Overview Leaderboard Methodology
Industry Report

Mobile Game Stores

App marketplaces and storefronts for smartphones and tablets that distribute mobile games, in-app purchases, and developer tools for monetization.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Apple
99/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Apple
100

Highest score on the LBA metric.

Authority Leader?
Apple
96

Highest score on the Authority metric.

TOM Leader?
Apple
100

Highest score on the TOM metric.

Apple is the default answer in AI responses for Mobile Game Stores

Apple and Google together dominate AI responses for Mobile Game Stores. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 34 Mobile Game Stores 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
1
Apple
apple.com
 100
96
100
99
2
Google
google.com
 99
92
100
97
3
Samsung
samsung.com
 80
37
80
62
4
Amazon
amazon.com
 81
29
77
56
5
Epic Games Store
epicgames.com
 49
18
36
32
6
TapTap
taptap.io
 58
10
21
23
7
Huawei
huawei.com
 69
1
14
10
8
itch.io
itch.io
 79
1
13
10
9
Netflix
netflix.com
 77
0
12
2
10
APKPure
apkpure.com
 57
0
1
1
11
Aptoide
aptoide.com
 57
0
3
1
12
QooApp
qoo-app.com
 60
0
2
1
13
9
9Apps
9apps.com
 46
0
0
0
14
APKCombo
apkcombo.com
 22
0
0
0
15
A
APKMonk
apkmonk.com
 34
0
0
0
16
AppChina
appchina.com
 24
0
0
0
17
Aurora Store
auroraoss.com
 0
0
0
0
18
Baidu Mobile Assistant
baidu.com
 37
0
0
0
19
Cafe Bazaar
cafebazaar.ir
 52
0
0
0
20
F-Droid
f-droid.org
 73
0
0
0
21
GetJar
getjar.com
 45
0
0
0
22
Indus Appstore
indusappstore.com
 34
0
0
0
23
M
Mobogenie
mobogenie.com
 41
0
0
0
24
M
MoboMarket
mobomarket.net
 31
0
0
0
25
Myket
myket.ir
 36
0
0
0
26
ONE store
onestore.co.kr
 45
0
0
0
27
OPPO
oppo.com
 57
0
0
0
28
QQ Music
qq.com
 53
0
0
0
29
Redmi
mi.com
 73
0
0
0
30
RuStore
rustore.ru
 46
0
0
0
31
SlideME
slideme.org
 36
0
0
0
32
Uptodown
uptodown.com
 55
0
0
0
33
vivo
vivo.com
 62
0
0
0
34
W
Wandoujia
wandoujia.com
 44
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Mobile Game Stores 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 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 →