AI Visibility
measured74/100
Frequently Cited · in Version Control
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals75/100
Solid fundamentals
Avg Prompt Score
94
across 496 prompts
AI Share of Voice
95%
across 488 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Version Control
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.
Bitbucket is highly likely to be cited by AI engines for evaluation-stage queries because it has first-party, crawlable comparison pages (e.g., Bitbucket vs. GitHub and Bitbucket vs. GitLab) and publicly visible pricing tiers. The single highest-ROI fix is to strengthen structured data coverage (SoftwareApplication + pricing Product/Offer + FAQPage targeting evaluation queries) and ensure it’s consistently present across the key product/comparison/pricing URLs so AI engines can extract and reuse it reliably.
Based on audit of bitbucket.org · May 6, 2026