Overview Leaderboard Methodology
Industry Report

Point‑of‑Sale Systems

Integrated hardware and software solutions used by retailers and restaurants to accept payments, manage inventory, and run transactions at the sales counter.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 252
Total responses: 1,285
Top Brand Overall?
Square Appointments
93/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Square Appointments
81

Highest score on the LBA metric in this industry.

Authority Leader?
Square Appointments
100

Highest score on the Authority metric in this industry.

TOM Leader?
Square Appointments
100

Highest score on the TOM metric in this industry.

Square Appointments is the default answer in AI responses for Point‑of‑Sale Systems

When users ask ChatGPT, Claude, or Gemini about Point‑of‑Sale Systems, Square Appointments is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Clover 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 Point‑of‑Sale Systems 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
Square Appointments
squareup.com
 81
100
100
93
2
Clover
clover.com
 72
64
88
74
3
Shopify Tax
shopify.com
 50
64
92
67
4
Toast
toasttab.com
 81
45
82
67
5
Lightspeed
lightspeedhq.com
 68
48
79
64
6
Zettle
zettle.com
 69
7
31
27
7
Oracle
oracle.com
 74
7
19
24
8
Helcim
helcim.com
 61
7
22
23
9
Revel Systems
revelsystems.com
 63
6
21
22
10
Stripe Billing
stripe.com
 80
8
11
21
11
TouchBistro
touchbistro.com
 68
7
13
20
12
NCR Aloha
ncr.com
 76
8
8
18
13
SumUp
sumup.com
 70
7
7
17
14
Loyverse
loyverse.com
 53
10
5
16
15
SkyTab
skytab.com
 63
6
6
16
16
SpotOn
spoton.com
 63
6
6
16
17
Lavu
lavu.com
 60
6
6
15
18
Epos Now
eposnow.com
 57
6
6
14
19
GoTab
gotab.com
 58
6
6
14
20
SambaPOS
sambapos.com
 56
6
6
14
21
NCR Counterpoint
ncrvoyix.com
 53
5
5
13
22
talech
talech.com
 51
5
5
13
23
Payanywhere
payanywhere.com
 47
5
5
12
24
ConnectPOS
connectpos.com
 42
4
4
11
25
KORONA POS
koronapos.com
 39
4
4
10
26
PAR Brink
partech.com
 33
3
3
9
27
Poster POS
joinposter.com
 33
3
3
9
28
Hike
hikeup.com
 30
3
3
8
29
IT Retail
itretail.com
 30
3
3
8
30
Rezku
rezku.com
 28
3
3
8
31
Heartland Payroll
heartland.us
 24
2
2
7
32
Qu
qubeyond.com
 17
2
2
5

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 252 shared Point‑of‑Sale Systems 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 252 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 →