Overview Leaderboard Methodology
Industry Report

Carbonated Soft Drinks

Sweetened, flavored beverages with carbonation sold in cans or bottles, including colas, fruit-flavored sodas, and diet/light variants.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Coca-Cola
91/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Pepsi
95

Highest score on the LBA metric in this industry.

Authority Leader?
Coca-Cola
81

Highest score on the Authority metric in this industry.

TOM Leader?
Coca-Cola
100

Highest score on the TOM metric in this industry.

Coca-Cola is the default answer in AI responses for Carbonated Soft Drinks

When users ask ChatGPT, Claude, or Gemini about Carbonated Soft Drinks, Coca-Cola is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Pepsi 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 37 Carbonated Soft Drinks 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
Coca-Cola
coca-cola.com
 92
81
100
91
2
Pepsi
pepsi.com
 95
37
92
69
3
Sprite
sprite.com
 82
37
80
63
4
Dr Pepper
drpepper.com
 79
17
79
48
5
Fanta
fanta.com
 85
9
72
40
6
Mountain Dew
mountaindew.com
 85
9
57
37
7
7UP
7up.com
 75
12
48
36
8
Canada Dry
canadadry.com
 77
11
45
35
9
A
A&W
awrootbeer.com
 69
7
53
32
10
Diet Coke
coke.com
 89
9
25
29
11
Perrier
perrier.com
 78
8
11
21
12
S.Pellegrino
sanpellegrino.com
 86
9
9
21
13
Topo Chico
topochico.com
 80
8
11
21
14
B
bubly
bubly.com
 81
8
8
20
15
LaCroix
lacroixwater.com
 73
7
12
20
16
S
Schweppes
schweppes.com
 79
8
9
20
17
Spindrift
drinkspindrift.com
 76
8
10
20
18
Inca Kola
incakola.com
 79
8
8
19
19
Mug
mugrootbeer.com
 69
7
12
19
20
OLIPOP
drinkolipop.com
 76
8
8
19
21
Vernors
vernors.com
 79
8
8
19
22
Barq's
barqs.com
 72
7
7
18
23
G
Guaraná Antarctica
guaranaantarctica.com.br
 75
7
7
18
24
Poppi
drinkpoppi.com
 74
7
7
18
25
RC Cola
rccola.com
 62
6
10
18
26
Cheerwine
cheerwine.com
 68
7
7
17
27
Crush
crushsoda.com
 71
7
7
17
28
Irn-Bru
irn-bru.co.uk
 68
7
7
17
29
Jarritos
jarritos.com
 72
7
7
17
30
Jones Soda
jonessoda.com
 69
7
7
17
31
Orangina
orangina.com
 70
7
7
17
32
A
Appy Fizz
appyfizz.com
 67
7
7
16
33
Faygo
faygo.com
 66
7
7
16
34
Kofola
kofola.cz
 65
7
7
16
35
Sumol
sumol.com
 63
6
6
16
36
Sunkist
sunkistsoda.com
 65
7
7
16
37
M
Mirinda
mirinda.com
 63
6
6
15

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Carbonated Soft Drinks 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 287 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 →