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ProductCitation IndexAI InfluenceBlogBook
[unCited]/Advanced Roadmaps for Jira
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

78

Strong Presence

Avg Prompt Score

88

across 35 prompts

AI Share of Voice

97%

across 35 prompts

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
5 category
Cited100%5/5
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
12 brand-level
Cited100%12/12
Share of voice100%avg
Engine consensus100%of engines
Competitors2.8avg/cited
Sentimentpositive12+ / 12~ / 0−
🛡️Trust
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors3.0avg/cited
Sentimentpositive4+ / 8~ / 0−
💰Conversion
8 brand-level
Cited100%8/8
Share of voice88%avg
Engine consensus88%of engines
Competitors3.0avg/cited
Sentimentneutral2+ / 10~ / 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.

Executive summary

Atlassian is highly likely to be cited by AI engines for evaluation and conversion queries because it has strong third-party review authority (e.g., G2 seller page with 31,839+ reviews and Grid leader positioning) and first-party pricing pages with explicit per-user/month tiers (e.g., Confluence pricing). The single highest-ROI fix is to strengthen structured-data coverage for B2B evaluation (SoftwareApplication/FAQPage) and ensure comparison pages consistently include extractable, brand-led evaluation blocks (e.g., Jira vs Asana) so AI can cite Atlassian directly for “vs/alternatives/pricing” prompts.

Based on audit of atlassian.com · Jul 28, 2026

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