AI Visibility
measured73/100
Frequently Cited · in Agent Frameworks
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals78/100
Solid fundamentals
Avg Prompt Score
72
across 840 prompts
AI Share of Voice
72%
across 840 prompts
Critical Issues
5
critical + high
Shortlist Position
62/80
Leader · Agent Frameworks Discovery
How AI Visibility breaks down
in Agent Frameworks
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.
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 LlamaIndex is visible in
3Your visibility gap
LlamaIndex surfaces in 62/80 Agent Frameworks discovery prompts. Claim this profile to see which 18 prompts you're missing and how to win them.
Executive summary
LlamaIndex is already cited for agent-framework discovery queries (e.g., customer support/customer success/QA automation/integration), but it is weak for evaluation-stage and conversion-stage citation because first-party evaluation assets (pricing + structured comparison/evaluation pages) are not clearly crawlable. The single highest-ROI fix is to publish/SSR an evaluation hub that directly answers the missing buyer questions (service delivery, microservices, IT support, workflow optimization) with FAQPage + SoftwareApplication-style structure so AI engines can cite it for those exact prompts.
Based on audit of llamaindex.ai · Jun 8, 2026