HR AI Index
Index Vendors › Humanly · September 2026 Edition
2 categories · Ranked

Humanly

18Judge labels
0First choices
2Negative labels
10 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
0% in AI recruiting assistants for mid-market buyers
Rank 25 of 84 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 12% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In ai recruiting assistants · 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 Humanly 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 rateLabelsQuadrant
AI recruiting assistantsTalent acquisition0%25 of 8412%8under 10 labels · led by GoPerfect at 19%
Recruiting CRM and sourcingTalent acquisition0%42 of 8820%5under 10 labels · led by Lever at 20%

Movement

This is the first edition on this tier, so no move can be computed for Humanly 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 Humanly across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00101
Gemini 3.5 Flash01001
Perplexity Sonar00101
Grok 4.1 Fast00101
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick01203
Qwen 3.7 Flash00011
Kimi K200112
GLM 4.7 FlashX01001
MiniMax M2.500101

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
Direct4 labelsNone
Paraphrase0 labelsNone
Comparative11 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative1 labelNone
First choiceAlternativeMentionNegative18 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.

“Conversational AI screening | High-volume inbound and outbound” GLM 4.7 FlashX · AI recruiting assistants · comparative prompt · alternative
“Other options include Humanly, TheHireHub.AI, and Lever” Llama 4 Maverick · AI recruiting assistants · direct prompt · alternative
“Humanly is a premier solution.” Gemini 3.5 Flash · AI recruiting assistants · 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.

“Proceed with caution and demand full audits of their algorithms.” Qwen 3.7 Flash · AI recruiting assistants · negative prompt · soft negative
“Focuses on middle-funnel conversion, not top-of-funnel sourcing” Kimi K2 · Recruiting CRM · comparative prompt · soft negative

Named alongside

The products named in the same answers as Humanly, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Humanly was named but was not.
ProductSame answerTook the first choice insteadHead to head
Gem14 of 183Not in the top three
SeekOut11 of 181Not in the top three
Juicebox11 of 180Not in the top three
hireEZ11 of 180Not in the top three
Manatal9 of 180Not in the top three
Loxo5 of 181Not in the top three
Eightfold AI5 of 180Not in the top three
Greenhouse5 of 180Not in the top three
HireVue5 of 180Not in the top three
LinkedIn Recruiter5 of 180Not 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 Humanly. 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 16 of the 18 answers that named Humanly and are not a share of its labels.

Domains cited

selectsoftwarereviews.com10
juicebox.ai7
leonar.app7
greenhouse.com6
metaview.ai6
hiretruffle.com5
lever.co5
firsthr.app4
guideflow.com4
matchr.io4

Fifty-eight of the fifty-eight domain citations in answers naming Humanly came from somebody else's page.

Pages cited

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 Humanly'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 Humanly, 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 humanly.io 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.