Move from visibility to evidence
Visibility metrics are useful starting points. Digraph keeps the prompt, response, cited sources, and competitor context together so teams can inspect the evidence behind a result.
At a glance
Teams comparing AI-search visibility platforms for evidence depth, competitor context, and repeatable analysis.
| Capability | Digraph | Peec AI |
|---|---|---|
| AI search visibility monitoring | Track answers, mentions, recommendations, and visibility over time | Tracks visibility, position, sentiment, and share of voice |
| Prompt monitoring | Organize and monitor the questions that matter to your market | Prompt library, intent grouping, and AI-model tracking |
| Cited-source investigation | Identify cited sources and the source domains influencing answers | Identifies third-party sources cited by AI models |
| Competitor benchmarking | Benchmark your brand against the competitors buyers consider | Competitive visibility and share-of-voice analysis |
Support a shared analysis workflow
Digraph gives marketing, SEO, and research teams a consistent record of what changed in AI answers and where an investigation should begin.
Why teams choose Digraph
Digraph brings the evidence behind AI-search visibility into one focused workflow.
Answer-level evidence
Review the prompts and tracked answers where your brand appears—or does not.
Source and competitor context
See cited domains and competing brands alongside the answer patterns you are measuring.
A clear path to investigation
Use the observed gaps to focus research, content planning, and performance review.