AI Visibility
measured18/100
Emerging · in Government & Public Sector
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
100
across 19 prompts
AI Share of Voice
100%
across 19 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Government & Public Sector
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
epcgroup.net is highly likely to be cited by AI engines for evaluation-stage queries like “best Microsoft consulting / Power BI consulting” because it has a public G2 presence (4.4/5 across 15 verified reviews) and first-party comparison pages (e.g., /compare/ and multiple “EPC Group vs [competitor]” pages). The single highest-ROI fix is to add/verify B2B SoftwareApplication/FAQPage structured data and crawlable llms.txt/robots.txt controls so AI engines can reliably extract “pricing + integrations + evaluation” answers from first-party pages.
Based on audit of epcgroup.net · Aug 31, 2026