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

78

Strong Presence

Avg Prompt Score

63

across 1220 prompts

AI Share of Voice

63%

across 1220 prompts

Category Visibility

#1

in Prototyping · of 140

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
731 category
Cited87%639/731
Share of voice70%avg
Engine consensus72%of engines
Competitors24.0avg/cited
Sentiment—no data
⚖️Evaluation
15 brand-level
Cited100%15/15
Share of voice100%avg
Engine consensus100%of engines
Competitors2.3avg/cited
Sentimentpositive15+ / 9~ / 0−
🛡️Trust
9 brand-level
Cited100%9/9
Share of voice100%avg
Engine consensus100%of engines
Competitors3.0avg/cited
Sentimentpositive4+ / 2~ / 0−
💰Conversion
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors2.5avg/cited
Sentimentneutral2+ / 7~ / 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 195→
  • Prototyping1 of 140→
  • UI/UX Design1 of 178→
  • Graphic Design3 of 145→
  • Whiteboarding3 of 67→

Executive summary

Figma is highly likely to be cited by AI engines for evaluation and conversion queries because it has a very large G2 presence (2,025+ reviews) and a publicly crawlable pricing page with explicit USD tiers. The biggest remaining citation risk is structured-data/AI-extractability for evaluation-style queries (e.g., SoftwareApplication/FAQPage/ratings markup), plus ensuring first-party comparison content exists in a way AI can reliably extract.

Based on audit of figma.com · Jul 7, 2026

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