AI Visibility
measured54/100
Frequently Cited · in ETL & Data Integration
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals29/100
Weak fundamentals
Avg Prompt Score
81
across 625 prompts
AI Share of Voice
81%
across 625 prompts
Critical Issues
4
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.
Dagster is likely to be cited for evaluation-stage queries (e.g., “Dagster vs Airflow” and “Dagster pricing”) because it has first-party comparison pages and a crawlable pricing page with explicit tiers. The biggest citation risk is trust/shortlist formation: G2 review volume is extremely low (2 reviews), and there’s no evidence of TrustRadius/Capterra/Gartner Peer Insights profiles in the live signals, which reduces AI confidence for “best/alternatives/worth it” prompts.
Based on audit of dagster.io · Sep 30, 2026