Overview Leaderboard Methodology
Industry Report

Language Learning Apps

Mobile and web applications that provide interactive lessons, practice exercises, and progress tracking for learning new languages, often using gamification and spaced repetition.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Duolingo
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Duolingo
92

Highest score on the LBA metric in this industry.

Authority Leader?
Duolingo
93

Highest score on the Authority metric in this industry.

TOM Leader?
Duolingo
100

Highest score on the TOM metric in this industry.

Duolingo is the default answer in AI responses for Language Learning Apps

When users ask ChatGPT, Claude, or Gemini about Language Learning Apps, Duolingo is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Babbel 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 34 Language Learning Apps 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
Duolingo
duolingo.com
 92
93
100
95
2
Babbel
babbel.com
 83
60
79
73
3
Busuu
busuu.com
 76
59
79
71
4
Memrise
memrise.com
 70
38
64
56
5
Rosetta Stone
rosettastone.com
 72
27
70
52
6
Pimsleur
pimsleur.com
 76
29
54
50
7
LingQ
lingq.com
 75
14
24
30
8
Anki
ankiweb.net
 71
16
18
28
9
HelloTalk
hellotalk.com
 71
7
33
28
10
Tandem
tandem.chat
 66
7
32
26
11
Mondly
mondly.com
 71
7
15
21
12
Clozemaster
clozemaster.com
 62
6
15
20
13
Mango Languages
mangolanguages.com
 64
6
15
20
14
italki
italki.com
 81
8
8
19
15
LingoDeer
lingodeer.com
 79
8
8
19
16
Quizlet
quizlet.com
 80
8
8
19
17
Drops
languagedrops.com
 68
7
8
18
18
ELSA Speak
elsaspeak.com
 72
7
7
18
19
FluentU
fluentu.com
 74
7
7
18
20
Preply
preply.com
 68
7
7
17
21
Yabla
yabla.com
 69
7
7
17
22
Language Transfer
languagetransfer.org
 66
7
7
16
23
MosaLingua
mosalingua.com
 65
7
7
16
24
Rocket Languages
rocketlanguages.com
 64
6
6
16
25
Beelinguapp
beelinguapp.com
 60
6
6
15
26
Speak
speak.com
 59
6
6
15
27
Lingvist
lingvist.com
 55
6
6
14
28
uTalk
utalk.com
 55
6
6
14
29
BBC Sounds
bbc.co.uk
 53
5
5
13
30
Transparent Language
transparent.com
 51
5
5
13
31
Promova
promova.com
 39
4
4
10
32
Falou
falou.com
 33
3
3
9
33
Wlingua
wlingua.com
 32
3
3
9
34
Bluebird Languages
bluebirdlanguages.com
 20
2
2
6

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Language Learning Apps 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 269 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 →