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.
COMPARING AI SEARCH VISIBILITY PLATFORMS
Looking for a Scrunch alternative?
Choose a workflow your team can use with its real questions and evidence—not only a feature checklist.
How does Digraph compare with Scrunch?
Both products help teams understand AI search. Digraph emphasizes the underlying answer evidence: prompts, cited sources, competitor coverage, and the trends behind a visibility change.
What should a team evaluate when comparing Digraph and Scrunch?
Evaluate the actual prompts your buyers ask, the AI systems and markets you need to cover, whether response and source evidence are available, how competitors are compared, and how a finding becomes a repeatable action for your team.
Can Digraph complement an existing Scrunch workflow?
Yes. Many teams use more than one research or measurement system. Digraph is designed to provide an evidence-led view of AI answers, prompts, citations, competitors, and follow-up work alongside the tools already used by SEO, brand, and content teams.
How should I run a fair AI search visibility evaluation?
Use the same defined prompt portfolio, competitors, markets, AI systems, and reporting period. Review the underlying answers and sources, not only aggregate scores, before deciding which workflow is the best fit.
RELATED COMPARISONS
Explore other AI visibility platforms
Digraph vs Peec AI
An AI visibility platform for prompts, rankings, sources, and competitive share of voice.
Digraph vs Evertune
A GEO and AI advertising platform for AI visibility, content activation, and campaign execution.
Digraph vs Profound
An AI search platform focused on visibility and brand presence.
Digraph vs Conductor
An enterprise SEO platform with AI search capabilities.
Digraph vs Semrush
A broad SEO and digital marketing platform with AI search features.
Digraph vs Ahrefs
An SEO platform for search research, competitive analysis, and content planning.