Industry Report

Container Deployment Platforms

Platforms and services that manage containerized application deployment, scaling, and lifecycle across clusters and cloud providers.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Google
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
93

Highest score on the LBA metric.

Authority Leader?
Google
83

Highest score on the Authority metric.

TOM Leader?
Google
93

Highest score on the TOM metric.

Google is the default answer in AI responses for Container Deployment Platforms

When users ask ChatGPT, Claude, or Gemini about Container Deployment Platforms, Google is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Kubernetes is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 38 Container Deployment Platforms brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Container Deployment Platforms prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 293 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →