Digraph
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Digraph vs 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.

Abstract network showing connected sources and answer intelligence
Answer evidence, connected

At a glance

SEO teams that need a dedicated AI search measurement layer alongside their broader organic search program.

CapabilityDigraphConductor
Traditional SEO workflowAI-search-focused analysisBroad SEO platform capabilities
AI answer visibilityTrack answers, mentions, recommendations, and visibility over timeAI search capabilities within a broader SEO suite
Cited-source analysisIdentify cited sources and the source domains influencing answersEvaluate source coverage for your use case
Competitor benchmarking in AI answersBenchmark your brand against the competitors buyers considerEvaluate AI-search competitive workflows for your use case

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.

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.

Evaluate with your own questions

The right comparison starts with the prompts, competitors, and markets that matter to your brand. Digraph gives your team a shared place to measure and investigate them.