AI Visibility
measured25/100
Emerging · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
9
across 249 prompts
AI Share of Voice
9%
across 249 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Developer Tools
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.
Dashbird has strong AI-citation foundations for evaluation and trust queries because it is present on G2 with 25 reviews at 4.9★. The biggest risk for AI engines is conversion-stage citation for pricing and evaluation-stage citation for comparison queries—fix crawlability/structured-data for pricing and add first-party comparison/FAQ content that directly targets the exact evaluation prompts.
Based on audit of dashbird.io · Oct 9, 2026