[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Fireflies.ai
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

24

Limited Presence

Avg Prompt Score

64

across 546 prompts

AI Share of Voice

64%

across 546 prompts

Category Visibility

#12

in Meeting Tools · of 103

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
398 category
Cited80%317/398
Share of voice74%avg
Engine consensus46%of engines
Competitors4.9avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/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 Fireflies.ai is visible in

2
  • Meeting Tools12 of 103→
  • AI Sales Assistant25 of 117→

Executive summary

Fireflies.ai is strongly positioned for AI citation in evaluation-stage queries because it has a large G2 presence (746 reviews) and clear, public per-seat pricing pages (e.g., Pro $10/user/mo billed annually; Business $19/mo/user billed annually; Enterprise $39/mo/user billed annually). The highest-risk query pattern is conversion-stage “Fireflies pricing”/“Fireflies cost” where AI engines can only cite what they can reliably crawl and parse—so the single highest-ROI fix is to ensure pricing is consistently crawlable/SSR across the main pricing entrypoints and is backed by machine-readable structured data.

Based on audit of fireflies.ai · Jun 7, 2026

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