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

71

Strong Presence

Avg Prompt Score

21

across 204 prompts

AI Share of Voice

17%

across 188 prompts

Category Visibility

#1

in AI Search · of 59

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
188 brand-level
Cited38%71/188
Share of voice17%avg
Engine consensus46%of engines
Competitors32.1avg/cited
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus—
Competitors1.6avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors1.3avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.8avg/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 Search1 of 59→
  • SIEM10 of 50→
  • Observability & APM13 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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