Overview Leaderboard Methodology
Industry Report

Note-Taking Apps

Personal knowledge management and note apps.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
Microsoft
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Apple Notes
94

Highest score on the LBA metric in this industry.

Authority Leader?
Microsoft
80

Highest score on the Authority metric in this industry.

TOM Leader?
Notion
94

Highest score on the TOM metric in this industry.

Microsoft is the default answer in AI responses for Note-Taking Apps

Microsoft and OneNote together dominate AI responses for Note-Taking Apps. 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 35 Note-Taking Apps 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
Microsoft
microsoft.com
 92
80
88
86
2
OneNote
onenote.com
 91
79
88
86
3
Obsidian
obsidian.md
 85
60
84
76
4
Notion
notion.so
 80
57
94
75
5
Apple Notes
icloud.com
 94
52
76
72
6
Evernote
evernote.com
 76
31
86
59
7
Google
google.com
 87
29
67
56
8
Bear
bear.app
 73
7
52
33
9
Simplenote
simplenote.com
 75
7
30
28
10
Craft
craft.do
 73
7
19
24
11
Goodnotes
goodnotes.com
 87
9
14
24
12
Joplin
joplinapp.org
 73
7
19
24
13
Samsung
samsung.com
 79
8
18
24
14
Notability
gingerlabs.com
 79
8
8
19
15
Coda
coda.io
 75
7
7
18
16
Logseq
logseq.com
 76
8
8
18
17
Roam Research
roamresearch.com
 76
8
8
18
18
Workflowy
workflowy.com
 76
8
8
18
19
Milanote
milanote.com
 70
7
7
17
20
RemNote
remnote.com
 70
7
7
17
21
Standard Notes
standardnotes.com
 71
7
7
17
22
Anytype
anytype.io
 65
6
6
16
23
Nebo
myscript.com
 64
6
6
16
24
NotePlan
noteplan.co
 67
7
7
16
25
Heptabase
heptabase.com
 60
6
6
15
26
Mem
mem.ai
 63
6
6
15
27
Notesnook
notesnook.com
 60
6
6
15
28
Zoho
zoho.com
 62
6
6
15
29
Amplenote
amplenote.com
 57
6
6
14
30
Inkdrop
inkdrop.app
 57
6
6
14
31
UpNote
getupnote.com
 54
5
6
14
32
Agenda
agenda.com
 53
5
5
13
33
Capacities
capacities.io
 52
5
5
13
34
Tana
tana.inc
 52
5
5
13
35
Supernotes
supernotes.app
 31
3
3
8

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Note-Taking Apps 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 275 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 →