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

78

Strong Presence

Avg Prompt Score

63

across 1239 prompts

AI Share of Voice

63%

across 1239 prompts

Category Visibility

#1

in Prototyping · of 50

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
839 category
Cited88%736/839
Share of voice72%avg
Engine consensus72%of engines
Competitors20.9avg/cited
Sentimentpositive3+ / 0~ / 0−
⚖️Evaluation
10 brand-level
Cited100%10/10
Share of voice100%avg
Engine consensus100%of engines
Competitors2.8avg/cited
Sentimentpositive6+ / 3~ / 0−
🛡️Trust
9 brand-level
Cited100%9/9
Share of voice100%avg
Engine consensus100%of engines
Competitors2.9avg/cited
Sentimentpositive4+ / 2~ / 0−
💰Conversion
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus100%of engines
Competitors3.0avg/cited
Sentimentpositive2+ / 4~ / 0−

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 Figma is visible in

5
  • Design1 of 111→
  • Prototyping1 of 50→
  • UI/UX Design1 of 61→
  • Graphic Design3 of 60→
  • Whiteboarding3 of 26→

Executive summary

Figma is highly likely to be cited by AI engines for evaluation and conversion queries because it has strong third-party review authority (e.g., 1,517+ G2 reviews and 1,647 TrustRadius reviews) and a publicly crawlable pricing page with explicit seat tiers and prices. The single highest-ROI fix is to ensure first-party, brand-led comparison/evaluation pages (e.g., “Figma vs X” and “alternatives to Figma”) are comprehensive and structured for AI extraction, because that query pattern is where citation selection is most competitive.

Based on audit of figma.com · May 16, 2026

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