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

11

Limited Presence

Avg Prompt Score

58

across 282 prompts

AI Share of Voice

58%

across 282 prompts

Category Visibility

#12

in Hospitality & Restaurants · of 57

Critical Issues

5

critical + high

Shortlist Position

9/80

Niche · Hospitality Restaurants Discovery

Per-stage performance

🔍Discovery
197 category
Cited69%136/197
Share of voice66%avg
Engine consensus58%of engines
Competitors3.5avg/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 Cloudbeds is visible in

1
  • Hospitality & Restaurants12 of 57→

Your visibility gap

Cloudbeds surfaces in 9/80 Hospitality Restaurants discovery prompts. Claim this profile to see which 71 prompts you're missing and how to win them.

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Executive summary

Cloudbeds has strong B2B AI citation signals via G2 presence and active, crawlable first-party comparison content (e.g., Cloudbeds vs Mews). The biggest citation risk is evaluation-stage “restaurant/hospitality operations” queries (digital menus, online ordering, kitchen shift scheduling, employee performance) where Cloudbeds is not yet positioned with dedicated, extractable FAQ/comparison content.

Based on audit of cloudbeds.com · Jun 4, 2026

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