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

0

Limited Presence

Avg Prompt Score

9

across 162 prompts

AI Share of Voice

9%

across 162 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
95 category
Cited2%2/95
Share of voice2%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
Competitors4.8avg/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 Codecademy is visible in

1
  • Learning Managementnot yet measured→

Executive summary

Codecademy is likely to be cited by AI engines for learning/career upskilling queries and for evaluation-stage questions that rely on third-party review sources (notably G2). The biggest citation risk is conversion-stage “Teams/enterprise pricing” and evaluation-stage “Codecademy vs competitor” pages: you have public pricing for individuals, but business pricing appears to be quote/demo-driven, and there’s no clear evidence of first-party “Codecademy vs X” comparison pages on the domain.

Based on audit of codecademy.com · Jun 8, 2026

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