Overview Leaderboard Methodology
Industry Report

Appointment Booking Platforms

Customer-facing platforms for businesses to offer online appointment booking, payments, reminders, and client management.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Calendly
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
89

Highest score on the LBA metric.

Authority Leader?
Calendly
79

Highest score on the Authority metric.

TOM Leader?
Calendly
100

Highest score on the TOM metric.

Calendly is the default answer in AI responses for Appointment Booking Platforms

Calendly and Acuity Scheduling together dominate AI responses for Appointment Booking Platforms. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 38 Appointment Booking Platforms 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
Calendly
calendly.com
 81
79
100
86
2
Acuity Scheduling
acuityscheduling.com
 84
69
95
82
3
Square Appointments
squareup.com
 84
54
92
75
4
Setmore
setmore.com
 70
22
68
47
5
SimplyBook.me
simplybook.me
 64
26
64
47
6
Fresha
fresha.com
 71
18
27
33
7
Google
google.com
 72
9
15
21
8
Mindbody
mindbodyonline.com
 72
8
16
21
9
Vagaro
vagaro.com
 70
9
16
21
10
Booksy
booksy.com
 70
5
19
18
11
Microsoft
microsoft.com
 89
1
35
13
12
Zoho
zoho.com
 77
0
24
3
13
Bookeo
bookeo.com
 55
7
0
2
14
Doodle
doodle.com
 75
0
6
2
15
HoneyBook
honeybook.com
 76
0
12
2
16
Squarespace
squarespace.com
 80
0
8
2
17
Appointy
appointy.com
 53
0
1
1
18
Cal.com
cal.com
 82
2
0
1
19
OnceHub
oncehub.com
 68
0
2
1
20
vcita
vcita.com
 58
0
1
1
21
Boulevard
joinblvd.com
 67
0
0
0
22
ClinicSense
clinicsense.com
 34
0
0
0
23
GlossGenius
glossgenius.com
 78
0
0
0
24
Meevo
meevo.com
 31
0
0
0
25
Pabau
pabau.com
 56
0
0
0
26
Phorest
phorest.com
 60
0
0
0
27
Picktime
picktime.com
 40
0
0
0
28
Reservio
reservio.com
 51
0
0
0
29
Rosy
rosysalonsoftware.com
 27
0
0
0
30
Schedulicity
schedulicity.com
 56
0
0
0
31
Shore
shore.com
 37
0
0
0
32
StyleSeat
styleseat.com
 62
0
0
0
33
Timely
gettimely.com
 58
0
0
0
34
TIMIFY
timify.com
 43
0
0
0
35
Trafft
trafft.com
 35
0
0
0
36
Yocale
yocale.com
 33
0
0
0
37
YouCanBookMe
youcanbook.me
 76
0
0
0
38
Zenoti
zenoti.com
 71
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Appointment Booking Platforms 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 293 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 →