Every category where a model named Harver 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
Candidate assessment	Talent acquisition	0%	15 of 101	9%	11	accepted challenger
Video interviewing	Talent acquisition	0%	31 of 40	50%	4	under 10 labels · led by Spark Hire at 55%
Skills intelligence	Performance and talent management	0%	57 of 162	0%	2	under 10 labels · led by TalentGuard at 19%
AI recruiting assistants	Talent acquisition	0%	73 of 84	100%	1	under 10 labels · led by GoPerfect at 19%

Movement

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

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	2	1	3
Perplexity Sonar	0	1	0	1
Grok 4.1 Fast	1	1	0	2
Mistral Small	0	0	0	0
DeepSeek V4 Flash	1	2	1	4
Llama 4 Maverick	0	2	0	2
Qwen 3.7 Flash	1	0	1	2
Kimi K2	1	0	1	2
GLM 4.7 FlashX	1	0	0	1
MiniMax M2.5	0	1	0	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

Direct11 labels1

Paraphrase6 labelsNone

Comparative11 labelsNone

Budget-constrained9 labels1

Scale-constrained10 labelsNone

Negative8 labelsNone

First choiceAlternativeMentionNegative55 labels in all, every segment counted; 2 of the 2 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.

“Choose Harver if: You need to hire hundreds or thousands of frontline employees quickly” Qwen 3.7 Flash · Candidate assessment · comparative prompt · alternative

“High-volume frontline/ops hiring → Harver or Sova” DeepSeek V4 Flash · Candidate assessment · paraphrase prompt · alternative

“Best for: High-Volume Enterprise Hiring” Kimi K2 · Candidate assessment · comparative prompt · alternative

“Best for Volume Hiring: Harver” GLM 4.7 FlashX · Candidate assessment · direct 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.

“Avoid enterprise-only solutions (like Harver) unless you have truly massive hiring volume, as they're likely overkill and overpriced for 500 employees.” Kimi K2 · Candidate assessment · scale prompt · hard negative

“Avoid tools like HireVue or Harver unless you are managing extremely high-volume, enterprise-scale recruitment campaigns” Gemini 3.5 Flash · Video interviewing · paraphrase prompt · soft negative

“Tools like some iterations of *Harver* or *Graphology* tests ... frequently criticized for lacking psychometric validity” DeepSeek V4 Flash · AI recruiting assistants · negative prompt · soft negative

“Not suitable for professional/white-collar roles; requires long implementation times; steep learning curve.” Qwen 3.7 Flash · Video interviewing · comparative prompt · soft negative

Named alongside

The products named in the same answers as Harver, over the 54 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Harver was named but was not.

ProductSame answerTook the first choice insteadHead to head

TestGorilla31 of 548Not in the top three

Criteria Corp31 of 544Not in the top three

HireVue25 of 541Not in the top three

HackerRank19 of 540Not in the top three

SHL18 of 549Not in the top three

iMocha17 of 541Not in the top three

The Predictive Index15 of 542Not in the top three

Codility15 of 540Not in the top three

Vervoe13 of 542Not in the top three

Bryq8 of 543Not 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 Harver. 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 43 of the 54 answers that named Harver and are not a share of its labels.

Domains cited

testlify.com23

bestrecruitingtools.com21

jobcannon.io17

bryq.com16

g2.com16

aihr.com14

pin.com14

testgorilla.com14

selectsoftwarereviews.com13

capterra.com11

159 of the 159 domain citations in answers naming Harver came from somebody else's page.

Pages cited

bestrecruitingtools.com/blog/best-pre-employment-assessment-software-enterprise-202619

jobcannon.io/compare/best-pre-employment-assessments17

aihr.com/blog/top-pre-employment-assessment-tools14

testlify.com/top-10-pre-hire-assessment-platforms-for-enterprises14

bryq.com/blog/best-talent-assessment-platforms-202613

pin.com/blog/pre-employment-assessment-tools13

testlify.com/guide-to-choose-the-best-talent-assessment-software10

peoplemanagingpeople.com/tools/best-pre-employment-testing-software8

Pages are listed as the models cited them.

Names read as Harver

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

Vervoe / Harver 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 Harver'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 Harver, 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 harver.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.