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

3

Limited Presence

Avg Prompt Score

15

across 354 prompts

AI Share of Voice

15%

across 354 prompts

Category Visibility

#21

in Team Messaging · of 48

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
220 category
Cited17%37/220
Share of voice16%avg
Engine consensus33%of engines
Competitors3.0avg/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 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 Staffbase is visible in

2
  • Team Messaging21 of 48→
  • Wiki & Docsnot yet measured→

Executive summary

Staffbase is strongly positioned for AI citation in evaluation-stage queries because it has substantial G2 review volume (247 reviews) and a Gartner Peer Insights presence, plus first-party “Staffbase vs …” comparison content. The biggest citation risk is conversion-stage queries: the Staffbase pricing page is quote-based (“Get a quote”) rather than showing public tiers/prices, which limits AI engines’ ability to answer “Staffbase pricing” directly from first-party content.

Based on audit of staffbase.com · Jun 9, 2026

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