Overview Leaderboard Methodology
Industry Report

Self-Help & CBT Apps

Applications that deliver cognitive behavioral therapy techniques, psychoeducation, and structured exercises for managing anxiety, depression, and related conditions.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 287
Total responses: 1,470
Top Brand Overall?
Woebot
68/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Headspace
92

Highest score on the LBA metric.

Authority Leader?
MindShift CBT
59

Highest score on the Authority metric.

TOM Leader?
Woebot
100

Highest score on the TOM metric.

Self-Help & CBT Apps has no dominant brand in AI responses

Woebot is the top-ranked brand here, but its overall score of 68 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Self-Help & CBT Apps with varied recommendations from query to query - users get a different set of suggestions each time. This is the kind of category where mid-tier brands still have room to move up.

Brand Leaderboard All 37 Self-Help & CBT 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
Woebot
woebothealth.com
 70
44
100
68
2
MindShift CBT
anxietycanada.com
 57
59
81
65
3
S
Sanvello
sanvello.com
 72
32
91
60
4
Wysa
wysa.com
 75
32
43
47
5
CBT Thought Diary
cbtthoughtdiary.com
 33
12
47
27
6
Headspace
headspace.com
 92
22
6
23
7
Calm
calm.com
 90
10
4
15
8
Happify
happify.com
 63
2
23
15
9
MoodTools
moodtools.org
 32
10
6
12
10
Daylio
daylio.net
 67
6
4
11
11
M
Moodnotes
moodnotes.com
 64
4
4
10
12
MoodMission
moodmission.com
 34
0
14
5
13
MindDoc
minddoc.com
 56
0
12
3
14
MoodKit
thriveport.com
 54
0
44
3
15
BetterHelp
betterhelp.com
 80
0
6
2
16
Youper
youper.ai
 53
0
23
2
17
Intellect
intellect.co
 43
0
1
1
18
Moodfit
getmoodfit.com
 45
0
1
1
19
Talkspace
talkspace.com
 75
0
4
1
20
Amaha
amahahealth.com
 61
0
0
0
21
Beating the Blues
beatingtheblues.co.uk
 50
0
0
0
22
Deprexis
deprexis.com
 54
0
0
0
23
F
FreeCBT
freecbt.org
 5
0
0
0
24
G
GG OCD
ggocd.com
 0
0
0
0
25
Iona
ionamind.com
 0
0
0
0
26
iPrevail
iprevail.com
 43
0
0
0
27
Learn to Live
learntolive.com
 44
0
0
0
28
Meru Health
meruhealth.com
 52
0
0
0
29
Minddistrict
minddistrict.com
 32
0
0
0
30
MindEase
mindease.ai
 0
0
0
0
31
MindSpa
mindspa.co
 8
0
0
0
32
NOCD
nocd.com
 63
0
0
0
33
Rootd
rootd.io
 42
0
0
0
34
SilverCloud
silvercloudhealth.com
 65
0
0
0
35
Sleepio
sleepio.com
 77
0
0
0
36
THIS WAY UP
thiswayup.org.au
 51
0
0
0
37
Unmind
unmind.com
 51
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 287 shared Self-Help & CBT 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 →