Other products from IBM
AI Visibility
measured43/100
Frequently Cited · in Observability & APM
measured from this brand's audit prompts
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
4
across 182 prompts
AI Share of Voice
6%
across 182 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Observability & APM
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
Per-stage performance
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.
Categories IBM Databand is visible in
2Executive summary
IBM is highly likely to be cited by AI engines for ETL evaluation queries because it has a strong G2 presence for IBM DataStage (73 reviews, 4.0/5) and publicly crawlable pricing with indicative starting costs. The biggest risk for conversion-stage citation is that IBM’s first-party evaluation content for direct competitor comparisons (e.g., IBM vs Pentaho Data Integration / AWS Glue / Azure Data Factory) is not clearly discoverable as dedicated, indexed comparison pages on ibm.com.
Based on audit of ibm.com · Jun 17, 2026