Overview Leaderboard Methodology
Industry Report

Flagship Smartphones

High-end smartphones from major manufacturers offering the latest processors, advanced cameras, premium materials, and top-tier features.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 245
Total responses: 1,225
Top Brand Overall?
Samsung
100/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Samsung
100

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 Flagship Smartphones

Samsung and Apple together dominate AI responses for Flagship Smartphones. 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 30 Flagship 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
 100
100
100
100
2
Apple
apple.com
 100
97
100
99
3
Google
google.com
 86
64
85
78
4
OnePlus
oneplus.com
 86
54
82
73
5
Xiaomi
xiaomi.com
 71
13
75
43
6
Sony
sony.com
 85
9
19
26
7
ROG
asus.com
 89
9
12
23
8
vivo
vivo.com
 79
8
14
22
9
HONOR
honor.com
 78
8
8
19
10
Huawei
huawei.com
 74
7
9
19
11
OPPO
oppo.com
 75
8
10
19
12
Fairphone
fairphone.com
 76
8
8
18
13
iQOO
iqoo.com
 70
7
7
17
14
Motorola
motorola.com
 71
7
7
17
15
Nothing
nothing.tech
 71
7
7
17
16
POCO
po.co
 67
7
7
17
17
RedMagic
redmagic.gg
 67
7
7
17
18
Vertu
vertu.com
 70
7
7
17
19
Lenovo
lenovo.com
 64
6
6
16
20
B
Black Shark
blackshark.com
 63
6
6
15
21
Nokia
nokia.com
 62
6
6
15
22
realme
realme.com
 59
6
6
15
23
C
CAT Phones
catphones.com
 58
6
6
14
24
nubia
nubia.com
 54
5
5
14
25
Tecno
tecno-mobile.com
 58
6
6
14
26
HTC
htc.com
 54
5
5
13
27
Infinix
infinixmobility.com
 51
5
5
13
28
Meizu
meizu.com
 52
5
5
13
29
Sharp AQUOS
sharp.com
 51
5
5
13
30
ZTE
zte.com.cn
 54
5
5
13

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 245 shared Flagship 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 245 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 →