AI Visibility
measured34/100
Emerging · in ETL & Data Integration
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals11/100
Weak fundamentals
Avg Prompt Score
30
across 379 prompts
AI Share of Voice
30%
across 379 prompts
Critical Issues
5
critical + high
Shortlist Position
3/80
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
Improvado surfaces in 3/80 Etl Data Integration discovery prompts. Claim this profile to see which 77 prompts you're missing and how to win them.
Improvado is already visible for marketing-focused data integration queries (e.g., “data integration software for marketing analytics” is cited by ChatGPT), and it has strong third-party authority via G2 and Gartner Peer Insights. The biggest AI-citation risk is category-level ETL/data-integration discovery queries (e.g., “ETL tools for improving data quality and consistency” and “what is ETL and data integration software”) where the brand is currently not appearing in shortlists; the single highest-ROI fix is to publish crawlable, evaluation-ready ETL/data-integration explainer + FAQ content that maps directly to those ETL discovery questions (not just marketing ETL).
Based on audit of improvado.io · May 7, 2026