[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Elastic Stack
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

71

Strong Presence

Avg Prompt Score

33

across 572 prompts

AI Share of Voice

32%

across 556 prompts

Category Visibility

#15

in Observability & APM · of 102

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
506 category
Cited33%168/506
Share of voice26%avg
Engine consensus39%of engines
Competitors8.6avg/cited
Sentiment—no data
⚖️Evaluation
10 brand-level
Cited100%10/10
Share of voice100%avg
Engine consensus100%of engines
Competitors2.3avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors2.0avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.6avg/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.

Categories Elastic Stack is visible in

4
  • SIEM9 of 54→
  • Observability & APM15 of 102→
  • Developer Tools76 of 409→
  • Data Warehousenot yet measured→

Executive summary

Elastic is very likely to be cited by AI engines for evaluation and shortlist queries because it has strong third-party review authority (e.g., G2 seller page) and first-party evaluation content like “Elastic vs. Splunk” and “Elastic vs. OpenSearch” pages. The single highest-ROI fix is to strengthen structured-data + crawlability for evaluation surfaces (SoftwareApplication/FAQPage + ensure AI crawlers can reliably extract pricing and comparison content), because schema gaps and any JS-rendered elements reduce direct citation for “Elastic pricing” and “Elastic vs competitor” prompts.

Based on audit of elastic.co · May 11, 2026

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