AI Visibility
measured69/100
Frequently Cited · in LLM Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals60/100
Some gaps
Avg Prompt Score
99
across 489 prompts
AI Share of Voice
100%
across 473 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in LLM Platforms
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.
Executive summary
Hugging Face is likely to be cited by AI engines for evaluation and pricing queries because it has a publicly accessible pricing page with explicit tiers (e.g., PRO $9/mo, Team $20/user/mo, Enterprise starting at $50/user/mo). The biggest AI-citation risk is evaluation-stage comparison coverage: there’s no clear evidence (from live search) of first-party “[Hugging Face] vs [Competitor]” pages that AI can reliably cite for shortlist-building.
Based on audit of huggingface.co · May 10, 2026