Overview Leaderboard Methodology
Industry Report

Knowledge Base Software

Customer-facing and internal help center platforms that organize FAQs, troubleshooting guides, and product documentation for easy search and self-service.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
Notion
76/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
89

Highest score on the LBA metric in this industry.

Authority Leader?
Zendesk
62

Highest score on the Authority metric in this industry.

TOM Leader?
Atlassian
88

Highest score on the TOM metric in this industry.

Notion leads the Knowledge Base Software category in AI responses

Notion is the most consistently-surfaced brand when users ask AI assistants about Knowledge Base Software, but not to the point of monopolising the conversation. Atlassian 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 36 Knowledge Base Software 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
Notion
notion.so
 86
61
84
76
2
Atlassian
atlassian.com
 83
57
88
75
3
Zendesk
zendesk.com
 81
62
78
73
4
Document360
document360.com
 70
36
70
57
5
Guru
getguru.com
 70
27
87
55
6
Help Scout
helpscout.com
 75
29
52
49
7
Intercom
intercom.com
 83
30
44
48
8
Freshworks
freshworks.com
 74
15
31
33
9
Slab
slab.com
 72
10
34
31
10
GitBook
gitbook.com
 83
12
21
29
11
Coda
coda.io
 76
8
19
24
12
Microsoft
microsoft.com
 89
9
13
24
13
Nuclino
nuclino.com
 71
7
21
24
14
BookStack
bookstackapp.com
 72
8
13
21
15
ReadMe
readme.com
 80
8
10
21
16
MediaWiki
mediawiki.org
 79
8
8
19
17
eGain
egain.com
 72
7
7
18
18
Helpjuice
helpjuice.com
 61
6
12
18
19
Slite
slite.com
 68
7
10
18
20
XWiki
xwiki.com
 72
7
7
18
21
ProProfs
proprofs.com
 67
7
7
17
22
Capacity
capacity.com
 64
6
6
16
23
Bloomfire
bloomfire.com
 63
6
6
15
24
Tettra
tettra.com
 59
6
6
15
25
ClickHelp
clickhelp.com
 56
6
6
14
26
Deskpro
deskpro.com
 57
6
6
14
27
Inbenta
inbenta.com
 55
5
5
14
28
KnowledgeOwl
knowledgeowl.com
 57
6
6
14
29
phpMyFAQ
phpmyfaq.de
 58
6
6
14
30
Archbee
archbee.com
 53
5
5
13
31
Heroic KB
herothemes.com
 52
5
5
13
32
Stonly
stonly.com
 46
5
5
12
33
HelpDocs
helpdocs.io
 41
4
4
11
34
Knowmax
knowmax.ai
 41
4
4
11
35
KMS Lighthouse
kmslh.com
 37
4
4
10
36
Panviva
panviva.com
 33
3
3
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Knowledge Base Software 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 281 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 →