Overview Leaderboard Methodology
Industry Report

Enterprise Wiki Platforms

Internal knowledge management systems designed for organizations to create, organize, and share company documentation and procedures.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 245
Total responses: 1,225
Top Brand Overall?
Atlassian
94/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Microsoft
86

Highest score on the LBA metric in this industry.

Authority Leader?
Atlassian
100

Highest score on the Authority metric in this industry.

TOM Leader?
Atlassian
100

Highest score on the TOM metric in this industry.

Atlassian is the default answer in AI responses for Enterprise Wiki Platforms

When users ask ChatGPT, Claude, or Gemini about Enterprise Wiki Platforms, Atlassian is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Notion 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 30 Enterprise Wiki Platforms 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
Atlassian
atlassian.com
 83
100
100
94
2
Notion
notion.so
 85
72
96
84
3
Microsoft
microsoft.com
 86
63
76
74
4
Guru
getguru.com
 77
37
83
62
5
Slab
slab.com
 71
32
59
51
6
Document360
document360.com
 66
30
51
47
7
Nuclino
nuclino.com
 65
15
38
34
8
MediaWiki
mediawiki.org
 80
8
34
30
9
BookStack
bookstackapp.com
 60
6
20
21
10
GitBook
gitbook.com
 74
7
13
21
11
XWiki
xwiki.com
 67
7
17
21
12
Bloomfire
bloomfire.com
 65
7
12
19
13
Coda
coda.io
 74
7
9
19
14
DokuWiki
dokuwiki.org
 78
8
8
19
15
Slite
slite.com
 63
6
12
19
16
W
Wiki.js
wikijs.org
 75
8
8
18
17
Simpplr
simpplr.com
 64
6
6
16
18
Tettra
tettra.com
 58
6
10
16
19
Archbee
archbee.com
 61
6
6
15
20
BlueSpice
bluespice.com
 61
6
6
15
21
eXo Platform
exoplatform.com
 61
6
6
15
22
Outline
getoutline.com
 59
6
6
15
23
Trainual
trainual.com
 62
6
6
15
24
KnowledgeOwl
knowledgeowl.com
 55
5
5
14
25
Helpjuice
helpjuice.com
 50
5
5
13
26
Happeo
happeo.com
 45
4
4
11
27
ScreenSteps
screensteps.com
 41
4
4
11
28
Scribe
scribehow.com
 38
4
4
10
29
Kipwise
kipwise.com
 35
4
4
9
30
Papyrs
papyrs.com
 30
3
3
8

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 245 shared Enterprise Wiki 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
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 245 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 →