AI Visibility
measured11/100
Emerging · in LLMOps Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals7/100
Weak fundamentals
Avg Prompt Score
53
across 490 prompts
AI Share of Voice
53%
across 490 prompts
Critical Issues
5
critical + high
Shortlist Position
1/80
Not Visible · Ai Observability Discovery
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.
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
Seldon surfaces in 1/80 Ai Observability discovery prompts. Claim this profile to see which 79 prompts you're missing and how to win them.
Seldon is a B2B AI observability/MLOps platform with some AI citation traction (e.g., Claude citing it for tracking data drift), but it is not consistently present for high-intent evaluation queries like “What tools help in tracking AI model performance over time?” and “AI observability software with support for data lineage tracking.” The single highest-ROI fix is to add/expand crawlable, first-party evaluation content (SoftwareApplication + FAQPage + comparison/alternatives pages) that directly answers the missing gap queries and is indexable by AI crawlers.
Based on audit of seldon.io · May 8, 2026