AI Visibility
measured33/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals59/100
Some gaps
Avg Prompt Score
3
across 624 prompts
AI Share of Voice
3%
across 624 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Ci Cd Discovery
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.
Per-stage performance
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.
Categories ACCELQ is visible in
3Your visibility gap
ACCELQ surfaces in 0/80 Ci Cd discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
ACCELQ has strong B2B AI citation foundations (G2: 114 reviews, 4.8/5) and clear CI/CD positioning on its site, but it is still likely invisible for several high-intent CI/CD buyer queries (e.g., e-commerce platforms, manufacturing firms, cloud-native apps, mobile app development). The single highest-ROI fix is to publish dedicated, crawlable CI/CD implementation pages for each buyer gap query (use-case + industry + step-by-step workflow + integrations), so AI engines can cite first-party content for shortlist formation.
Based on audit of accelq.com · Aug 21, 2026