AI Visibility
measured42/100
Frequently Cited · in Applicant Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
6
across 399 prompts
AI Share of Voice
6%
across 399 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Applicant Tracking
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 CoderPad is visible in
3Executive summary
CoderPad is already highly citeable for evaluation-stage queries because it has strong G2 presence (451+ reviews) and first-party pricing with explicit tiers. The biggest risk for AI shortlists is conversion-stage and evaluation-stage “evaluation/alternatives” queries where AI needs crawlable, structured comparison + schema signals (SoftwareApplication/FAQPage) from coderpad.io itself—right now those structured signals are not verifiably discoverable via search.
Based on audit of coderpad.io · Oct 6, 2026