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Index › Products › Mercor · October 2026 Edition
2 categories · Named, not ranked

Mercor

7Judge labels
0First choices
7Negative labels
4 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Mercor was named 3 times in Video interviewing and 1 other category, where Spark Hire led with 50%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In video interviewing · 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 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Video interviewingTalent acquisition0%66 of 66100%2under 10 labels · led by Spark Hire at 50%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
Job advertising and distributionTalent acquisition0%95 of 111100%1under 10 labels · led by JobTarget at 23%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Mercor held within the floor in all two categories: no change cleared 13 points.

Best category · Video interviewing · by segment

Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 40 → 61 of 63
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 44 → 35 of 38

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Video interviewing0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 40 → 66 of 66
Job advertising0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 90 → 95 of 111

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Mercor across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00022
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00011

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
Negative7 labelsNone
First choiceAlternativeMentionNegative7 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.

“supply-chain compromise ... exposed the recorded interviews and facial biometric data of roughly 40,000 people” Muse Glimmer 30B · Video interviewing · negative prompt · hard negative
“Often called "resume black holes"... Low ROI, suspected fake listings.” Grok 4.1 Fast · Job advertising · negative prompt · hard negative
“Mercor (Avoid if Possible)” Grok 4.1 Fast · Video interviewing · negative prompt · hard negative

Named alongside

The products named in the same answers as Mercor, over the 7 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.
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ProductSame answerTook the first choice insteadHead to head
HireVue4 of 70Not among the top eight
Spark Hire2 of 71Not among the top eight
Craigslist2 of 70Not among the top eight
Fiverr2 of 70Not among the top eight
Freelancer.com2 of 70Not among the top eight
Upwork2 of 70Not among the top eight
VidCruiter2 of 70Not among the top eight
Zoom2 of 70Not among the top eight
Hireflix1 of 71Not among the top eight
Willo1 of 71Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 7 of the 7 answers that named Mercor and are not a share of its labels.

Domains cited

linkedin.com6
peoplemanagingpeople.com4
hiringmanager.net3
hr-ai-index.com3
learn.g2.com3
shrm.org3
softwareadvice.com3
aceround.app2
awesomic.com2
databreach.com2

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

Pages cited

Pages are listed as the models cited them.

What it publishes

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Addresses on mercor.com
274
subdomains included
Content
129
counted in the table below
Documentation
5
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog101undated
News or press12undated
Glossary or explainer10undated
Comparison4undated
Case study1undated
Conference or event1undated
How it is countedHide how it is counted

Every page mercor.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Follow Mercor

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Mercor is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
organizing human intelligence to power the AI economy
For
the top AI labs and enterprises
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting, customers

What Mercor's own pages state, read October 6, 2026: mercor.com, trust.mercor.com. A claimed page can correct any of 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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Mercor by email, built from the raw record of the edition. It shows:

  • where Mercor is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Mercor, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at mercor.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.