HR AI Index

Index › Vendors › Recognize · September 2026 Edition

1 category · Named, not ranked

Recognize

11Judge labels

0First choices

2Negative labels

7 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

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Recognize was named 4 times in Recognition and rewards, where Bonusly led with 22%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business14 of 47

under the label threshold

Mid-market22 of 55

under the label threshold

Enterprise38 of 54

under the label threshold

In recognition and rewards · 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 Recognize 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
Recognition and rewards	Onboarding and employee experience	0%	22 of 55	25%	4	under 10 labels · led by Bonusly at 22%

Movement

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

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

Direct3 labelsNone

Paraphrase1 labelNone

Comparative1 labelNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative11 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.

“offers recognition, rewards, communications, and employee listening from one provider” Llama 4 Maverick · Recognition and rewards · direct prompt · alternative

“Ideal for teams of 50–1,000 employees with peer-to-peer recognition focus” MiniMax M2.5 · Recognition and rewards · paraphrase prompt · alternative

“Recognize fits organizations centered on Microsoft 365” Claude Haiku 4.5 · Recognition and rewards · comparative 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.

“very low starting price, but simpler than the more polished platforms” GPT-5.4 mini · Recognition and rewards · budget prompt · soft negative

Named alongside

The products named in the same answers as Recognize, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Recognize was named but was not.

ProductSame answerTook the first choice insteadHead to head

Bonusly7 of 113Not in the top three

Nectar6 of 113Not in the top three

Achievers6 of 110Not in the top three

Awardco5 of 112Not in the top three

Guusto4 of 110Not in the top three

Motivosity4 of 110Not in the top three

Matter3 of 111Not in the top three

O.C. Tanner Culture Cloud3 of 111Not in the top three

Workhuman3 of 110Not in the top three

Assembly2 of 110Not 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 Recognize. 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 9 of the 11 answers that named Recognize and are not a share of its labels.

Domains cited

achievers.com5

workhuman.com5

awardco.com4

g2.com4

blackthorn-vision.com3

crewhu.com3

gartner.com3

peoplemanagingpeople.com3

selectsoftwarereviews.com3

tremendous.com3

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

Pages cited

awardco.com/blog/best-employee-recognition-software3

blackthorn-vision.com/blog/top-10-employee-recognition-software3

crewhu.com/blog/employee-recognition-software3

gartner.com/reviews/market/employee-recognition-and-reward-systems3

selectsoftwarereviews.com/buyer-guide/employee-recognition-software3

tremendous.com/blog/best-employee-recognition-platforms3

workhuman.com/blog/employee-recognition-software3

achievers.com/blog/employee-recognition-platforms2

Pages are listed as the models cited them.

Names read as Recognize

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

RecognizeApp 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 Recognize'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 Recognize, 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 recognizeapp.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.