See the evidence behind the score
A visibility number is most useful when a team can inspect the answers, prompts, and sources that produced it. Digraph keeps those pieces connected.
At a glance
Teams that want to compare AI search monitoring workflows with a focus on prompt and source analysis.
| Capability | Digraph | Scrunch |
|---|---|---|
| AI search visibility monitoring | Track answers, mentions, recommendations, and visibility over time | AI search monitoring and optimization |
| Source-level investigation | Identify cited sources and the source domains influencing answers | Evaluate source-analysis depth for your use case |
| Competitor benchmarking | Benchmark your brand against the competitors buyers consider | Evaluate competitive workflows for your use case |
| Prompt monitoring | Organize and monitor the questions that matter to your market | Evaluate prompt management for your use case |
Use changes to guide investigation
When recommendation coverage moves, Digraph helps teams trace the movement back to competitors, topics, and citations before deciding what to do next.
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.