Query conditions
The query, surface, date and observable response conditions behind each recorded answer.
Public evidence record · 24 August 2026
How Citable audits its own AI Search visibility.
A public first-party record of the evidence panel, limitations and remediation used on citable.agency. It demonstrates the method; it is not independent client outcome proof.
- Recorded
- 24 August 2026
- Evidence panel
- 32 frozen queries
- Surfaces
- Gemini, ChatGPT and partial Perplexity
- Evidence class
- First-party self-application audit
What the audit preserved
A useful audit keeps enough context for another person to challenge the interpretation and reproduce the next check.
Response baseline
Mentions, citations, source patterns and narrative accuracy kept as distinct observations.
Claims ledger
Public statements connected to an evidence status, boundary and review trail.
Implementation record
Decisions, owners, released changes and acceptance checks kept separate from findings.
Limitation log
Missing access, partial samples and unresolved uncertainty stated alongside the evidence.
Findings, not promises
What the evidence changed
Recognition
Branded recognition was stronger than category presence.
Sources
Owned sources dominated the available evidence; independent corroboration remained weak.
Discovery
Technical discovery was healthy enough that more publishing alone was not the primary answer.
Decision
The priority became factual consistency, inspectable evidence and stronger third-party support.
How a finding becomes accountable work
- 01
Observation. State what the evidence directly shows.
- 02
Interpretation. Explain the most defensible meaning and unresolved uncertainty.
- 03
Decision. Name the approved action, owner and dependency.
- 04
Acceptance. Define how the released change will be checked.
Need the same evidence discipline applied to your market?
Diagnose defines the question, preserves the baseline and turns findings into a prioritised decision record. Build begins only after the work is approved.
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