Overview Leaderboard Methodology
Industry Report

Knowledge Bases

Centralized systems for organizing, storing, and searching institutional knowledge, FAQs, and internal documentation for teams and organizations.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 678
Top Brand Overall?
Notion
87/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Zendesk
93

Highest score on the LBA metric in this industry.

Authority Leader?
Atlassian
79

Highest score on the Authority metric in this industry.

TOM Leader?
Notion
100

Highest score on the TOM metric in this industry.

Notion is the default answer in AI responses for Knowledge Bases

Notion and Atlassian together dominate AI responses for Knowledge Bases. 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 34 Knowledge Bases 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
 91
73
100
87
2
Atlassian
atlassian.com
 81
79
78
79
3
Zendesk
zendesk.com
 93
45
87
71
4
Guru
getguru.com
 72
32
71
55
5
Document360
document360.com
 70
31
57
50
6
GitBook
gitbook.com
 81
18
15
29
7
Slab
slab.com
 22
25
42
29
8
Nuclino
nuclino.com
 71
7
20
24
9
Bloomfire
bloomfire.com
 81
8
8
20
10
Tettra
tettra.com
 72
7
7
17
11
Help Scout
helpscout.com
 0
13
52
12
12
Intercom
intercom.com
 0
11
32
9
13
Freshworks
freshworks.com
 0
1
34
6
14
Helpjuice
helpjuice.com
 0
4
22
6
15
Freshdesk
freshdesk.com
 0
0
34
5
16
Coda
coda.io
 0
2
21
4
17
Microsoft
microsoft.com
 0
4
11
4
18
Slite
slite.com
 0
0
13
3
19
BookStack
bookstackapp.com
 0
2
4
2
20
MediaWiki
mediawiki.org
 0
2
0
1
21
Archbee
archbee.com
 0
0
0
0
22
DokuWiki
dokuwiki.org
 0
0
0
0
23
HelpDocs
helpdocs.io
 0
0
0
0
24
Hudu
hudu.com
 0
0
0
0
25
KnowledgeOwl
knowledgeowl.com
 0
0
0
0
26
Panviva
panviva.com
 0
0
0
0
27
phpMyFAQ
phpmyfaq.de
 0
0
0
0
28
ProProfs
proprofs.com
 0
0
0
0
29
ReadMe
readme.com
 0
0
1
0
30
Scribe
scribehow.com
 0
0
0
0
31
Shelf
shelf.io
 0
0
0
0
32
Stonly
stonly.com
 0
0
0
0
33
Trainual
trainual.com
 0
0
0
0
34
XWiki
xwiki.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Knowledge Bases 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 269 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 →