HR AI Index

Index › Vendors › BetterHelp · September 2026 Edition

1 category · Named, not ranked

BetterHelp

13Judge labels

0First choices

9Negative labels

8 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.

Standing

8 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. BetterHelp was named 8 times in Employee wellbeing, where Wellable led with 30%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business52 of 78

under the label threshold

Mid-market97 of 99

under the label threshold

Enterprise62 of 66

under the label threshold

In employee wellbeing · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named BetterHelp for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Employee wellbeing and mental health	Onboarding and employee experience	0%	97 of 99	88%	8	under 10 labels · led by Wellable at 30%

Movement

This is the first edition on this tier, so no move can be computed for BetterHelp yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated BetterHelp across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Negative	Labels
Claude Haiku 4.5	0	1	1
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	1	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	1	0	1
Kimi K2	0	1	1
GLM 4.7 FlashX	0	1	1
MiniMax M2.5	0	1	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase2 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative10 labelsNone

First choiceAlternativeMentionNegative13 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“BetterHelp (for connection to humans)” Qwen 3.7 Flash · Employee wellbeing · negative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Apps to Avoid or Use with Extreme Caution ... Better Help - Shared personal information with third parties, vague privacy policies” MiniMax M2.5 · Employee wellbeing · negative prompt · hard negative

“BetterHelp, Talkspace, and Headspace have been found to have widespread issues with data collection, sharing, and storage” Claude Haiku 4.5 · Employee wellbeing · negative prompt · hard negative

“Shared users' sensitive mental health data ... $7.8 million fine and a ban from sharing health data for advertising” Kimi K2 · Employee wellbeing · negative prompt · hard negative

“FTC 2023 settlement ($7.8M); shared health data (e.g., therapy-related info) for ads.” Grok 4.1 Fast · Employee wellbeing · negative prompt · hard negative

Named alongside

The products named in the same answers as BetterHelp, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and BetterHelp was named but was not.

ProductSame answerTook the first choice insteadHead to head

Headspace10 of 132Not in the top three

Calm9 of 131Not in the top three

Talkspace8 of 130Not in the top three

Cerebral6 of 130Not in the top three

Wysa4 of 132Not in the top three

Woebot4 of 130Not in the top three

PTSD Coach3 of 132Not in the top three

Ginger3 of 130Not in the top three

Replika: My AI Friend3 of 130Not in the top three

Youper3 of 130Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named BetterHelp. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 8 of the 13 answers that named BetterHelp and are not a share of its labels.

Domains cited

mozillafoundation.org5

pmc.ncbi.nlm.nih.gov5

unimelb.edu.au4

apps.apple.com3

centralbank.net3

consumer.ftc.gov3

corehealth.global3

ftc.gov3

ivymindcare.com3

arxiv.org2

Thirty-four of the thirty-four domain citations in answers naming BetterHelp came from somebody else's page.

Pages cited

pmc.ncbi.nlm.nih.gov/articles/PMC96439454

unimelb.edu.au/__data/assets/pdf_file/0008/4824404/Mental-Health-Apps-Report-updated-17-De4

centralbank.net/learning-center/security/emerging-trends/7-red-flags-of-wellness-scams-on-3

corehealth.global/blog/pitfalls-in-corporate-wellness-platforms3

ftc.gov/news-events/news/press-releases/2023/07/ftc-gives-final-approval-order-banning-bet3

ivymindcare.com/business/resources/employee-wellbeing-platform-buyers-guide3

consumer.ftc.gov/articles/common-health-scams2

dpmstest.kaefer.com/article/how-to-spot-wellness-scams-and-protect-your-health-and-money2

Pages are listed as the models cited them.

Names read as BetterHelp

What the judge wrote, as written, with how often. The vendor table decides that these count as BetterHelp; a claim can dispute any of them.

Better Help 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when BetterHelp's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as BetterHelp, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at betterhelp.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.