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

71

Strong Presence

Avg Prompt Score

71

across 16 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️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.

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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