AI Visibility
measured18/100
Emerging · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
2
across 516 prompts
AI Share of Voice
0%
across 500 prompts
Critical Issues
6
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.
PlayCanvas is likely to be cited by AI engines for developer-oriented discovery queries (e.g., “web game engine / WebGL / WebGPU”) and for trust signals via third-party review platforms, but it is weaker for evaluation/conversion patterns that rely on first-party, crawlable B2B comparison and structured evaluation content. The single highest-ROI fix is to add/ensure first-party, indexed evaluation pages (especially “[PlayCanvas] vs [competitor]” and “PlayCanvas pricing” structured for AI) plus SoftwareApplication/FAQPage schema so AI can cite PlayCanvas directly during shortlist formation.
Based on audit of playcanvas.com · Aug 30, 2026