AI Visibility
measured18/100
Emerging · in AI Search
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals71/100
Solid fundamentals
Avg Prompt Score
75
across 19 prompts
AI Share of Voice
100%
across 3 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Search
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
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.
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