AI Visibility
measured71/100
Frequently Cited · in Demand Planning
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
52
across 880 prompts
AI Share of Voice
52%
across 880 prompts
Critical Issues
5
critical + high
Shortlist Position
2/80
Not Visible · Data Analytics Discovery
How AI Visibility breaks down
in Demand Planning
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.
Categories Kinaxis is visible in
2Your visibility gap
Kinaxis surfaces in 2/80 Data Analytics discovery prompts. Claim this profile to see which 78 prompts you're missing and how to win them.
Executive summary
Kinaxis is a B2B supply chain planning/orchestration SaaS with strong enterprise credibility signals (e.g., Gartner Peer Insights vendor pages and a Gartner “Customers’ Choice” press mention). The biggest AI-citation risk is that kinaxis.com lacks crawlable, first-party evaluation assets for “data analytics” buyer intents—especially governance/customer-insights and industry-specific analytics—so it’s not showing up for your highest-value discovery gaps. Highest-ROI fix: publish and index a set of first-party, self-contained evaluation pages (FAQ + SoftwareApplication-style content) that map Maestro’s data/analytics + governance capabilities to each missing buyer question.
Based on audit of kinaxis.com · Jun 6, 2026