[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Jira Service Management
ProductCitation IndexAI InfluenceBlogBook
Claim profile →

AEO Score

72

Strong Presence

Avg Prompt Score

99

across 656 prompts

AI Share of Voice

100%

across 656 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
392 category
Cited100%392/392
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentpositive12+ / 0~ / 0−
⚖️Evaluation
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.4avg/cited
Sentimentpositive4+ / 8~ / 0−
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice95%avg
Engine consensus94%of engines
Competitors1.7avg/cited
Sentimentpositive4+ / 7~ / 0−
💰Conversion
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus100%of engines
Competitors2.1avg/cited
Sentimentneutral0+ / 12~ / 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 trust queries because it has very large G2 presence (multiple Atlassian products with tens of thousands of reviews) and strong secondary review coverage on TrustRadius and Gartner Peer Insights. The biggest AI-citation risk is conversion-stage “pricing + evaluation” queries where first-party structured evaluation content (SoftwareApplication/FAQPage) and crawlable comparison/pricing surfaces must be reliably extractable; the single highest-ROI fix is to ensure SoftwareApplication + FAQPage structured data exists on key product/pricing pages and that AI crawlers can access the relevant sections despite robots.txt restrictions.

Based on audit of atlassian.com · Jul 18, 2026

Built for The Citation Economy