AI Visibility
measured34/100
Emerging · in Learning Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals5/100
Weak fundamentals
Avg Prompt Score
22
across 376 prompts
AI Share of Voice
22%
across 376 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Applicant Tracking Discovery
How AI Visibility breaks down
in Learning Management
Composite = 60% coverage + 40% engine breadth, 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 Nearpod is visible in
2Your visibility gap
Nearpod surfaces in 0/80 Applicant Tracking discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
Nearpod is not positioned as an applicant tracking (ATS) vendor; it’s primarily an education/student engagement platform, so AI engines are unlikely to cite it for applicant tracking shortlist queries. The single highest-ROI fix for the provided gap queries is to create ATS-specific, crawlable content that clearly defines “what is applicant tracking software and how it works” and “how to manage job postings using applicant tracking software,” then back it with structured Q&A and third-party citations aligned to ATS use cases.
Based on audit of nearpod.com · May 9, 2026