AI Visibility
measured77/100
Frequently Cited · in LLMOps Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals61/100
Some gaps
Avg Prompt Score
38
across 385 prompts
AI Share of Voice
37%
across 369 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in LLMOps 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.
Categories Weights & Biases is visible in
3Executive summary
wandb.ai is a B2B SaaS (Weights & Biases) and already has meaningful AI citation fuel via G2 (44 reviews, 4.7/5) and active Reddit + strong LinkedIn authority. The biggest AI citation risk is evaluation-stage “vs/alternatives/pricing” queries: while pricing is publicly crawlable with tiering (e.g., Free/Pro/Enterprise starting at $60/month), the domain lacks clearly indexed first-party “[Brand] vs [Competitor]” comparison pages and there’s no evidence of SoftwareApplication/FAQPage structured data for AI evaluation queries.
Based on audit of wandb.ai · May 17, 2026