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

5

Limited Presence

Avg Prompt Score

7

across 314 prompts

AI Share of Voice

7%

across 314 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
192 category
Cited4%8/192
Share of voice3%avg
Engine consensus33%of engines
Competitors11.8avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice92%avg
Engine consensus92%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 Jamie is visible in

2
  • AI Chatbotsnot yet measured→
  • Meeting Toolsnot yet measured→

Executive summary

meetjamie.ai is a B2B AI meeting assistant and already has meaningful third-party review visibility on G2 (22 reviews on the Jamie seller page). The biggest AI-citation risk is evaluation-stage comparison coverage: while the site has first-party “alternatives”/comparison-style content, there’s no clear evidence of first-party “[Brand] vs [Competitor]” pages that AI engines can reliably cite for head-to-head evaluation queries. Highest-ROI fix: create/standardize crawlable, brand-led comparison pages (e.g., /compare/jamie-vs-otter, /compare/jamie-vs-tactiq) and add SoftwareApplication/FAQPage structured data on those pages and the pricing page.

Based on audit of meetjamie.ai · May 6, 2026

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