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

63

Growing Presence

Avg Prompt Score

3

across 566 prompts

AI Share of Voice

1%

across 547 prompts

Critical Issues

6

critical + high

Per-stage performance

🔍Discovery
352 category
Cited2%7/352
Share of voice2%avg
Engine consensus33%of engines
Competitors3.1avg/cited
Sentiment—no data
⚖️Evaluation
14 brand-level
Cited57%8/14
Share of voice57%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited25%1/4
Share of voice25%avg
Engine consensus—
Competitors1.0avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited83%5/6
Share of voice72%avg
Engine consensus33%of engines
Competitors1.0avg/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 Fin is visible in

2
  • AI Chatbotsnot yet measured→
  • Customer Service & Supportnot yet measured→

Executive summary

Fin is highly likely to be cited for category shortlists because it has strong G2 authority (3815 reviews, 4.5★) and first-party comparison content exists for evaluation-style queries like “How does Fin compare to Decagon?” and “How does Fin compare to Forethought?”. The single highest-ROI fix is to strengthen structured data + technical AEO (SoftwareApplication/FAQPage/price schema and crawlability signals) so AI engines can reliably extract pricing and evaluation answers for prompts like “How much does Fin cost?” and “Is Fin worth it for mid-market and enterprise support teams?”.

Based on audit of fin.ai · Apr 2, 2026

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