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AI Audit
AI Audit is Digraph’s monitoring foundation. It runs configured prompts across selected AI platforms and organizes the resulting answers into metrics, mentions, citations, sources, and competitor context.
Monitor how tracked AI platforms describe, mention, recommend, and cite your brand.
What AI Audit measures
AI Audit produces answer-level evidence and daily aggregates for your configured tracker. It is not a claim about every answer a platform could return; it reflects the prompts, platforms, region, language, and time window in the selected monitoring scope.
- Answers and prompt-level response context.
- Brand/entity mentions and recommendation classification.
- Citations, source domains, and source URLs.
- Visibility, recommendation, sentiment, and share-of-voice metrics.
Use AI Audit to investigate change
When a metric changes, review the affected platform and prompts first. Read the corresponding answers and source evidence before deciding whether a change is caused by your coverage, a competitor, the source mix, or normal answer variability.