Industry Report

Classroom Course Providers

Organizations offering structured language courses in physical classrooms or scheduled virtual classes with certified instructors and curriculum-based progression.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Berlitz
80/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Goethe-Institut
85

Highest score on the LBA metric.

Authority Leader?
Berlitz
72

Highest score on the Authority metric.

TOM Leader?
Berlitz
88

Highest score on the TOM metric.

Berlitz leads the Classroom Course Providers category in AI responses

Berlitz is the most consistently-surfaced brand when users ask AI assistants about Classroom Course Providers, but not to the point of monopolising the conversation. Alliance Française and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 37 Classroom Course Providers 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 287 shared Classroom Course Providers 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 287 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 →