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 | Citation monitoring to investigate the sources appearing in AI answers |
| Competitor benchmarking | Benchmark your brand against the competitors buyers consider | Compares brand presence in AI answers against competitors |
| Prompt monitoring | Organize and monitor the questions that matter to your market | Tracks AI answers for monitored prompts |
Run a useful side-by-side evaluation
Use a prompt where a competitor appears and your brand does not. In each product, inspect the answer, cited URL, and competitor context. Check whether your team can distinguish a missing mention from a missing citation and repeat the investigation on another date.
Published by Digraph. Competitor capabilities are summarized from the official sources below, reviewed on . This is a product-documentation comparison, not a hands-on benchmark. Confirm current plan limits and coverage with each provider.
Review Digraph’s documented features and AI search visibility evaluation guide before building your shortlist.
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.
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