AI Visibility
measured10/100
Emerging · in Customer Data Platform
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals10/100
Weak fundamentals
Avg Prompt Score
9
across 174 prompts
AI Share of Voice
9%
across 174 prompts
Critical Issues
4
critical + high
Shortlist Position
0/80
Not Visible · Etl Data Integration Discovery
How AI Visibility breaks down
in Customer Data Platform
Composite = 60% coverage + 40% engine breadth, 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
Alumio surfaces in 0/80 Etl Data Integration discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Alumio is a B2B iPaaS vendor with strong evaluation-stage surfaces: it has first-party comparison pages for key competitors (e.g., MuleSoft Anypoint Platform and Workato) and publicly described pricing models on its own domain. The biggest AI citation risk is category/discovery visibility for ETL/data-integration prompts (e.g., “what is ETL and data integration software” and “ETL software for real-time data processing”), plus missing/uncorroborated secondary review/analyst signals (TrustRadius, Gartner Peer Insights, Gartner/Forrester/IDC). Highest-ROI fix: publish crawlable, self-contained ETL/data-integration explainer + use-case pages that directly answer the missing discovery prompts, and add/verify SoftwareApplication/FAQPage structured data on those pages so AI engines can cite them for shortlist formation.
Based on audit of alumio.com · May 7, 2026