AI Visibility
measured33/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
100
across 37 prompts
AI Share of Voice
100%
across 37 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
OpenSpace is a B2B construction “visual intelligence” platform with meaningful third-party review presence (e.g., G2 shows 14 reviews) and strong first-party case-study content with measurable outcomes. The biggest AI-citation risk is evaluation-stage coverage: the site has at least one first-party comparison page (OpenSpace vs DroneDeploy), but there’s no evidence (from live search) of SoftwareApplication/price schema that AI engines can reliably extract for “pricing” and “what is X” answers.
Based on audit of openspace.ai · Sep 22, 2026