A focused companion to SEO
SEO reporting answers important questions about rankings and traffic. Digraph focuses on how answer engines describe, recommend, and cite brands.
At a glance
SEO teams that need a dedicated AI search measurement layer alongside their broader organic search program.
| Capability | Digraph | Conductor |
|---|---|---|
| Traditional SEO workflow | AI-search-focused analysis | Broad SEO platform capabilities |
| AI answer visibility | Track answers, mentions, recommendations, and visibility over time | AI search capabilities within a broader SEO suite |
| Cited-source analysis | Identify cited sources and the source domains influencing answers | Evaluate source coverage for your use case |
| Competitor benchmarking in AI answers | Benchmark your brand against the competitors buyers consider | Evaluate AI-search competitive workflows for your use case |
Connect organic and AI search decisions
Use the same content and competitive strategy, but give AI-answer questions their own prompt set, source investigation, and measurement workflow.
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 Conductor alternative?
Choose a workflow your team can use with its real questions and evidence—not only a feature checklist.
How does Digraph compare with Conductor?
Conductor supports broad SEO programs. Digraph is purpose-built for the AI answer layer: prompts, answer visibility, citations, competitor coverage, and shifts across AI platforms.
What should a team evaluate when comparing Digraph and Conductor?
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 Conductor 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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