[unCited]
ProductCitation IndexBlogBook
[unCited]/Bitbucket
ProductCitation IndexBlogBook
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AEO Score

75

Strong Presence

Avg Prompt Score

75

across 8 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
5 prompts
Cited100%5/5
Share of voice100%avg
Engine consensus0%of engines
Competitors2.8avg/cited
Sentiment—no data
🛡️Trust
2 prompts
Cited100%2/2
Share of voice100%avg
Engine consensus0%of engines
Competitors1.5avg/cited
Sentiment—no data
💰Conversion
1 prompt
Cited100%1/1
Share of voice100%avg
Engine consensus0%of engines
Competitors0.0avg/cited
Sentiment—no data

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

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

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