Overview Leaderboard Methodology
Industry Report

Direct-To-Consumer Telehealth Providers

Companies offering consumer-facing virtual care services that provide diagnosis, treatment plans, and prescriptions directly to patients via apps or websites.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
Teladoc
76/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Hims
81

Highest score on the LBA metric in this industry.

Authority Leader?
Teladoc
55

Highest score on the Authority metric in this industry.

TOM Leader?
Teladoc
100

Highest score on the TOM metric in this industry.

Teladoc leads the Direct-To-Consumer Telehealth Providers category in AI responses

Teladoc is the most consistently-surfaced brand when users ask AI assistants about Direct-To-Consumer Telehealth Providers, but not to the point of monopolising the conversation. Amwell and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 38 Direct-To-Consumer Telehealth Providers 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
Teladoc
teladoc.com
 79
55
100
76
2
Amwell
amwell.com
 57
43
85
59
3
Teladoc Health
teladochealth.com
 72
14
93
47
4
MDLIVE
mdlive.com
 72
14
63
41
5
Doctor On Demand
doctorondemand.com
 77
10
62
39
6
PlushCare
plushcare.com
 67
9
77
39
7
Sesame
sesamecare.com
 57
16
49
37
8
K Health
khealth.com
 61
6
58
31
9
Amazon
amazon.com
 69
12
27
29
10
Hims
hims.com
 81
8
26
28
11
Hers
forhers.com
 80
8
23
26
12
Included Health
includedhealth.com
 61
6
34
26
13
BetterHelp
betterhelp.com
 75
7
19
24
14
Talkspace
talkspace.com
 73
7
19
23
15
Ro
ro.co
 73
7
16
22
16
Nurx
nurx.com
 75
8
13
21
17
Amazon One Medical
onemedical.com
 69
7
12
20
18
CVS MinuteClinic Virtual Care
cvs.com
 57
6
14
18
19
Maven Clinic
mavenclinic.com
 71
7
7
17
20
Numan
numan.com
 64
6
6
16
21
Brightside Health
brightside.com
 58
6
6
15
22
Circle Medical
circlemedical.com
 61
6
6
15
23
Wisp
hellowisp.com
 61
6
6
15
24
Lemonaid Health
lemonaidhealth.com
 56
6
6
14
25
Rula
rula.com
 55
6
6
14
26
ZAVA
zavamed.com
 54
5
5
14
27
Push Doctor
pushdoctor.co.uk
 52
5
5
13
28
SteadyMD
steadymd.com
 53
5
5
13
29
Talkiatry
talkiatry.com
 53
5
5
13
30
98point6
98point6.com
 48
5
5
12
31
GoodRx Care
goodrx.com
 47
5
5
12
32
LifeMD
lifemd.com
 48
5
5
12
33
Galileo
galileo.io
 36
4
4
10
34
Manual
manual.co
 39
4
4
10
35
Virtuwell
virtuwell.com
 37
4
4
10
36
QuickMD
quick.md
 36
4
4
9
37
Alpha Medical
helloalpha.com
 9
1
1
3
38
CallOnDoc
callondoc.com
 10
1
1
3

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Direct-To-Consumer Telehealth Providers 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 293 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 →