AI Visibility
measured42/100
Frequently Cited · in ETL & Data Integration
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals6/100
Weak fundamentals
Avg Prompt Score
52
across 522 prompts
AI Share of Voice
52%
across 522 prompts
Critical Issues
4
critical + high
Shortlist Position
5/80
Not Visible · Etl Data Integration Discovery
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.
Your visibility gap
Supermetrics surfaces in 5/80 Etl Data Integration discovery prompts. Claim this profile to see which 75 prompts you're missing and how to win them.
Supermetrics is already well-positioned for AI citation on brand-aware and marketing-ETL discovery queries (e.g., “ETL software for marketing analytics” and “data integration tools for digital marketing agencies” are cited by Claude/ChatGPT). The biggest citation risk is the pre-brand ETL/data-integration evaluation gap—especially “what is ETL and data integration software” and “what is data integration software and how does it work?”—because those queries require first-party, crawlable definition/how-it-works content that AI engines can quote directly.
Based on audit of supermetrics.com · Jun 10, 2026