AI Visibility
measured18/100
Emerging · in 3D & CAD
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
7
across 163 prompts
AI Share of Voice
7%
across 163 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in 3D & CAD
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.
A-Frame is likely to be cited for “what is A-Frame” and developer how-to queries, but it is at high risk of under-citation for evaluation/conversion prompts like “What is the best VR software development kit?” and all “A-Frame compare to …” queries because first-party comparison and pricing/cost surfaces are not clearly crawlable on aframe.io. Highest-ROI fix: publish/ensure indexed first-party evaluation pages for the exact competitor comparisons (360° media, Google Scale, Leap Motion, ArborXR, Project Play) and add crawlable pricing/plan details (or explicitly document cost model) so AI can cite them.
Based on audit of aframe.io · Oct 16, 2026