AI Visibility
measured36/100
Emerging · in ETL & Data Integration
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
13
across 200 prompts
AI Share of Voice
9%
across 184 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in ETL & Data Integration
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.
Hitachi Vantara is already a credible AI-citation target for evaluation-stage queries because it has a strong G2 presence (100 reviews shown on the main seller page) and active Gartner Peer Insights vendor pages. The biggest risk for AI engines is conversion-stage and evaluation-stage “how much / which tier / vs competitors” queries: first-party comparison pages and crawlable SoftwareApplication/FAQPage structured evaluation content were not found in live checks, and robots.txt/llms.txt could not be verified via the tool.
Based on audit of hitachivantara.com · Sep 30, 2026