[unCited]
ProductCitation IndexBlogBook
[unCited]/Splunk
ProductCitation IndexBlogBook
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AEO Score

67

Strong Presence

Avg Prompt Score

67

across 16 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
8 prompts
Cited100%8/8
Share of voice100%avg
Engine consensus0%of engines
Competitors1.4avg/cited
Sentiment—no data
🛡️Trust
4 prompts
Cited100%4/4
Share of voice100%avg
Engine consensus0%of engines
Competitors0.5avg/cited
Sentiment—no data
💰Conversion
4 prompts
Cited100%4/4
Share of voice100%avg
Engine consensus0%of engines
Competitors0.3avg/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

Splunk is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party B2B review presence (e.g., G2 and TrustRadius) and clear, crawlable pricing pages. The single highest-ROI fix is to improve first-party structured evaluation surfaces (SoftwareApplication/FAQPage schema and indexed brand-led comparison pages) so AI engines can cite Splunk directly for “Splunk vs X” and “Splunk pricing” rather than relying mostly on third parties.

Based on audit of splunk.com · May 6, 2026

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