Every category where a model named Mercor 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
Video interviewing	Talent acquisition	0%	40 of 40	100%	4	under 10 labels · led by Spark Hire at 55%
Employee onboarding	Onboarding and employee experience	0%	102 of 104	100%	2	under 10 labels · led by BambooHR at 29%
Background screening	Talent acquisition	0%	40 of 59	100%	1	under 10 labels · led by Checkr at 43%
Interview scheduling	Talent acquisition	0%	71 of 72	100%	1	under 10 labels · led by Calendly at 21%
Job advertising and distribution	Talent acquisition	0%	92 of 109	100%	1	under 10 labels · led by JobTarget at 21%
Skills intelligence	Performance and talent management	0%	95 of 162	0%	1	under 10 labels · led by TalentGuard at 19%

Movement

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

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

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative12 labelsNone

First choiceAlternativeMentionNegative12 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.

No positive label carried a quote.

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.

“An AI recruiting and onboarding platform that experienced a significant data breach in March 2026. Multiple class action lawsuits have been filed” MiniMax M2.5 · Employee onboarding · negative prompt · hard negative

“High – Avoid if possible | AI-labor platforms (Mercor, Apriora) | Recent 4TB data breach, biometric data collection, banking info storage” DeepSeek V4 Flash · Video interviewing · negative prompt · hard negative

“A March 2026 data breach at Mercor (an AI recruiting platform) exposed ~4TB of candidate data, highlighting risks in this category.” Kimi K2 · Interview scheduling · negative prompt · hard negative

“In April 2026, Mercor suffered a breach exposing recorded interviews, onboarding videos, tax documents, and personal IDs” DeepSeek V4 Flash · Employee onboarding · negative prompt · hard negative

Named alongside

The products named in the same answers as Mercor, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mercor was named but was not.

ProductSame answerTook the first choice insteadHead to head

HireVue5 of 120Not in the top three

Apriora2 of 120Not in the top three

Deel2 of 120Not in the top three

Ribbon2 of 120Not in the top three

Hireflix1 of 121Not in the top three

Hirevire1 of 121Not in the top three

Truffle1 of 121Not in the top three

Velocity Global1 of 121Not in the top three

Willo1 of 121Not in the top three

ADP1 of 120Not 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 Mercor. 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 11 of the 12 answers that named Mercor and are not a share of its labels.

Domains cited

reddit.com6

aceround.app5

hallattorneys.com5

linkedin.com5

screeninghive.com5

hirevire.com4

startupkit.app4

trustpilot.com4

classactionu.org3

cnbc.com3

Forty-four of the forty-four domain citations in answers naming Mercor came from somebody else's page.

Pages cited

aceround.app/blog/do-ai-interviews-record-you5

hallattorneys.com/mercor-data-breach5

screeninghive.com/blog/video-interview-platform-security-checklist5

classactionu.org/our-news/hirevue-agrees-to-3-75-million-class-action-settlement-over-alle3

cnbc.com/2026/09/15/job-seekers-refusing-ai-interviews-blacklisting-employers.html3

hirevire.com/blog/best-gdpr-compliant-video-interview-software-tools3

startupkit.app/en/blog/recruiting-platform-data-breach-candidate-pii-security3

classaction.org/news/video-screening-co-hirevue-illegally-collected-illinois-job-applicant2

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 Mercor'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 Mercor, 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 mercor.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.