AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals34/100
Weak fundamentals
Avg Prompt Score
100
across 114 prompts
AI Share of Voice
100%
across 114 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Applications
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.
Per-stage performance
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.
Executive summary
Chromium.org is unlikely to be cited as a B2B software vendor because it is primarily an open-source browser project site, not a commercial SaaS product with pricing, evaluation pages, and structured vendor metadata. The biggest AI-citation risk is evaluation/conversion query patterns like “Chromium pricing” and “Chromium vs Google Chrome” where AI engines need crawlable, structured first-party pages (pricing + comparison + schema). Highest-ROI fix: add crawlable, structured first-party “Chromium vs Chrome” and “Chromium pricing/monetization (if any)” style pages with FAQPage/Organization schema and clear entity mapping to the Chromium project.
Based on audit of chromium.org · Oct 6, 2026