AI Visibility
measured18/100
Emerging · in AI Recruiting
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals45/100
Some gaps
Avg Prompt Score
11
across 145 prompts
AI Share of Voice
11%
across 145 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Recruiting
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.
plumhq.com is a B2B employee health benefits/insurance platform with meaningful third-party review presence (e.g., G2 shows 72 reviews at 4.4). The biggest AI-citation risk is evaluation-stage “vs/alternatives” coverage and structured software schema: the site has comparison-style content (e.g., provider comparison frameworks) but no clear evidence of SoftwareApplication/FAQPage schema and no first-party “Plum vs Competitor” pages found in live search.
Based on audit of plumhq.com · Oct 9, 2026