AI Visibility
measured27/100
Emerging · in ETL & Data Integration
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals11/100
Weak fundamentals
Avg Prompt Score
16
across 181 prompts
AI Share of Voice
16%
across 181 prompts
Critical Issues
4
critical + high
Shortlist Position
1/80
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
Estuary surfaces in 1/80 Etl Data Integration discovery prompts. Claim this profile to see which 79 prompts you're missing and how to win them.
Estuary.dev is already visible for at least one ETL/data integration evaluation pattern (e.g., Claude citing it for “ETL tools for logistics and supply chain management”), and it has strong G2 social proof plus crawlable, tiered pricing. The biggest AI-citation risk is category shortlist formation for high-intent discovery queries you listed (especially “what is ETL and data integration software” and “how to manage data migration processes effectively”): you need more first-party, evaluation-ready content blocks (FAQ + use-case pages) that directly answer those exact questions and are easy for AI crawlers to extract.
Based on audit of estuary.dev · May 6, 2026