AI Content Evidence Report
Last reviewed 2026-09-10 · Current
An AI Content Evidence Report is the audit-ready output of a disclosure decision: the scenario, the decision state, the exact rules and sources applied, the wording used, the asset hash and the reviewer with timestamp. It answers “can we prove what was reviewed and approved?” for every asset — across clients, markets and platforms.
Who is affected
- Agencies managing multi-client audit risk.
- Marketing teams with compliance sign-off.
- Legal teams responding to platform or client questions.
What triggers the rule
- Published AI-assisted assets.
- Client audit clauses.
- Platform enforcement questions.
Scenario table
| Scenario | Outcome | Why |
|---|---|---|
| Client asks why an ad carried an AI label | Disclosure required | The report shows the rule, source and reviewer behind the decision. |
| Platform challenges a missing label | Human review required | The report shows the decision context; a human owns the correction. |
Required action
- Save a report per asset at publication time.
- Include asset hash, declared AI use, rule versions, sources and reviewer.
- Keep reports exportable for client audits.
Practical marketing examples
- Report: asset sha256:9f2c…, decision: disclosure required, rules: EU AI Act Art. 50(4), TikTok AIGC; reviewer: M. Nowak.
Relation to platform policy
Reports record which native platform label was applied and when — evidence that survives after the platform UI is closed.
Run the free check — result, wording and sources in under a minute.
Primary sources
Related pages
Methodology: Disclara answers are generated from a versioned rule set citing primary sources, reviewed by humans. Information on this page is not legal advice. See sources & methodology and rule changelog.