HR AI Index

Index › Vendors › Teamdash · September 2026 Edition

1 category · Named, not ranked

Teamdash

4Judge labels

0First choices

0Negative labels

3 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

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Teamdash was named 1 time in Recruitment marketing, where Teamtailor led with 16%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business29 of 90

under the label threshold

Mid-market57 of 81

under the label threshold

Enterprisenot named

No model named it for this buyer.

In recruitment marketing · 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 Teamdash 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
Recruitment marketing and career sites	Talent acquisition	0%	57 of 81	0%	1	under 10 labels · led by Teamtailor at 16%

Movement

This is the first edition on this tier, so no move can be computed for Teamdash 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 Teamdash across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

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

Paraphrase3 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative4 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.

“Teamdash has a very easy landing-page builder that allows recruiters to spin up highly tailored pages” Gemini 3.5 Flash · Recruitment marketing · paraphrase 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.

No model argued against it.

Named alongside

The products named in the same answers as Teamdash, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Teamdash was named but was not.

ProductSame answerTook the first choice insteadHead to head

Ashby2 of 40Not in the top three

Breezy HR2 of 40Not in the top three

Lever2 of 40Not in the top three

Cal.com1 of 41Not in the top three

Calendly1 of 41Not in the top three

Pinpoint1 of 41Not in the top three

TalentNest1 of 41Not in the top three

hire.page1 of 41Not in the top three

Byteline1 of 40Not in the top three

GoodTime1 of 40Not 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 Teamdash. 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 2 of the 4 answers that named Teamdash and are not a share of its labels.

Domains cited

forbes.com2

hire.page2

joveo.com2

mokahr.io2

sourcrlab.com2

teamdash.comYour site2

atslab.xyz1

breezy.hr1

compono.com1

erpresearch.com1

Fourteen of the sixteen domain citations in answers naming Teamdash came from somebody else's page.

Pages cited

hire.page/blog/best-career-page-builders-20262

joveo.com/blog/best-career-site-builders2

mokahr.io/articles/en/the-best-career-site-builder2

sourcrlab.com/best/best-career-site-tools2

teamdash.com/career-site-builder2

atslab.xyz/guides/how-to-choose-an-ats-for-hiring-teams-that-need-a-career-site-and-employ1

breezy.hr/mc/capterra1

breezy.hr/pricing1

Pages are listed as the models cited them.

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 Teamdash'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 Teamdash, 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 teamdash.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.