / 100 |
| Citation / search evidence | UNMEASURED |
| Decisive factual claims supported | 0 / 7 |
Unsupported does not mean contradicted. Unavailable citation evidence is not scored as zero.
All six modeled crawler identities returned HTTP 200. The technical layer was still PARTIAL, and AI visibility measured 18/100.
Executive summary, pages 1–2
The action brief records missing /llms.txt and /llms-full.txt, and unsupported Markdown content negotiation. Proposed artifacts require validation in the actual framework and deployment.
Implementation brief, pages 2–3
None of the seven decisive claims was supported by the selected evidence. Citation evidence remained UNMEASURED, and competitor surfacing was UNAVAILABLE.
Implementation brief, pages 4–5

The agreed scope defines what you receive, from executive reporting to evidence and implementation starting points.
Observations stay attached to their context, so findings can be checked and revisited.
Agree on the website, audience and relevant branded, comparative and category queries.
Run the agreed evaluations and retain responses, execution outcomes and available source evidence.
Assess technical conditions and claim support where measurable. Identify missing or partial evidence explicitly.
Connect supported findings to technical and content actions, with limitations and validation requirements.
AI answers can vary across models and runs. An audit describes its tested scope and captured observations; it does not guarantee future mentions, citations or rankings.
For SEO, content and growth agencies that need evidence to guide an AI search engagement. Discuss the client’s questions, agree on the audit scope and use the findings to shape your implementation work.
Discuss an agency collaborationShare your website, the questions your team needs answered and any relevant constraints. We’ll discuss scope, deliverables and pricing.
Email an audit requestOpens your email app. You review and send the inquiry.
Request through Upwork (new tab)CiteFrame is provided by Ignacio Rotth.