Other products from IBM
AI Visibility
measured18/100
Emerging · in Document Generation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
9
across 123 prompts
AI Share of Voice
11%
across 123 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Document Generation
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.
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 Datacap is visible in
1Executive 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