Overview Leaderboard Methodology
Industry Report

Documentation Platforms

Tools designed for creating and maintaining technical documentation, product manuals, API docs, and developer guides with versioning and collaboration features.

Brands tracked: 39
Brands analyzed: 39
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 294
Total responses: 1,530
Top Brand Overall?
Notion
79/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Notion
91

Highest score on the LBA metric.

Authority Leader?
GitBook
75

Highest score on the Authority metric.

TOM Leader?
Notion
98

Highest score on the TOM metric.

Notion leads the Documentation Platforms category in AI responses

Notion is the most consistently-surfaced brand when users ask AI assistants about Documentation Platforms, but not to the point of monopolising the conversation. GitBook 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 39 Documentation 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
Notion
notion.so
 91
54
98
79
2
GitBook
gitbook.com
 79
75
81
78
3
ReadMe
readme.com
 83
36
56
55
4
Docusaurus
docusaurus.io
 87
33
50
52
5
Document360
document360.com
 71
16
55
40
6
MkDocs
mkdocs.org
 87
12
43
36
7
Slab
slab.com
 63
7
53
28
8
Zendesk
zendesk.com
 81
8
25
25
9
Coda
coda.io
 76
8
23
24
10
Guru
getguru.com
 74
5
40
24
11
Mintlify
mintlify.com
 68
11
8
19
12
Nuclino
nuclino.com
 67
3
27
18
13
Slite
slite.com
 58
4
6
11
14
Stoplight
stoplight.io
 76
2
7
10
15
Read the Docs
readthedocs.io
 82
1
4
6
16
Redocly
redocly.com
 67
0
6
4
17
Outline
getoutline.com
 63
0
8
3
18
Atlassian
atlassian.com
 85
0
8
2
19
Help Scout
helpscout.com
 68
0
14
2
20
M
Material for MkDocs
squidfunk.github.io
 85
0
17
2
21
ClickHelp
clickhelp.com
 45
0
1
1
22
Fern
buildwithfern.com
 45
0
1
1
23
Helpjuice
helpjuice.com
 49
0
6
1
24
MadCap Flare
madcapsoftware.com
 78
0
4
1
25
Paligo
paligo.net
 60
0
1
1
26
Sphinx
sphinx-doc.org
 48
0
3
1
27
Swagger
swagger.io
 84
0
2
1
28
Tettra
tettra.com
 59
0
1
1
29
Antora
antora.org
 47
0
0
0
30
Apiary
apiary.io
 57
0
0
0
31
Archbee
archbee.com
 60
0
0
0
32
DeveloperHub
developerhub.io
 5
0
0
0
33
Docsie
docsie.io
 40
0
0
0
34
Docsy
docsy.dev
 50
0
0
0
35
Documize
documize.com
 32
0
0
0
36
HelpDocs
helpdocs.io
 48
0
0
0
37
KnowledgeOwl
knowledgeowl.com
 59
0
0
0
38
Notaku
notaku.so
 25
0
0
0
39
Stonly
stonly.com
 42
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 294 shared Documentation 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 294 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 →