AI Visibility
measured34/100
Emerging · in AI Chatbots
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
23
across 708 prompts
AI Share of Voice
23%
across 708 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Chatbots
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.
Ada is a B2B AI customer service platform and already has strong AI-citation inputs from G2 (170 reviews, 4.6/5) and Gartner Peer Insights (4.5/5 from 21 ratings). The biggest AI citation risk is evaluation-stage queries that require crawlable, first-party pricing and comparison content—Ada appears to rely on demo/contact for pricing and has first-party comparison pages (e.g., /compare/decagon/) but no evidence of a robust, brand-led “[Ada] vs [Competitor]” evaluation structure across major rivals.
Based on audit of ada.cx · May 6, 2026