AI Visibility
measured71/100
Frequently Cited · in LLMOps Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals14/100
Weak fundamentals
Avg Prompt Score
33
across 349 prompts
AI Share of Voice
33%
across 349 prompts
Critical Issues
4
critical + high
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.
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 GuardRails is visible in
2Executive summary
guardrails.io is a B2B security SaaS, but AI citation likelihood is constrained by weak/low-volume review signals (e.g., only 29 G2 reviews found) and missing first-party evaluation assets (no clearly discoverable first-party “vs/compare” pages from live search). The single highest-ROI fix is to publish crawlable, first-party evaluation content (brand-led “GuardRails vs X” pages + SoftwareApplication/FAQPage schema) and strengthen structured pricing visibility so AI engines can cite it for evaluation and conversion queries.
Based on audit of guardrails.io · May 6, 2026