AI Visibility
measured18/100
Emerging · in Software Marketplace
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals60/100
Some gaps
Avg Prompt Score
5
across 320 prompts
AI Share of Voice
5%
across 320 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Software Marketplace
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.
deskbird.com is already well-positioned for AI citation in evaluation and trust queries because it has strong third-party review presence (notably G2) and first-party comparison content (e.g., deskbird vs Envoy) plus public, tiered pricing. The biggest remaining risk is structured-data/technical AEO: there’s no evidence (from live search) of SoftwareApplication/FAQPage schema, and llms.txt/robots.txt couldn’t be verified—so AI engines may struggle to reliably extract “how it works / pricing / integrations” in conversion-stage answers.
Based on audit of deskbird.com · Oct 7, 2026