AI Visibility
measured33/100
Emerging · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
6
across 311 prompts
AI Share of Voice
6%
across 311 prompts
Critical Issues
3
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.
Valgrind.org is highly likely to be cited by AI engines for developer-focused “how to use Valgrind / interpret output” queries, but it is unlikely to be cited for B2B software evaluation patterns like “Valgrind pricing” or “Valgrind vs competitor” because it is an open-source tool site rather than a SaaS vendor. The single highest-ROI fix is to add structured, crawlable evaluation-style content (FAQPage + clear “what it is / who it’s for / alternatives” pages) that AI can quote directly for comparison and decision queries.
Based on audit of valgrind.org · Oct 9, 2026