Overview Leaderboard Methodology
Industry Report

Meeting Scheduling Tools

Tools that enable prospects to self-schedule meetings, sync calendars, automate confirmations, and reduce friction in booking sales conversations.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Calendly
94/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
91

Highest score on the LBA metric.

Authority Leader?
Calendly
100

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 Meeting Scheduling Tools

When users ask ChatGPT, Claude, or Gemini about Meeting Scheduling Tools, Calendly is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Microsoft 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 Meeting Scheduling Tools 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
 84
100
100
94
2
Microsoft
microsoft.com
 91
35
87
65
3
Google
google.com
 85
36
72
60
4
Acuity Scheduling
acuityscheduling.com
 84
27
70
54
5
Doodle
doodle.com
 82
32
56
53
6
Chili Piper
chilipiper.com
 81
15
64
43
7
SavvyCal
savvycal.com
 71
20
36
37
8
HubSpot
hubspot.com
 85
4
48
26
9
OnceHub
oncehub.com
 71
4
49
23
10
Cal.com
cal.com
 81
7
11
19
11
C
Clockwise
clockwise.com
 75
0
6
2
12
Motion
usemotion.com
 54
0
7
2
13
Reclaim.ai
reclaim.ai
 80
0
5
2
14
Z
Zoho Bookings
zohobookings.com
 88
0
5
2
15
Setmore
setmore.com
 74
0
0
1
16
SimplyBook.me
simplybook.me
 68
0
3
1
17
YouCanBookMe
youcanbook.me
 74
0
3
1
18
Appointedd
appointedd.com
 32
0
0
0
19
Appointlet
appointlet.com
 53
0
0
0
20
Appointy
appointy.com
 62
0
0
0
21
Arrangr
arrangr.com
 12
0
0
0
22
Book Like A Boss
booklikeaboss.com
 67
0
0
0
23
Bookafy
bookafy.com
 35
0
0
0
24
Koalendar
koalendar.com
 35
0
0
0
25
Picktime
picktime.com
 37
0
0
0
26
Rallly
rallly.co
 48
0
0
0
27
RevenueHero
revenuehero.io
 54
0
0
0
28
S
Schedulista
schedulista.com
 43
0
0
0
29
SimplyMeet.me
simplymeet.me
 35
0
0
0
30
SuperSaaS
supersaas.com
 62
0
0
0
31
TidyCal
tidycal.com
 60
0
0
0
32
TimeTap
timetap.com
 40
0
0
0
33
TUOTEMPO
tuotempo.com
 31
0
0
0
34
Vyte
vyte.in
 31
0
0
0
35
W
WhatTime
whattime.co.za
 0
0
0
0
36
zcal
zcal.co
 35
0
0
0
37
Zoom Workplace
zoom.com
 78
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Meeting Scheduling Tools 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 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 →