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ProductCitation IndexAI InfluenceBlogBook
[unCited]/Jira Product Discovery
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

74

Strong Presence

Avg Prompt Score

63

across 472 prompts

AI Share of Voice

64%

across 472 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
431 category
Cited62%268/431
Share of voice61%avg
Engine consensus33%of engines
Competitors1.0avg/cited
Sentiment—no data
⚖️Evaluation
10 brand-level
Cited100%10/10
Share of voice100%avg
Engine consensus100%of engines
Competitors2.5avg/cited
Sentimentpositive17+ / 7~ / 0−
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors1.0avg/cited
Sentimentpositive3+ / 9~ / 0−
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors2.2avg/cited
Sentimentneutral1+ / 11~ / 0−

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.

Categories Jira Product Discovery is visible in

2
  • Product Experiencenot yet measured→
  • Project Management Softwarenot yet measured→

Executive summary

Atlassian is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review/analyst presence (e.g., G2 seller page, TrustRadius review volume, and Gartner Peer Insights). The single highest-ROI fix is to ensure Atlassian’s product pages include/validate B2B SoftwareApplication + FAQPage structured data for evaluation queries (e.g., pricing/integrations/“what is” and “vs” patterns), so AI can cite first-party content instead of relying primarily on third parties.

Based on audit of atlassian.com · Jun 6, 2026

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