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

9

Limited Presence

Avg Prompt Score

10

across 164 prompts

AI Share of Voice

10%

across 164 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
96 category
Cited3%3/96
Share of voice3%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 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 DataCamp is visible in

1
  • Learning Managementnot yet measured→

Executive summary

DataCamp is likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., 604 G2 reviews) and multiple B2B customer stories with measurable outcomes. The single highest-ROI fix is to strengthen first-party evaluation surfaces for AI (especially SoftwareApplication/FAQPage structured data and crawlable brand-aware comparison/pricing pages for “DataCamp vs X” and “DataCamp pricing” queries), since these are the most common patterns where AI needs directly extractable, crawlable evidence.

Based on audit of datacamp.com · May 7, 2026

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