Overview Leaderboard Methodology
Industry Report

Help Center Platforms

Platforms that provide hosted self-service help centers, searchable knowledge bases, and article management for customer support teams.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Zendesk
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
HubSpot
90

Highest score on the LBA metric.

Authority Leader?
Zendesk
100

Highest score on the Authority metric.

TOM Leader?
Zendesk
100

Highest score on the TOM metric.

Zendesk is the default answer in AI responses for Help Center Platforms

Zendesk and Intercom together dominate AI responses for Help Center 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 Help Center 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
Zendesk
zendesk.com
 86
100
100
95
2
Intercom
intercom.com
 81
82
97
86
3
Help Scout
helpscout.com
 72
53
88
69
4
Freshdesk
freshdesk.com
 83
39
85
65
5
Document360
document360.com
 64
37
75
57
6
Guru
getguru.com
 64
9
39
28
7
Zoho Desk
zohodesk.com
 81
8
23
25
8
Notion
notion.so
 81
6
24
23
9
Salesforce
salesforce.com
 82
5
27
22
10
GitBook
gitbook.com
 78
7
7
16
11
Helpjuice
helpjuice.com
 55
4
10
14
12
Freshworks
freshworks.com
 75
0
13
7
13
Atlassian
atlassian.com
 86
0
12
2
14
HelpKit
helpkit.so
 47
0
9
2
15
HubSpot
hubspot.com
 90
0
14
2
16
Super
super.so
 26
0
16
2
17
ClickHelp
clickhelp.com
 50
0
1
1
18
Crisp
crisp.chat
 70
0
4
1
19
Gorgias
gorgias.com
 73
0
4
1
20
ReadMe
readme.com
 85
0
2
1
21
Stonly
stonly.com
 41
0
1
1
22
Archbee
archbee.com
 54
0
0
0
23
Deskpro
deskpro.com
 57
0
0
0
24
eDesk
edesk.com
 59
0
0
0
25
Groove
groove.co
 54
0
0
0
26
HappyFox
happyfox.com
 61
0
0
0
27
HelpCrunch
helpcrunch.com
 62
0
0
0
28
HelpDocs
helpdocs.io
 48
0
0
0
29
HelpSite
helpsite.com
 21
0
0
0
30
Kayako
kayako.com
 53
0
0
0
31
KnowledgeOwl
knowledgeowl.com
 58
0
0
0
32
Knowmax
knowmax.ai
 34
0
0
0
33
LiveAgent
liveagent.com
 69
0
0
0
34
ProProfs
proprofs.com
 57
0
0
0
35
SupportBee
supportbee.com
 34
0
0
0
36
TeamSupport
teamsupport.com
 56
0
0
0
37
UserEcho
userecho.com
 34
0
0
0
38
UVdesk
uvdesk.com
 43
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Help Center 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 →