AI Visibility
measured16/100
Emerging · in HR
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
9
across 162 prompts
AI Share of Voice
9%
across 162 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in HR
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.
Per-stage performance
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 KodeKloud is visible in
1Executive summary
KodeKloud is likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (notably G2) and a publicly crawlable pricing page with tier packaging. The biggest citation risk is conversion-stage “brand pricing” and evaluation-stage “SoftwareApplication/FAQ structured extraction” because there’s no clear evidence (from live search) of SoftwareApplication/FAQPage structured data and first-party [Brand] vs [Competitor] comparison pages.
Based on audit of kodekloud.com · Oct 3, 2026