AI Visibility
measured38/100
Emerging · in Sales Intelligence
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
6
across 747 prompts
AI Share of Voice
6%
across 747 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Sales Intelligence
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.
People Data Labs is a B2B data provider (APIs/datasets) and has a crawlable, tiered pricing/credits model plus an llms.txt that clearly positions the company for AI assistants. The biggest AI-citation risk is evaluation-stage coverage: the domain appears to have thin/unclear first-party comparison and structured evaluation surfaces (e.g., SoftwareApplication/FAQPage), so AI engines likely rely on small G2 review volume rather than first-party “vs/alternatives/pricing” pages.
Based on audit of peopledatalabs.com · Sep 1, 2026