AI Visibility
measured25/100
Emerging · in Construction Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals67/100
Solid fundamentals
Avg Prompt Score
2
across 539 prompts
AI Share of Voice
2%
across 539 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Construction Software
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.
Certifier is already strongly positioned for AI citation in evaluation and conversion queries because it has a large G2 footprint (535 reviews, 4.6/5) and a publicly crawlable pricing page with explicit tier pricing. The biggest risk pattern is evaluation-stage “SoftwareApplication-style” citation (e.g., “[Certifier] vs [Competitor]” and “what is [Certifier]” rich answers) if structured data (SoftwareApplication/FAQPage/ratings) and crawlability signals are incomplete—your highest-ROI fix is to ensure SoftwareApplication + FAQPage markup exists on key evaluation pages and that comparison pages are indexed with brand-led framing.
Based on audit of certifier.io · Sep 29, 2026