HR AI Index
Index Vendors › Nectar · September 2026 Edition
1 category · Ranked

Nectar

107Judge labels
12First choices
13Negative labels
12 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.
Best standing
22% in Recognition and rewards for mid-market buyers
Rank 2 of 55 in the mid-market standingaccepted challenger
7 of 12 models made it the first choice on the direct prompt; 0% of its 41 labels there were negative.
By buyer segmentStrongest at mid-market.
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 Nectar 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
Recognition and rewardsOnboarding and employee experience22%2 of 550%41accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Nectar 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 Nectar across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.512003
GPT-5.4 mini10001
Gemini 3.5 Flash14106
Perplexity Sonar11103
Grok 4.1 Fast04105
Mistral Small11103
DeepSeek V4 Flash13105
Llama 4 Maverick10102
Qwen 3.7 Flash10203
Kimi K204105
GLM 4.7 FlashX12003
MiniMax M2.501102

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
Direct20 labels8
Paraphrase12 labels1
Comparative33 labels3not counted in share
Budget-constrained22 labels3
Scale-constrained9 labelsNone
Negative11 labelsNone
First choiceAlternativeMentionNegative107 labels in all, every segment counted; 12 of the 15 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.

“Nectar - offers mid-market recognition with broader culture tools, including peer, manager, milestones, custom awards, and configured Flows, priced at $5-$6 per employee/month” Llama 4 Maverick · Recognition and rewards · direct prompt · first choice
“Nectar - A strong fit for mid-sized companies looking to formalize their employee recognition programs” Claude Haiku 4.5 · Recognition and rewards · direct prompt · first choice
“Nectar and Motivosity are frequently cited as top choices due to their focus on mid-market needs” Mistral Small · Recognition and rewards · direct prompt · first choice
“Workhuman and Nectar are strong all-rounders with strong analytics and ease of use” GLM 4.7 FlashX · Recognition and rewards · direct prompt · first choice

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.

No model argued against it.

Named alongside

The products named in the same answers as Nectar, over the 107 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Nectar was named but was not.
ProductSame answerTook the first choice insteadHead to head
Awardco63 of 1078Not in the top three
Motivosity59 of 1073Not in the top three
Guusto52 of 1074Not in the top three
Kudos41 of 1070Not in the top three
Achievers37 of 1076Not in the top three
Workhuman37 of 1075Not in the top three
Assembly29 of 1073Not in the top three
O.C. Tanner Culture Cloud17 of 1074Not 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 Nectar. 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 93 of the 107 answers that named Nectar and are not a share of its labels.

Domains cited

selectsoftwarereviews.com69
workhuman.com64
tremendous.com55
peoplemanagingpeople.com50
achievers.com47
g2.com43
gartner.com39
awardco.com36
crewhu.com30
learn.g2.com30

463 of the 463 domain citations in answers naming Nectar 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 Nectar'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 Nectar, 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 nectar.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.