AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
1
across 645 prompts
AI Share of Voice
1%
across 645 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in AI Applications
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.
PwC.com is highly likely to be cited by AI engines for trust/authority queries (e.g., “PwC reviews” and enterprise consulting/service credibility) due to strong third-party authority signals like Wikipedia presence and visible Gartner/Peer Insights mentions. The biggest AI-citation risk is conversion-stage “pricing/cost” and evaluation-stage “software/tool” style queries—PwC is not a SaaS product with crawlable pricing pages, so AI can’t reliably ground pricing answers from pwc.com.
Based on audit of pwc.com · Aug 31, 2026