Overview Leaderboard Methodology
Industry Report

Consumer Laptops

Portable personal computers sold to general consumers, focused on everyday use, multimedia, and balanced performance.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 245
Total responses: 1,225
Top Brand Overall?
Apple
85/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Apple
100

Highest score on the LBA metric in this industry.

Authority Leader?
Apple
62

Highest score on the Authority metric in this industry.

TOM Leader?
Apple
100

Highest score on the TOM metric in this industry.

Apple is the default answer in AI responses for Consumer Laptops

When users ask ChatGPT, Claude, or Gemini about Consumer Laptops, Apple is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Lenovo 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 Consumer Laptops 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
Apple
apple.com
 100
62
100
85
2
Lenovo
lenovo.com
 88
49
85
72
3
Dell
dell.com
 84
38
95
68
4
HP
hp.com
 84
28
65
54
5
Microsoft
microsoft.com
 100
30
43
51
6
ROG
asus.com
 87
9
9
21
7
LG
lg.com
 85
8
8
20
8
Razer
razer.com
 82
8
8
20
9
Samsung
samsung.com
 85
9
9
20
10
Alienware
alienware.com
 79
8
8
19
11
Framework
frame.work
 77
8
8
19
12
AORUS
aorus.com
 73
7
7
18
13
MSI
msi.com
 73
7
7
18
14
Predator
acer.com
 72
7
7
18
15
Huawei
huawei.com
 69
7
7
17
16
VAIO
vaio.com
 70
7
7
17
17
Xiaomi
xiaomi.com
 72
7
7
17
18
Gigabyte
gigabyte.com
 67
7
7
16
19
HONOR
honor.com
 63
6
6
16
20
Dynabook
dynabook.com
 59
6
6
15
21
Fujitsu
fujitsu.com
 62
6
6
15
22
Medion
medion.com
 60
6
6
15
23
Infinix
infinixmobility.com
 52
5
5
13
24
Chuwi
chuwi.com
 49
5
5
12
25
C
Clevo
clevo.com.tw
 48
5
5
12
26
Eurocom
eurocom.com
 47
5
5
12
27
Packard Bell
packardbell.com
 46
5
5
12
28
Tecno
tecno-mobile.com
 45
5
5
12
29
Avita
avita.com
 39
4
4
10
30
Prestigio
prestigio.com
 19
2
2
5

How is this calculated? Methodology

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