Overview Leaderboard Methodology
Industry Report

Task Management Apps

Applications focused on creating, assigning, prioritizing, and tracking individual and team tasks to improve daily productivity and workflows.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Todoist
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Todoist
92

Highest score on the LBA metric.

Authority Leader?
Todoist
90

Highest score on the Authority metric.

TOM Leader?
Asana
93

Highest score on the TOM metric.

Todoist is the default answer in AI responses for Task Management Apps

Todoist and Asana together dominate AI responses for Task Management 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 37 Task Management Apps 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
Todoist
todoist.com
 92
90
76
86
2
Asana
asana.com
 84
66
93
80
3
Trello
trello.com
 77
49
81
68
4
Microsoft
microsoft.com
 85
58
55
65
5
ClickUp
clickup.com
 74
33
68
55
6
Notion
notion.so
 88
25
73
54
7
TickTick
ticktick.com
 81
29
37
44
8
Things
culturedcode.com
 80
6
27
24
9
Google
google.com
 82
9
8
18
10
Any.do
any.do
 70
2
13
11
11
Apple
apple.com
 70
0
6
3
12
Wrike
wrike.com
 77
0
26
3
13
Smartsheet
smartsheet.com
 79
0
6
2
14
Motion
usemotion.com
 69
0
1
1
15
OmniFocus
omnigroup.com
 84
0
2
1
16
Atlassian
atlassian.com
 84
0
0
0
17
Basecamp
basecamp.com
 78
0
0
0
18
FacileThings
facilethings.com
 39
0
0
0
19
Freedcamp
freedcamp.com
 55
0
0
0
20
Kanban Tool
kanbantool.com
 64
0
0
0
21
Linear
linear.app
 83
0
0
0
22
MeisterTask
meistertask.com
 73
0
0
0
23
Monday CRM
monday.com
 72
0
0
0
24
Nirvana
nirvanahq.com
 27
0
0
0
25
Nozbe
nozbe.com
 66
0
0
0
26
nTask
ntaskmanager.com
 52
0
0
0
27
Plaky
plaky.com
 35
0
0
0
28
Quire
quire.io
 53
0
0
0
29
Remember The Milk
rememberthemilk.com
 70
0
0
0
30
SkedPal
skedpal.com
 55
0
0
0
31
Sunsama
sunsama.com
 69
0
0
0
32
Taskade
taskade.com
 70
0
0
0
33
Taskworld
taskworld.com
 49
0
0
0
34
Teamwork
teamwork.com
 74
0
0
0
35
TeuxDeux
teuxdeux.com
 52
0
0
0
36
Toodledo
toodledo.com
 66
0
0
0
37
Zenkit
zenkit.com
 58
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Task Management 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
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 287 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 →