Overview Leaderboard Methodology
Industry Report

Coffee Shops

Brick-and-mortar chains and independent cafés that brew and sell espresso-based beverages, brewed coffee, and light food items to be consumed on-site or as takeout.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 240
Total responses: 38
Top Brand Overall?
Starbucks
5/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Starbucks
0

Highest score on the LBA metric in this industry.

Authority Leader?
Starbucks
0

Highest score on the Authority metric in this industry.

TOM Leader?
Starbucks
35

Highest score on the TOM metric in this industry.

Coffee Shops is an emerging or highly fragmented category

No brand in Coffee Shops scored above 40 on overall AI visibility. That means AI assistants do not currently recommend specific brands for this category with any consistency. Either the category is too new or too regional for the models to have converged on a default set of answers, or the queries users ask don't lend themselves to brand-specific responses.

Brand Leaderboard All 30 Coffee Shops 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
Starbucks
starbucks.com
 0
0
35
5
2
Blue Bottle Coffee
bluebottlecoffee.com
 0
0
21
4
3
Costa Coffee
costa.co.uk
 0
0
12
3
4
Dutch Bros
dutchbros.com
 0
0
15
3
5
The Coffee Bean & Tea Leaf
coffeebean.com
 0
0
18
3
6
Tim Hortons
timhortons.com
 0
0
19
3
7
Caribou Coffee
cariboucoffee.com
 0
0
8
2
8
Caffè Nero
caffenero.com
 0
0
4
1
9
Philz Coffee
philzcoffee.com
 0
0
5
1
10
Pret A Manger
pret.com
 0
0
5
1
11
% Arabica
arabica.coffee
 0
0
1
0
12
85°C Bakery Cafe
85cbakerycafe.com
 0
0
0
0
13
A
Aroma Espresso Bar
aromaespressobar.com
 0
0
0
0
14
Biggby Coffee
biggby.com
 0
0
0
0
15
Café Coffee Day
cafecoffeeday.com
 0
0
0
0
16
Coffee Beanery
coffeebeanery.com
 0
0
0
0
17
D
Dunkin'
dunkin.com
 0
0
1
0
18
Gloria Jean's Coffees
gloriajeans.com
 0
0
0
0
19
Gregorys Coffee
gregoryscoffee.com
 0
0
1
0
20
illy
illy.com
 0
0
0
0
21
Joe & The Juice
joejuice.com
 0
0
0
0
22
J
Juan Valdez Café
juanvaldezcafe.com
 0
0
0
0
23
Lavazza
lavazza.com
 0
0
1
0
24
Mado
mado.com.tr
 0
0
0
0
25
Manner Coffee
mannercoffee.com
 0
0
0
0
26
Paris Baguette
parisbaguette.com
 0
0
0
0
27
Peet's Coffee
peets.com
 0
0
1
0
28
Scooter's Coffee
scooterscoffee.com
 0
0
0
0
29
Second Cup
secondcup.com
 0
0
0
0
30
Ziggi's Coffee
ziggiscoffee.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 240 shared Coffee Shops 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 →