AI Visibility
measured44/100
Frequently Cited · in Hospitality & Restaurants
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
90
across 78 prompts
AI Share of Voice
100%
across 62 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Hospitality & Restaurants
Composite = 60% coverage + 40% engine breadth, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
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
Tripleseat is likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., Capterra 4.7/5 with 572 reviews ([capterra.com](https://www.capterra.com/p/118047/Tripleseat/?utm_source=openai)) and G2 seller presence ([g2.com](https://www.g2.com/sellers/tripleseat?utm_source=openai))). The biggest citation risk is conversion-stage queries like “Tripleseat pricing” because first-party pricing appears to be gated/lead-gen (“Request a Demo/Request Pricing”) rather than publicly crawlable tiers. Highest-ROI fix: publish a crawlable, server-rendered pricing page with explicit tiers/prices and add SoftwareApplication/FAQPage structured data to evaluation pages.
Based on audit of tripleseat.com · May 7, 2026