Overview Leaderboard Methodology
Industry Report

Mood Tracking Apps

Apps that help users log emotions, symptoms, triggers, and medication to monitor mental-health trends and inform clinicians or personal care plans.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Daylio
85/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Wysa
74

Highest score on the LBA metric in this industry.

Authority Leader?
Daylio
93

Highest score on the Authority metric in this industry.

TOM Leader?
Daylio
100

Highest score on the TOM metric in this industry.

Daylio is the default answer in AI responses for Mood Tracking Apps

When users ask ChatGPT, Claude, or Gemini about Mood Tracking Apps, Daylio is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Bearable 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 34 Mood Tracking 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
Daylio
daylio.net
 66
93
100
85
2
Bearable
bearable.app
 42
71
94
66
3
eMoods
emoodtracker.com
 32
52
72
50
4
M
Moodnotes
moodnotes.com
 58
17
52
38
5
MindDoc
minddoc.com
 57
14
56
36
6
Reflectly
reflectly.app
 61
9
70
36
7
Moodfit
getmoodfit.com
 49
19
29
30
8
S
Sanvello
sanvello.com
 66
7
20
22
9
Wysa
wysa.com
 74
7
7
18
10
Youper
youper.ai
 59
6
12
18
11
Stoic
stoicroutine.com
 36
4
22
16
12
Finch
finchcare.com
 59
6
6
15
13
Woebot
woebothealth.com
 62
6
6
15
14
Happify
happify.com
 56
6
6
14
15
T
T2 Mood Tracker
t2health.dcoe.mil
 55
6
6
14
16
Journey
journey.cloud
 40
4
11
13
17
Notion
notion.so
 53
5
5
13
18
How We Feel
howwefeel.org
 44
4
5
12
19
CareClinic
careclinic.io
 40
4
4
11
20
MyTherapy
mytherapyapp.com
 44
4
4
11
21
Aloe Bud
aloebud.com
 39
4
4
10
22
DailyBean
dailybean.app
 28
3
3
8
23
Medisafe
medisafe.com
 31
3
3
8
24
Moodflow
moodflow.co
 0
8
27
8
25
Breeze
breeze.pm
 19
2
2
6
26
MoodTools
moodtools.org
 20
2
2
6
27
Pixels
pixels.chat
 18
2
3
6
28
S
Symple
sympleapp.com
 19
2
2
5
29
Effecto
effecto.app
 12
1
1
4
30
MoodMission
moodmission.com
 14
1
1
4
31
Moodistory
moodistory.com
 7
1
1
2
32
iMoodJournal
imoodjournal.com
 4
0
0
1
33
Juli
juli.co
 1
0
0
0
34
U
UpBeing
upbeing.app
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Mood Tracking 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 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 →