AI Visibility
measured25/100
Emerging · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals45/100
Some gaps
Avg Prompt Score
11
across 158 prompts
AI Share of Voice
11%
across 158 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Developer Tools
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Graphviz.org is highly recognizable as open-source graph visualization software (strong entity clarity via Wikipedia and first-party documentation), so AI engines can answer “what is Graphviz” and “how to use DOT” reliably. The biggest citation risk is evaluation-style queries that expect commercial-style proof (pricing, comparisons, reviews, and structured evaluation content); the highest-ROI fix is to add crawlable, schema-backed FAQ/How-it-works pages that directly answer “Graphviz vs alternatives” and “Graphviz pricing/cost” style questions (even if free/open-source).
Based on audit of graphviz.org · Oct 7, 2026