AI Visibility
measured33/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
100
across 25 prompts
AI Share of Voice
100%
across 25 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in AI Applications
Composite = 50% coverage + 30% engine breadth + 20% position, 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.
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.
Unbabel is a well-cited B2B SaaS brand for evaluation-stage queries because it has a strong G2 presence (198 reviews) and clear category authority on G2. The biggest AI-citation risk is conversion-stage and evaluation-stage crawlability: pricing appears not to be a clean, crawlable tiered pricing page on unbabel.com, and there’s no evidence (from live search) of SoftwareApplication/FAQPage structured data or llms.txt/robots.txt AI-crawler allowances.
Based on audit of unbabel.com · Sep 30, 2026