AI Visibility
measured26/100
Emerging · in Observability & APM
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals6/100
Weak fundamentals
Avg Prompt Score
64
across 852 prompts
AI Share of Voice
64%
across 852 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in Observability & APM
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 OpenSearch is visible in
3Executive summary
OpenSearch is likely to be cited by AI engines for evaluation-stage queries because it has a strong G2 presence (4.4/5 with 15 reviews on G2) and substantial first-party technical content (e.g., RAG and vector search pages). The highest-ROI fix is to add/strengthen first-party evaluation assets—especially SoftwareApplication/FAQPage structured data and crawlable comparison/pricing-style pages—because AI engines need extractable, brand-led evidence for “OpenSearch vs X” and “OpenSearch pricing” patterns.
Based on audit of opensearch.org · May 7, 2026