Industry Report

College Admissions & Test Prep

Services focused on SAT/ACT/guidance, college application advising, and subject-specific tutoring to prepare students for higher-education entry.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
IvyWise
46/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Kaplan
87

Highest score on the LBA metric.

Authority Leader?
IvyWise
30

Highest score on the Authority metric.

TOM Leader?
PrepScholar
55

Highest score on the TOM metric.

College Admissions & Test Prep is a highly fragmented category in AI responses

Even the top-ranked brand (IvyWise at 46/100) is mentioned inconsistently when users ask AI assistants about College Admissions & Test Prep. Only 1 brand in this category scored above 40. Categories often land here for two reasons: the space is dominated by local or niche players no single AI model has strong training on, or it's a services-heavy category (agencies, consultants) where AI assistants tend not to name specific brands regardless of reputation.

Brand Leaderboard All 36 College Admissions & Test Prep 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 281 shared College Admissions & Test Prep 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 281 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 →