Overview Leaderboard Methodology
Industry Report

Subject-Specific Tutoring Services

Providers specializing in tutoring for particular subjects such as math, science, languages, or coding with targeted curricula and instructors.

Brands tracked: 40
Brands analyzed: 40
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 305
Total responses: 1,575
Top Brand Overall?
Wyzant
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Khan Academy
95

Highest score on the LBA metric in this industry.

Authority Leader?
Wyzant
77

Highest score on the Authority metric in this industry.

TOM Leader?
Wyzant
100

Highest score on the TOM metric in this industry.

Wyzant is the default answer in AI responses for Subject-Specific Tutoring Services

When users ask ChatGPT, Claude, or Gemini about Subject-Specific Tutoring Services, Wyzant is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Varsity Tutors 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 40 Subject-Specific Tutoring Services brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Wyzant
wyzant.com
 81
77
100
86
2
Varsity Tutors
varsitytutors.com
 78
33
87
61
3
Tutor.com
tutor.com
 81
29
68
55
4
Khan Academy
khanacademy.org
 95
23
52
49
5
Preply
preply.com
 73
31
33
43
6
Sylvan Learning
sylvanlearning.com
 80
9
45
34
7
Kumon
kumon.com
 81
8
29
29
8
Mathnasium
mathnasium.com
 76
8
30
28
9
Chegg
chegg.com
 69
7
32
27
10
Huntington Learning Center
huntingtonhelps.com
 77
8
25
27
11
italki
italki.com
 78
13
12
25
12
Berlitz
berlitz.com
 83
8
8
20
13
Club Z! Tutoring
clubztutoring.com
 43
4
31
20
14
The Princeton Review
princetonreview.com
 78
8
8
19
15
Cambly
cambly.com
 74
7
7
18
16
Juni Learning
junilearning.com
 69
7
7
17
17
Lingoda
lingoda.com
 70
7
7
17
18
R
Russian School of Mathematics
russianmath.com
 69
7
7
17
19
Tutor Doctor
tutordoctor.com
 70
7
7
17
20
Code Ninjas
codeninjas.com
 66
7
7
16
21
Cuemath
cuemath.com
 66
7
7
16
22
GoStudent
gostudent.org
 65
6
6
16
23
Superprof
superprof.com
 65
7
7
16
24
Schoolhouse.world
schoolhouse.world
 58
6
7
15
25
Thinkster
thinkster.com
 59
6
6
15
26
Verbling
verbling.com
 59
6
6
15
27
CodeWizardsHQ
codewizardshq.com
 56
6
6
14
28
Eye Level
myeyelevel.com
 57
6
6
14
29
inlingua
inlingua.com
 56
6
6
14
30
LingoAce
lingoace.com
 58
6
6
14
31
S
Skooli
skooli.com
 30
3
19
14
32
Best Brains
bestbrains.com
 52
5
5
13
33
Kaplan Professional
kaplan.com
 50
5
5
13
34
Coding with Kids
codingwithkids.com
 48
5
5
12
35
Brighterly
brighterly.com
 38
4
4
10
36
JEI Learning Center
jeilearning.com
 40
4
4
10
37
The Tutoring Center
tutoringcenter.com
 40
4
4
10
38
eTutorWorld
etutorworld.com
 34
3
3
9
39
Aloha Mind Math
alohamindmath.com
 18
2
2
5
40
98thPercentile
98thpercentile.com
 10
1
1
3

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 305 shared Subject-Specific Tutoring Services 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
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 305 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 →