AI Visibility
measured43/100
Frequently Cited · in AI Observability
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals4/100
Weak fundamentals
Avg Prompt Score
20
across 180 prompts
AI Share of Voice
20%
across 180 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Observability
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.
Deepchecks is a B2B AIOps/LLM evaluation & production monitoring platform with strong G2 presence (21 reviews, 4.4★) and publicly crawlable pricing pages (e.g., /pricing/ and /monitoring-pricing/). The biggest AI-citation risk is evaluation-stage comparison intent: there is no clear first-party “[Deepchecks] vs Datadog/Dynatrace” page structure found, so models must rely on third-party sources for “How does Deepchecks compare to Datadog?” and “How does Deepchecks compare to Dynatrace?”.
Based on audit of deepchecks.com · Jun 7, 2026