Overview Leaderboard Methodology
Industry Report

Tortilla Chips

Crispy, corn-based chips often triangular, commonly salted or flavored and paired with dips like salsa, guacamole, or queso.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
Tostitos
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Tostitos
89

Highest score on the LBA metric.

Authority Leader?
Tostitos
76

Highest score on the Authority metric.

TOM Leader?
Tostitos
100

Highest score on the TOM metric.

Tostitos is the default answer in AI responses for Tortilla Chips

When users ask ChatGPT, Claude, or Gemini about Tortilla Chips, Tostitos is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Siete 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 32 Tortilla Chips 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
Tostitos
tostitos.com
 89
76
100
88
2
Siete
sietefoods.com
 76
42
82
64
3
Late July
latejuly.com
 73
43
77
62
4
On The Border
ontheborderchips.com
 66
35
92
60
5
Xochitl
xochitlchipsandsalsa.com
 58
39
67
53
6
Santitas
santitas.com
 48
21
62
40
7
Mission
missionfoods.com
 65
9
26
25
8
Food Should Taste Good
foodshouldtastegood.com
 74
5
2
9
9
Doritos
doritos.com
 79
0
10
2
10
Xochitl White Corn Tortilla Chips
xochitl.com
 52
0
7
2
11
Cabo Chips
cabochips.com
 14
0
5
1
12
Casa Sanchez
casasanchezsf.com
 33
0
1
1
13
E
El Milagro
elmilagroinc.com
 50
0
0
1
14
M
Mi Nina
mininacornchips.com
 5
0
2
1
15
Que Pasa
quepasafoods.com
 53
0
0
1
16
Takis
takis.com
 67
4
0
1
17
B
Beanfields
beanfields.com
 65
0
0
0
18
C
Cartel
cartelchips.com
 8
0
0
0
19
Chicas
chicaschips.com
 1
0
0
0
20
Donkey Chips
donkeychips.com
 0
0
0
0
21
El Sabroso
elsabroso.com
 29
0
0
0
22
Equate
walmart.com
 35
0
0
0
23
Fox Family Chips
foxfamilychips.com
 3
0
0
0
24
Garden of Eatin'
gardenofeatin.com
 69
0
0
0
25
J
Julio's
juliochips.com
 21
0
0
0
26
Masa
masachips.com
 12
0
0
0
27
Paqui
paqui.com
 60
0
0
0
28
RW Garcia
rwgarcia.com
 56
0
0
0
29
T
Tortiyahs!
tortiyahs.com
 0
0
0
0
30
T
Totis
totisnack.com
 33
0
0
0
31
Vista Hermosa
vistahermosaproducts.com
 15
0
0
0
32
Z
Zack's Mighty
zacksmighty.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared Tortilla Chips 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 257 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 →