A fact-by-fact comparison of Kubernetes and Refine — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.
Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 6, 2026
Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.
CLAUDE
Kubernetes
2%
Refine
0.1%
GEMINI
Kubernetes
3.5%
Refine
0.2%
GROK
Kubernetes
7.7%
Refine
0.4%
CHATGPT
Kubernetes
3.5%
Refine
0.3%
PERPLEXITY
Kubernetes
2.5%
Refine
0.2%
Features
Features
Integrations
Does AI recommend Kubernetes or Refine more?
Kubernetes is recommended more often: it appears in 3.3% of sampled AI answers versus 0.2% for Refine, measured across the live AI engines over a rolling 4-week window.
Which AI engines were used to compare Kubernetes and Refine?
Recommendation share is measured on CLAUDE, GEMINI, GROK, CHATGPT, PERPLEXITY using neutral, buyer-shaped prompts (no product names), aggregated over a 4-week rolling window. See the methodology for prompt design and sample sizes.
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Recommendation share and entity resolution follow the Index methodology. Facts are sourced from each vendor's own pages and re-verified periodically. Customer status does not affect measurement. Free to use with attribution to orbator.io.
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