AI Visibility
measured40/100
Frequently Cited · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
4
across 400 prompts
AI Share of Voice
4%
across 400 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Developer Tools
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.
Hibernate.org is highly recognizable as an ORM framework (Wikipedia presence and strong G2 review visibility), so AI engines can answer “what is Hibernate” and “how to use Hibernate” style questions. The biggest citation risk is evaluation/conversion-style queries (pricing, comparisons, and structured product metadata): there is no clear first-party pricing/comparison surface and no evidence of SoftwareApplication/AggregateRating structured data, so AI is less likely to cite hibernate.org for “best ORM/alternatives” shortlist answers.
Based on audit of hibernate.org · Oct 5, 2026