Overview Leaderboard Methodology
Industry Report

Foldable Smartphones

Smartphones with foldable or flexible displays that combine tablet-like screens and phone form factors for enhanced multitasking and portability.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 240
Total responses: 1,215
Top Brand Overall?
Samsung
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Google
88

Highest score on the LBA metric in this industry.

Authority Leader?
Samsung
100

Highest score on the Authority metric in this industry.

TOM Leader?
Samsung
100

Highest score on the TOM metric in this industry.

Samsung is the default answer in AI responses for Foldable Smartphones

When users ask ChatGPT, Claude, or Gemini about Foldable Smartphones, Samsung is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Google 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 30 Foldable Smartphones 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
Samsung
samsung.com
 85
100
100
95
2
Google
google.com
 88
47
84
71
3
Motorola
motorola.com
 73
57
78
69
4
Lenovo
lenovo.com
 58
57
78
63
5
OnePlus
oneplus.com
 74
36
84
61
6
Huawei
huawei.com
 73
9
58
36
7
HONOR
honor.com
 71
8
56
35
8
OPPO
oppo.com
 80
8
26
27
9
Xiaomi
xiaomi.com
 73
7
17
23
10
vivo
vivo.com
 70
7
15
21
11
Microsoft
microsoft.com
 78
8
8
19
12
Tecno
tecno-mobile.com
 64
6
6
16
13
LG
lg.com
 53
5
5
13
14
nubia
nubia.com
 39
10
4
13
15
R
Royole
royole.com
 47
5
5
12
16
ZTE
zte.com.cn
 49
5
5
12
17
realme
realme.com
 39
4
4
10
18
ROG
asus.com
 37
4
4
10
19
Energizer
energizermobile.com
 33
3
3
9
20
Infinix
infinixmobility.com
 34
3
3
9
21
Sharp
sharpusa.com
 32
3
3
9
22
Sony
sony.com
 32
3
3
9
23
Blackview
blackview.hk
 29
3
3
8
24
TCL
tcl.com
 28
3
3
8
25
DOOGEE
doogee.cc
 23
2
2
6
26
HMD
hmd.com
 22
2
2
6
27
Meizu
meizu.com
 22
2
2
6
28
Alcatel
alcatelmobile.com
 17
2
2
5
29
G
Gionee
gionee.com
 17
2
2
5
30
Leagoo
leagoo.com
 5
0
0
2

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 240 shared Foldable Smartphones 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 240 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 →