AI Visibility
measured72/100
Frequently Cited · in GPU Cloud
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals42/100
Some gaps
Avg Prompt Score
91
across 673 prompts
AI Share of Voice
91%
across 673 prompts
Critical Issues
5
critical + high
Shortlist Position
32/65
Challenger · Gpu Cloud Discovery
How AI Visibility breaks down
in GPU Cloud
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.
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.
Your visibility gap
Lambda surfaces in 32/65 Gpu Cloud discovery prompts. Claim this profile to see which 33 prompts you're missing and how to win them.
Lambda is a B2B GPU cloud/IaaS provider and already has mid-funnel AI visibility for some GPU-instance discovery prompts (e.g., A100/H100 and 80GB VRAM). The biggest citation blockers are (1) missing/uncrawlable first-party evaluation assets—especially pricing and any “[Lambda] vs CoreWeave” / “[Lambda] vs RunPod” pages—and (2) missing structured data signals (SoftwareApplication/FAQPage) that AI engines use for evaluation and pricing answers.
Based on audit of lambdalabs.com · May 5, 2026