Index › Onboarding and employee experience › September 2026 Edition

Recognition and rewards

Asked as “employee recognition platform”, and as “employee rewards program software”, on behalf of a mid-market B2B company. 41 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.

Standing

Bonusly and Nectar

Contested

22% of first choices, contested.

ShowinginAll 50 categories in the September 2026 Edition →

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

Small business

Bonusly60%Clear leaderStanding →Mid-market

Bonusly22%ContestedThis page Enterprise

Achievers38%ContestedStanding →

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for a mid-market B2B company. Ordered by share.

ProductFirst-choice shareNegative rateLabelsQuadrant

Bonusly2%48accepted challenger

Nectar0%41accepted challenger

Matter0%15accepted challenger

Motivosity5%39accepted challenger

Awardco8%39accepted challenger

Bucketlist Rewards0%10accepted challenger

Guusto0%23accepted challenger

Achievers22%27accepted challenger

Workhuman22%27accepted challenger

Show the three products at 0%, ordered by negative rate

Kudos14%22accepted challenger

Assembly0%10accepted challenger

WorkTango0%10accepted challenger

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.

Head to head

Bonusly vs Nectar Bonusly vs Matter Nectar vs Matter

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default

Negative label rate →

Accepted challengerEndorsed leader

0%First-choice share → · lines at 30% share and 25% negative40%

Key

Bonusly22%

Nectar22%

Matter15%

Motivosity7%

Awardco7%

Bucketlist Rewards7%

Guusto5%

Achievers5%

Workhuman2%

Kudos0%

Assembly0%

WorkTango0%

02What they warned about

Two of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.

Achievers

22%

6 of 27 labels negative · 5 of 12 models

“Limited points/rewards budgets: Frequent complaints (e.g., in Motivosity, Kudos, Achievers)... custom reports delayed in others like Achievers.” Grok 4.1 Fast, negative prompt

Workhuman

22%

6 of 27 labels negative · 5 of 12 models

“exercise caution with **Awardco / Achievers / Workhuman / Kudos** on catalog quality, hidden module costs, and pricing opacity” DeepSeek V4 Flash, negative prompt

O.C. Tanner Culture Cloud

33%

3 of 9 labels negative · 3 of 12 models · 1 hard negative

“Beware most of **O.C. Tanner**” DeepSeek V4 Flash, negative prompt

Kudos

14%

3 of 22 labels negative · 3 of 12 models

“Pricing is not transparent; professional services and integration fees can be high ($10K–$50K+)” Mistral Small, negative prompt

03What they cite

Citations exist only for the models that return a source list: twelve of the twelve in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

64 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 6 of those lists are Google grounding redirects that name no site and are left out of the counts. 748 links across 176 sites, every framing counted. Ranked by the number of answers carrying the site or page.

workhuman.com

vendor site · Workhuman35 answers · 43 citations · 11 models

achievers.com

vendor site · Achievers33 answers · 53 citations · 10 models

selectsoftwarereviews.com

vendor site · Select Software Reviews33 answers · 35 citations · 10 models

tremendous.com

vendor site · Tremendous30 answers · 30 citations · 10 models

peoplemanagingpeople.com

vendor site · People Managing People26 answers · 30 citations · 10 models

awardco.com

vendor site · Awardco22 answers · 26 citations · 9 models

gartner.com

vendor site · Gartner22 answers · 22 citations · 9 models

bystadium.com

18 answers · 19 citations · 9 models

crewhu.com

vendor site · Crewhu18 answers · 18 citations · 8 models

g2.com

15 answers · 38 citations · 7 models

motivosity.com

vendor site · Motivosity14 answers · 19 citations · 7 models

learn.g2.com

14 answers · 15 citations · 6 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

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

30 answers · 10 models

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

30 answers · 10 models

workhuman.com/blog/employee-recognition-software

25 answers · 8 models

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

22 answers · 9 models

peoplemanagingpeople.com/tools/best-employee-recognition-platform

22 answers · 10 models

achievers.com/blog/employee-recognition-software-mid-sized-companies

20 answers · 10 models

crewhu.com/blog/employee-recognition-software

18 answers · 8 models

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

16 answers · 8 models

bystadium.com/blog/best-employee-recognition-platforms

14 answers · 8 models

achievers.com/blog/employee-recognition-platforms

13 answers · 6 models

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.

ModelDirect“What is the best employee recognition platform for a mid-market B2B company?”Paraphrase“Which employee rewards program software would you recommend to a mid-sized B2B company?”Comparative“What are the top recognition platforms and how do they differ?”Budget-constrained“What is the best employee recognition platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an employee recognition platform. What should we look at?”Negative“Which recognition platforms should I avoid or be cautious about?”

Claude Haiku 4.5Nectar

Four alternatives

Achievers, Awardco, Bonusly, Motivosity

Bucketlist RewardsChanged

Three alternatives

Awardco, Bonusly, Nectar

Crewhu

Six alternatives

Achievers, Awardco, Bonusly, Connecteam, Guusto, Recognize

Qarrot

Four alternatives

Bonusly, Guusto, Nectar, Workstars

no first choicenothing named

GPT-5.4 miniBonusly

Four alternatives

Achievers, Awardco, Motivosity, Workhuman

MotivosityChanged

Three alternatives

Awardco, Bonusly, Workhuman

no first choiceNectar

Two alternatives

Guusto, Matter

against: Recognizeno first choicenothing named

Gemini 3.5 FlashBonusly

Three alternatives

Awardco, Nectar, WorkTango

AwardcoChanged

Three alternatives

Bonusly, Motivosity, Nectar

Awardco

Four alternatives

Bonusly, Motivosity, Nectar, Teamflect

against: Achievers, O.C. Tanner Culture Cloud, WorkhumanGuusto, Nectar

Three alternatives

Bonusly, Kudos, Matter

no first choice

Five alternatives

Awardco, Bonusly, Motivosity, Nectar, Teamflect

against: ADP, Workday

Perplexity SonarNectar

One alternative

Achievers

against: WorkhumanAchieversChanged

Two alternatives

Matter, Vantage Circle

no first choiceBonusly

Three alternatives

Applauz, Assembly, Nectar

no first choicenothing named

Grok 4.1 FastAwardco

Two alternatives

Bonusly, Nectar

against: AchieversAwardcoHeld

Four alternatives

Bonusly, Bucketlist Rewards, Motivosity, Nectar

Motivosity

Nine alternatives

Achievers, Assembly, Awardco, Bonusly, Guusto, Kudos, Nectar, O.C. Tanner Culture Cloud, Workhuman

Matter

Three alternatives

Assembly, Bonusly, Guusto

against: Awardco, Motivosityno first choiceagainst: Achievers, Kudos, Motivosity, Workhuman

Mistral SmallMotivosity, Nectar

Two alternatives

Snappy, Workhuman

Bucketlist RewardsChanged

Three alternatives

Awardco, Blueboard, Matter

no first choiceBonusly, Matter

Two alternatives

Assembly, Nectar

no first choiceagainst: Achievers, Bonusly, Kudos, Workhuman

DeepSeek V4 FlashNectar

Two alternatives

Bonusly, Workhuman

BonuslyChanged

Four alternatives

Awardco, Matter, Motivosity, Nectar

no first choice

Eight alternatives

Achievers, Awardco, Bonusly, Guusto, Motivosity, Nectar, O.C. Tanner Culture Cloud, Workhuman

Bonusly

Four alternatives

Guusto, HubEngage, Motivosity, Nectar

against: Awardcono first choiceagainst: Workhumanagainst: Achievers, Awardco, Kudos, O.C. Tanner Culture Cloud, Workhuman

Llama 4 MaverickNectar

Two alternatives

Motivosity, Recognize

Bucketlist RewardsChanged

Two alternatives

Achievers, Matter

no first choiceno first choiceno first choiceagainst: DeepFace

Qwen 3.7 FlashNectar

Three alternatives

Achievers, Bonusly, Tremendous

MotivosityChanged

Four alternatives

Blueboard, Bonusly, Matter, Snappy

Motivosity

Six alternatives

Assembly, Awardco, Guusto, Kudos, O.C. Tanner Culture Cloud, Workhuman

Bonfire

Three alternatives

Bonusly, Donut, Lattice

no first choicenothing named

Kimi K2Bonusly

Four alternatives

Awardco, Motivosity, Nectar, WorkTango

BonuslyHeld

Three alternatives

Awardco, Motivosity, Nectar

against: Achievers, O.C. Tanner Culture CloudWorkhuman

Five alternatives

Awardco, Bonusly, Guusto, Kudos, Nectar

Matter

Three alternatives

Guusto, Nectar, Wrenly

no first choice

Three alternatives

Awardco, Kudos, Motivosity

against: BioStar 2, Clearview AI, WorkComposer

GLM 4.7 FlashXNectar, Workhuman

Three alternatives

Achievers, Bonusly, Vantage Circle

Vantage CircleChanged

Two alternatives

Bonusly, Cooleaf

no first choice

Ten alternatives

Achievers, Bonusly, Crewhu, Guusto, Kudos, Matter, Motivosity, Nectar, O.C. Tanner Culture Cloud, Workhuman

Guusto, Matter

Six alternatives

Bonusly, Bucketlist Rewards, Connecteam, Nectar, Teamflect, Tremendous

no first choicenothing named

MiniMax M2.5Achievers

Four alternatives

Awardco, Bonusly, Nectar, Workhuman

Bonusly, MatterChanged

Four alternatives

Achievers, Motivosity, Qarrot, Recognize

no first choiceMatter

Three alternatives

Assembly, Bonusly, HeyTaco

no first choiceagainst: Clearview AI, FaceCheck ID

Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record

Seventy-two rows: every prompt, every model, every answer.

Prompt	Model	Version string	Time (UTC)	Searched	Sources	Latency
Direct recommendation	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 21:32	yes	10	7 s
Direct recommendation	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 18:47	yes	2	6 s
Direct recommendation	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 19:36	yes	13	23 s
Direct recommendation	Perplexity Sonar	`sonar`	2026-09-17 21:33	yes	20	8 s
Direct recommendation	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 19:21	yes	30	19 s
Direct recommendation	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 18:35	yes	5	4 s
Direct recommendation	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 21:00	yes	8	11 s
Direct recommendation	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 20:49	yes	5	3 s
Direct recommendation	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 19:11	yes	5	42 s
Direct recommendation	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 21:23	yes	13	33 s
Direct recommendation	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 21:45	yes	12	63 s
Direct recommendation	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 18:39	yes	16	34 s
Paraphrase	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 17:54	yes	18	10 s
Paraphrase	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 20:56	yes	4	7 s
Paraphrase	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 19:33	yes	12	24 s
Paraphrase	Perplexity Sonar	`sonar`	2026-09-17 20:08	yes	20	7 s
Paraphrase	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 18:20	yes	30	15 s
Paraphrase	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 19:46	yes	5	4 s
Paraphrase	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 20:36	yes	18	18 s
Paraphrase	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 20:37	yes	5	3 s
Paraphrase	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 20:32	yes	9	25 s
Paraphrase	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 21:15	yes	9	18 s
Paraphrase	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 19:57	yes	24	101 s
Paraphrase	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 19:03	yes	8	21 s
Comparative	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 21:02	yes	9	8 s
Comparative	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 17:55	yes	3	11 s
Comparative	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 18:13	yes	14	22 s
Comparative	Perplexity Sonar	`sonar`	2026-09-17 20:48	yes	20	8 s
Comparative	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 21:24	yes	25	17 s
Comparative	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 20:10	yes	5	6 s
Comparative	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 21:28	yes	16	20 s
Comparative	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 20:10	yes	5	3 s
Comparative	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 18:03	yes	10	22 s
Comparative	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 17:57	yes	10	25 s
Comparative	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 18:58	yes	10	41 s
Comparative	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 18:27	yes	5	26 s
Budget constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 18:49	yes	9	9 s
Budget constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 20:39	yes	3	5 s
Budget constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 20:12	yes	10	18 s
Budget constrained	Perplexity Sonar	`sonar`	2026-09-17 21:30	yes	20	4 s
Budget constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 20:51	yes	19	16 s
Budget constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 18:00	yes	5	5 s
Budget constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 21:24	yes	9	10 s
Budget constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 20:00	yes	5	3 s
Budget constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 18:44	no	0	29 s
Budget constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 19:10	yes	10	21 s
Budget constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 19:52	yes	14	38 s
Budget constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 21:34	yes	10	26 s
Scale constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 19:40	no	0	7 s
Scale constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 20:39	no	0	9 s
Scale constrained	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 21:56	yes	9	51 s
Scale constrained	Perplexity Sonar	`sonar`	2026-09-17 19:55	yes	20	8 s
Scale constrained	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 20:32	yes	17	12 s
Scale constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 18:01	no	0	5 s
Scale constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 20:49	yes	14	18 s
Scale constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 21:28	yes	7	4 s
Scale constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 21:30	yes	12	24 s
Scale constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 18:31	yes	10	24 s
Scale constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 20:28	yes	14	56 s
Scale constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 19:08	no	0	39 s
Negative framing	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-09-17 20:41	no	0	2 s
Negative framing	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-09-17 20:14	no	0	4 s
Negative framing	Gemini 3.5 Flash	`gemini-3.5-flash`	2026-09-17 18:52	yes	16	24 s
Negative framing	Perplexity Sonar	`sonar`	2026-09-17 18:20	yes	20	6 s
Negative framing	Grok 4.1 Fast	`spacexai/grok-4.1-fast-non-reasoning via vertex`	2026-09-17 18:59	yes	37	14 s
Negative framing	Mistral Small	`mistral/mistral-small via mistral`	2026-09-17 20:19	yes	5	6 s
Negative framing	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via fireworks`	2026-09-17 19:16	yes	26	31 s
Negative framing	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-09-17 19:53	yes	9	5 s
Negative framing	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-09-17 19:46	no	0	33 s
Negative framing	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-09-17 19:30	yes	25	63 s
Negative framing	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-09-17 18:28	yes	29	104 s
Negative framing	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-09-17 20:57	yes	5	23 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings

Bucketlist read as Bucketlist Rewards

O.C. Tanner read as O.C. Tanner Culture Cloud

O.C. Tanner (Culture Cloud) read as O.C. Tanner Culture Cloud

Unresolved, counted raw

BioStar 2

CarltonOne

DeepFace

FaceCheck ID

Microsoft Praise

Workstars

Wrenly

Xoxoday

Discontinued, still offered

No shut-down product was recommended here.

Recognition and rewards

By buyer segment

01The standing

Recommended versus criticized

02What they warned about

03What they cite

Sites the answers cite

Pages the answers cite

04How they answered

05The record

Normalization in this category

Also in onboarding and employee experience