AI Visibility
measured70/100
Frequently Cited · in Whiteboarding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals71/100
Solid fundamentals
Avg Prompt Score
30
across 1198 prompts
AI Share of Voice
30%
across 1178 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Whiteboarding
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 Mural is visible in
3Executive summary
Mural is highly likely to be cited by AI engines for evaluation-stage queries (e.g., “best visual collaboration software” and “Mural vs Miro”) because it has strong G2 review volume (1,454 reviews) and a solid Gartner Peer Insights rating (4.4 with 111 ratings). The single highest-ROI fix is to strengthen first-party evaluation content: add/expand crawlable, brand-led “[Mural] vs [Competitor]” pages and ensure structured data (SoftwareApplication + FAQPage) is present so AI can cite Mural directly for pricing and comparison answers.
Based on audit of mural.co · Apr 2, 2026