AI Visibility
measured29/100
Emerging · in LLM Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
92
across 37 prompts
AI Share of Voice
100%
across 29 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in LLM Platforms
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 Kong AI Gateway is visible in
1Executive summary
Konghq.com is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 traction (308 reviews, 4.4★) and first-party head-to-head comparison content (e.g., Kong vs MuleSoft, Kong vs Apigee). The single highest-ROI fix is to ensure crawlable, schema-rich conversion content for pricing/cost queries (public, SSR, and structured) so models can answer “How much does Kong cost?” directly from konghq.com rather than deferring to third parties.
Based on audit of konghq.com · Jun 7, 2026