AI Visibility
measured30/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
5
across 330 prompts
AI Share of Voice
5%
across 330 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Applications
Composite = 60% coverage + 40% engine breadth, 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.
Merchynt is a B2B local SEO/reputation management SaaS with meaningful AI-citation signals from G2 (36 reviews shown on the G2 seller page) and public pricing ($99/month per business for Paige, plus add-ons). The biggest risk for AI evaluation queries is missing/uncertain enterprise analyst visibility (no Gartner Peer Insights/Magic Quadrant evidence found) and likely incomplete crawlability/structured-data verification (robots.txt/llms.txt/schema not confirmable from live checks). Highest-ROI fix: ensure SoftwareApplication/Organization/FAQPage schema is present and crawlable on key product pages and verify AI crawler access via robots.txt/llms.txt, then expand analyst/enterprise proof surfaces.
Based on audit of merchynt.com · Jun 8, 2026