AI Visibility
measured33/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
100
across 16 prompts
AI Share of Voice
100%
across 16 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in AI Applications
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 Diffblue is visible in
1Executive summary
Diffblue is likely to be cited for evaluation-stage queries (e.g., “Diffblue Cover reviews” and “Diffblue Cover pricing”) because it has a G2 product page with 4 reviews and a 3.9/5 rating, plus a public Capterra listing. The biggest risk for AI citation is conversion-stage crawlability: the diffblue.com homepage and pricing page appear to be served as an iframe-only response to the crawler, which prevents AI engines from reliably extracting pricing and product details from first-party pages.
Based on audit of diffblue.com · Oct 6, 2026