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

0

Limited Presence

Avg Prompt Score

2

across 599 prompts

AI Share of Voice

2%

across 599 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
359 category
Cited0%1/359
Share of voice0%avg
Engine consensus—
Competitors0.0avg/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 voice92%avg
Engine consensus92%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 Scribbl is visible in

3
  • Collaborationnot yet measured→
  • Document Collaborationnot yet measured→
  • Whiteboardingnot yet measured→

Executive summary

Scribbl is likely to be cited by AI engines for evaluation-stage queries because it has strong G2 review volume (710+ reviews) and publicly crawlable pricing with explicit tiers (e.g., $13/$20/user/month and a Team plan). The biggest citation risk is missing/unclear secondary review + enterprise analyst signals (Capterra/TrustRadius/Gartner Peer Insights/IDC/Forrester) and likely incomplete structured data coverage (SoftwareApplication/FAQPage) on first-party pages.

Based on audit of scribbl.co · Jul 14, 2026

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