[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Mural
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

71

Strong Presence

Avg Prompt Score

31

across 1218 prompts

AI Share of Voice

31%

across 1198 prompts

Category Visibility

#2

in Whiteboarding · of 40

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
889 category
Cited40%357/889
Share of voice35%avg
Engine consensus58%of engines
Competitors10.1avg/cited
Sentiment—no data
⚖️Evaluation
12 brand-level
Cited67%8/12
Share of voice67%avg
Engine consensus—
Competitors0.3avg/cited
Sentiment—no data
🛡️Trust
8 brand-level
Cited63%5/8
Share of voice63%avg
Engine consensus100%of engines
Competitors4.0avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited50%3/6
Share of voice50%avg
Engine consensus100%of engines
Competitors3.3avg/cited
Sentiment—no data

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

3
  • Whiteboarding2 of 40→
  • Design24 of 114→
  • Collaboration29 of 156→

Executive 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

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