Overview Leaderboard Methodology
Industry Report

Video Collaboration and Hybrid Work Tools

Integrated video-first collaboration tools that combine meetings, persistent team spaces, document collaboration, and asynchronous video features for hybrid work.

Brands tracked: 39
Brands analyzed: 39
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 299
Total responses: 1,540
Top Brand Overall?
Microsoft
88/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Zoom
94

Highest score on the LBA metric.

Authority Leader?
Microsoft
84

Highest score on the Authority metric.

TOM Leader?
Zoom
100

Highest score on the TOM metric.

Microsoft is the default answer in AI responses for Video Collaboration and Hybrid Work Tools

Microsoft and Zoom together dominate AI responses for Video Collaboration and Hybrid Work Tools. 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 39 Video Collaboration and Hybrid Work 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
Microsoft
microsoft.com
 83
84
98
88
2
Zoom
zoom.us
 94
71
100
87
3
Google
google.com
 90
61
89
79
4
Loom
loom.com
 82
37
58
56
5
Slack
slack.com
 75
29
73
54
6
Zoom Workplace
zoom.com
 81
13
70
42
7
Webex
webex.com
 78
13
67
41
8
Miro
miro.com
 83
17
36
37
9
Notion
notion.so
 80
14
13
24
10
Vidyard
vidyard.com
 79
4
8
14
11
Frame.io
frame.io
 82
5
6
13
12
ClickUp
clickup.com
 74
2
13
12
13
Asana
asana.com
 76
1
2
5
14
Figma
figma.com
 86
0
2
3
15
Whereby
whereby.com
 72
0
25
3
16
B
BlueJeans
bluejeans.com
 59
0
8
2
17
GoTo
goto.com
 68
0
13
2
18
RingCentral Video
ringcentral.com
 61
0
16
2
19
Around
around.co
 52
0
1
1
20
Atlassian
atlassian.com
 65
0
2
1
21
Discord
discord.com
 77
0
2
1
22
Flock
flock.com
 37
0
1
1
23
Lifesize
lifesize.com
 55
0
1
1
24
Pexip
pexip.com
 67
0
1
1
25
Zoho
zoho.com
 59
0
1
1
26
Airmeet
airmeet.com
 59
0
0
0
27
Chanty
chanty.com
 36
0
0
0
28
Claap
claap.io
 38
0
0
0
29
ClickMeeting
clickmeeting.com
 61
0
0
0
30
Jitsi Meet
jitsi.org
 72
0
0
0
31
Mattermost
mattermost.com
 73
0
0
0
32
Nextcloud
nextcloud.com
 70
0
0
0
33
Rocket.Chat
rocket.chat
 66
0
0
0
34
SpatialChat
spatial.chat
 56
0
0
0
35
Spike
spike.team
 15
0
0
0
36
Talkspirit
talkspirit.com
 36
0
0
0
37
Tandem
tandem.chat
 43
0
0
0
38
V
Vowel
vowel.com
 49
0
0
0
39
Wire
wire.com
 41
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 299 shared Video Collaboration and Hybrid Work 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 299 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 →