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

0

Limited Presence

Avg Prompt Score

23

across 114 prompts

AI Share of Voice

23%

across 114 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
27 category
Cited7%2/27
Share of voice7%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors4.6avg/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 Sybill is visible in

2
  • AI Sales Assistantnot yet measured→
  • Revenue Intelligencenot yet measured→

Executive summary

Sybill is already well-positioned for AI citation in evaluation/trust queries because it has a strong G2 presence (146 reviews, 4.8/5) and a publicly crawlable pricing page with clear tiers ($0/$30/$90 per month per user). The biggest risk is conversion-stage citation for “Sybill pricing” and evaluation-stage “Sybill vs competitor” queries if first-party comparison pages and B2B structured data (SoftwareApplication/FAQPage) are missing or not crawlable by AI engines.

Based on audit of sybill.ai · Jun 5, 2026

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