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

71

Strong Presence

Avg Prompt Score

65

across 530 prompts

AI Share of Voice

65%

across 514 prompts

Category Visibility

#6

in AI Search · of 59

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
440 category
Cited64%280/440
Share of voice61%avg
Engine consensus51%of engines
Competitors1.7avg/cited
Sentiment—no data
⚖️Evaluation
10 brand-level
Cited80%8/10
Share of voice80%avg
Engine consensus—
Competitors1.6avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited80%4/5
Share of voice80%avg
Engine consensus—
Competitors1.3avg/cited
Sentiment—no data
💰Conversion
8 brand-level
Cited63%5/8
Share of voice58%avg
Engine consensus67%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 is visible in

3
  • AI Search6 of 59→
  • SIEM6 of 50→
  • Observability & APM16 of 44→

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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