AI Visibility
measured33/100
Emerging · in Software Marketplace
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
100
across 208 prompts
AI Share of Voice
100%
across 208 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Software Marketplace
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.
Executive summary
Accenture.com is highly likely to be cited by AI engines for brand-aware and trust queries (e.g., “Accenture reviews” and “Accenture reliability”) because it has strong third-party review presence on G2 (190+ reviews) and a large LinkedIn authority footprint (15M+ followers). The biggest citation risk is evaluation/conversion intent queries like “Accenture pricing” and “Accenture vs competitor” because Accenture is not a typical SaaS product with crawlable, tiered pricing pages and first-party comparison pages.
Based on audit of accenture.com · Oct 2, 2026