AI Visibility
measured45/100
Frequently Cited · in LLMOps Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
100
across 168 prompts
AI Share of Voice
100%
across 168 prompts
Critical Issues
4
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.
Portkey.ai is a B2B AI gateway/LLM observability platform and already has meaningful AI-citation inputs from G2 and Gartner Peer Insights. The biggest risk to appearing in evaluation-stage “alternatives to / best LLM gateway / LLM observability” shortlists is missing or weak first-party evaluation surfaces (especially SoftwareApplication/FAQPage-style structured evaluation content) and limited secondary review coverage (e.g., TrustRadius/Capterra counts not clearly evidenced). Highest-ROI fix: add/verify SoftwareApplication + FAQPage structured data on core product pages and ensure pricing + evaluation pages are fully crawlable/SSR so AI engines can cite them for conversion and evaluation queries.
Based on audit of portkey.ai · Oct 2, 2026