Industry Report

Corporate & Enterprise Bootcamps

Training programs and upskilling bootcamps offered to companies and enterprise teams to reskill employees in modern software engineering practices and tools.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
General Assembly
67/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Pluralsight
88

Highest score on the LBA metric.

Authority Leader?
General Assembly
37

Highest score on the Authority metric.

TOM Leader?
General Assembly
100

Highest score on the TOM metric.

Corporate & Enterprise Bootcamps has no dominant brand in AI responses

General Assembly is the top-ranked brand here, but its overall score of 67 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Corporate & Enterprise Bootcamps with varied recommendations from query to query - users get a different set of suggestions each time. This is the kind of category where mid-tier brands still have room to move up.

Brand Leaderboard All 35 Corporate & Enterprise Bootcamps 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 275 shared Corporate & Enterprise Bootcamps 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 275 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 →