[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Bitbucket
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

75

Strong Presence

Avg Prompt Score

100

across 624 prompts

AI Share of Voice

100%

across 616 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
522 category
Cited100%522/522
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
9 brand-level
Cited100%9/9
Share of voice100%avg
Engine consensus100%of engines
Competitors3.8avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors3.8avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors4.0avg/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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