Overview Leaderboard Methodology
Industry Report

Meeting Coordination Suites

Comprehensive tools combining scheduling, agenda management, meeting notes, and integrations to streamline meeting workflows.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,399
Top Brand Overall?
Calendly
77/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Google
93

Highest score on the LBA metric in this industry.

Authority Leader?
Calendly
73

Highest score on the Authority metric in this industry.

TOM Leader?
Microsoft
91

Highest score on the TOM metric in this industry.

Calendly leads the Meeting Coordination Suites category in AI responses

Calendly is the most consistently-surfaced brand when users ask AI assistants about Meeting Coordination Suites, but not to the point of monopolising the conversation. Microsoft and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 35 Meeting Coordination Suites 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
Calendly
calendly.com
 89
73
69
77
2
Microsoft
microsoft.com
 80
42
91
68
3
Google
google.com
 93
29
79
60
4
Fellow
fellow.app
 75
37
45
50
5
Doodle
doodle.com
 82
34
39
48
6
Zoom Workplace
zoom.com
 86
10
44
35
7
Notion
notion.so
 77
10
35
31
8
Chili Piper
chilipiper.com
 84
11
19
27
9
Fireflies.ai
fireflies.ai
 75
7
27
27
10
C
Clockwise
clockwise.com
 76
8
25
26
11
SavvyCal
savvycal.com
 72
12
13
24
12
Slack
slack.com
 79
8
18
24
13
Motion
usemotion.com
 47
5
28
21
14
Otter
otter.ai
 57
6
23
21
15
Cal.com
cal.com
 78
9
8
19
16
Reclaim.ai
reclaim.ai
 79
8
8
19
17
Read AI
read.ai
 73
7
7
18
18
YouCanBookMe
youcanbook.me
 74
7
7
18
19
OnceHub
oncehub.com
 70
7
7
17
20
tl;dv
tldv.io
 64
6
6
16
21
Appointlet
appointlet.com
 59
6
6
15
22
Avoma
avoma.com
 62
6
6
15
23
Sembly AI
sembly.ai
 60
6
6
15
24
Tactiq
tactiq.io
 58
6
6
14
25
MeetGeek
meetgeek.ai
 53
5
5
13
26
Boardable
boardable.com
 45
5
5
12
27
Fathom
fathom.video
 48
5
5
12
28
OnBoard
onboardmeetings.com
 49
5
5
12
29
Sherpany
sherpany.com
 46
5
5
12
30
Hugo
hugo.team
 44
4
4
11
31
Hypercontext
hypercontext.com
 36
4
4
10
32
Supernormal
supernormal.com
 37
4
4
10
33
MeetingKing
meetingking.com
 34
3
3
9
34
Circleback
circleback.ai
 30
3
3
8
35
Beenote
beenote.io
 26
3
3
7

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Meeting Coordination Suites 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 275 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 →