AI Visibility
measured18/100
Emerging · in Revenue Operations & Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals44/100
Some gaps
Avg Prompt Score
1
across 381 prompts
AI Share of Voice
1%
across 381 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Revenue Operations & Intelligence
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.
Upside.tech shows strong B2B SaaS identity and AI-citable proof via first-party use-case pages and multiple detailed case studies, but it is unlikely to be cited for evaluation-stage queries that require first-party pricing/comparison and structured product schema. The single highest-ROI fix is to publish crawlable, tiered pricing and add SoftwareApplication/FAQPage structured data so AI engines can answer “pricing” and “vs/fit” questions from Upside pages rather than only from G2/Capterra.
Based on audit of upside.tech · Oct 9, 2026