[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/monday.com
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

72

Strong Presence

Avg Prompt Score

81

across 12 prompts

AI Share of Voice

100%

across 12 prompts

Critical Issues

4

critical + high

Brand Accuracy

1/36

citations with inaccuracies

Per-stage performance

🔍Discovery
2 brand-level
Cited100%2/2
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentpositive5+ / 1~ / 0−
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors2.0avg/cited
Sentimentpositive3+ / 6~ / 0−
🛡️Trust
3 brand-level
Cited100%3/3
Share of voice100%avg
Engine consensus100%of engines
Competitors3.7avg/cited
Sentimentneutral1+ / 5~ / 0−
💰Conversion
3 brand-level
Cited100%3/3
Share of voice100%avg
Engine consensus100%of engines
Competitors3.3avg/cited
Sentimentneutral0+ / 3~ / 0−

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.

Executive summary

monday.com is highly likely to be cited by AI engines for evaluation and conversion queries because it has very strong G2 presence (15,310 reviews, 4.7★) and substantial secondary review authority (TrustRadius ~4,994 reviews). The single highest-ROI fix is to strengthen first-party, brand-led evaluation surfaces for competitor comparison and pricing intent (e.g., SoftwareApplication/FAQPage coverage and crawlable pricing details) so prompts like “How does monday.com compare to ClickUp?” and “How much does monday.com cost?” can be answered from monday.com content rather than only third parties.

Based on audit of monday.com · May 29, 2026

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