AI Visibility
measured25/100
Emerging · in Data Warehouse
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
6
across 410 prompts
AI Share of Voice
6%
across 410 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Data Warehouse
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.
Oxylabs is highly likely to be cited by AI engines for evaluation and trust queries because it has a strong G2 presence (hundreds of reviews) and is listed in Zapier with an MCP integration surface. The biggest remaining citation risk is conversion-stage evaluation queries that require first-party, crawlable comparison/evaluation content (e.g., SoftwareApplication/FAQPage coverage and robust first-party “vs/alternatives” pages).
Based on audit of oxylabs.io · Sep 30, 2026