AI Visibility
measured28/100
Emerging · in LLMOps Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals38/100
Weak fundamentals
Avg Prompt Score
98
across 21 prompts
AI Share of Voice
98%
across 21 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in LLMOps Platforms
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.
Agenta.ai is a B2B agent orchestration / LLMOps platform with clear public pricing and strong developer-facing positioning, but it is currently unlikely to be cited in high-intent evaluation queries because there’s no evidence of first-party “Agenta vs …” comparison pages and no evidence of SoftwareApplication/FAQPage structured data. The single highest-ROI fix is to publish crawlable, brand-led evaluation pages (e.g., “Agenta vs Langfuse”, “Agenta vs LangSmith”) and add SoftwareApplication + FAQPage schema so AI engines can reliably extract and cite them.
Based on audit of agenta.ai · Sep 20, 2026