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Recognition and rewards · September 2026 Edition

Motivosity vs Guusto

One of twelve models named Motivosity first on the direct prompt; zero named Guusto. Both were named by all twelve models and Motivosity carries 39 labels and Guusto 23, so the shares are not directly comparable.

Motivosity

accepted challenger

Named in four categories this edition.

Guusto

accepted challenger

Named in two categories this edition.

First-choice share7%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 12; printed, not drawn.
Labels3923A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Motivosity reading right to left. Rank and label count are printed, not drawn.Nectar was named alongside these two in eleven of the twelve direct answers. Bonusly vs Motivosity · Bonusly vs Guusto · Nectar vs Motivosity

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the recognition and rewards page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
MotivosityFirst choices, of twelve modelsGuusto
Direct10
Paraphrase20
Comparative20
Budget-constrained021 against Motivosity
Scale-constrained00
Negative001 against Motivosity
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Motivosity and Guusto were named in the same answer thirty-two times, of the 101 answers naming Motivosity and the 64 naming Guusto. In those answers Guusto took the first choice one time and Motivosity two.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Motivosity and Guusto stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Motivosity Guusto first choice named as an alternative argued againstblank: not namedEach cell is one answer, Motivosity on the left and Guusto on the right.

The direct prompt

The plain question, one answer per model, grouped by where Motivosity and Guusto stood in it.

Motivosity first, Guusto not the choice

1 of 12 modelsGuusto was named in the answer but not as the choice, or not at all.
Mistral SmallMotivosity, Nectar alternatives: Snappy, Workhuman

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Nectar alternatives: Achievers, Awardco, Bonusly, Motivosity
GPT-5.4 miniBonusly alternatives: Achievers, Awardco, Motivosity, Workhuman
Llama 4 MaverickNectar alternatives: Motivosity, Recognize
Kimi K2Bonusly alternatives: Awardco, Motivosity, Nectar, WorkTango

Neither was named

7 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashBonusly alternatives: Awardco, Nectar, WorkTango
Perplexity SonarNectar alternatives: Achievers
Grok 4.1 FastAwardco alternatives: Bonusly, Nectar
DeepSeek V4 FlashNectar alternatives: Bonusly, Workhuman
Qwen 3.7 FlashNectar alternatives: Achievers, Bonusly, Tremendous
GLM 4.7 FlashXNectar, Workhuman alternatives: Achievers, Bonusly, Vantage Circle
MiniMax M2.5Achievers alternatives: Awardco, Bonusly, Nectar, Workhuman

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Guusto leads by seven points.
Guusto7%#4 of 8
Motivosity0%#8 of 8
The full small business standing →
Mid-marketThe figures above
The order flips: Motivosity leads at mid-market.
Motivosity7%#4 of 12
Guusto5%#7 of 12
The full mid-market standing →
Enterprise
Motivosity leads by two points.
Motivosity2%#4 of 10
Guusto0%#– of 10
The full enterprise standing →

What the models said about Motivosity

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“Motivosity ($3,000 min.)—too pricey for small budgets” Grok 4.1 Fast · budget prompt · hard negative
“Poor mobile app or navigation: Issues in Motivosity (hard to use)” Grok 4.1 Fast · negative prompt · soft negative
“Motivosity: Often rated best for overall engagement and measuring impact through data.” Qwen 3.7 Flash · comparative prompt · first choice
“If you want one recommendation without more context: Motivosity.” GPT-5.4 mini · paraphrase prompt · first choice
“1. Motivosity - Best for engagement & impact measurement.” Grok 4.1 Fast · comparative prompt · first choice

What the models said about Guusto

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Matter (free, Slack/Teams‑native) and Guusto (free, real‑reward capability) are the safest bets to start” GLM 4.7 FlashX · budget prompt · first choice
“Guusto (Best for Reward Gifting) ... Free Plan ($0/month subscription fee for unlimited users)” Gemini 3.5 Flash · budget prompt · first choice
“Some popular recognition platforms to consider include Motivosity, Bonusly, and Guusto, which publish transparent pricing” Llama 4 Maverick · negative prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.