Small business=heldSince September 2026: 9% → 9%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
9%from 9% in September 2026
Inside the floor by 13 pointsRank 2 → 4 of 50
2 categories · RankedMatter
46Judge labels
11First choices
2Negative labels
14 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
10% in Recognition and rewards for small business buyers
Rank 4 of 98 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business2 of 52
10%25 labels
accepted challenger
Mid-market4 of 98
10%9 labels
under the label threshold
Enterprise40 of 48
0%4 labels
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 Matter 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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Recognition and rewards | Onboarding and employee experience | 10% | 4 of 98 | 0% | 9 | under 10 labels · led by Bonusly at 29% | ▼−3Since September 2026: 15% → 12%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Employee engagement surveys | Onboarding and employee experience | 0% | 48 of 58 | 0% | 1 | under 10 labels · led by Culture Amp at 37% | ▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Matter held within the floor in all two categories: no change cleared 13 points.
Best category · Recognition and rewards · by segment
Mid-market▼−3Since September 2026: 15% → 12%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
12%from 15% in September 2026
Inside the floor by 10 pointsRank 3 → 4 of 87
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 42 → 27 of 46
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Employee engagement surv | 4% | 0% | ▼−4Since September 2026: 4% → 0%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 48 of 58 |
| Recognition and rewards | 15% | 12% | ▼−3Since September 2026: 15% → 12%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 4 of 98 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Matter across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Matter across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 1 | 0 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 2 | 0 | 1 | 0 | 3 |
| Llama 4 Maverick | 1 | 0 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 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
Direct8 labelsNone
Paraphrase1 label1
Comparative12 labels3not counted in share
Budget-constrained14 labels9
Scale-constrained7 labels1
Negative4 labelsNone
First choiceAlternativeMentionNegative46 labels in all, every segment counted; 11 of the 14 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.
“Matter is an employee recognition app built to work directly within Slack and Microsoft Teams... It offers a free plan with unlimited recognition” Claude Haiku 4.5 · Recognition and rewards · budget prompt · first choice
“1. Matter - Best for small and midsize teams that want recognition to happen inside Slack or Microsoft Teams.” Llama 4 Maverick · Recognition and rewards · paraphrase prompt · first choice
“Start with Matter - it offers the most generous free tier (unlimited users)” GLM 4.7 FlashX · Recognition and rewards · budget prompt · first choice
“If everyone lives in Slack/Teams, Matter is the frictionless choice.” DeepSeek V4 Flash · Recognition and rewards · comparative 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 Matter, over the 46 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Matter was named but was not.ShowHide
Named alongside
The products named in the same answers as Matter, over the 46 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Matter was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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 Matter. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 46 of the 46 answers that named Matter and are not a share of its labels.
Domains cited
matterapp.comYour site27
peoplemanagingpeople.com27
engagedly.com26
workhuman.com26
selectsoftwarereviews.com24
tremendous.com24
g2.com19
thrivesparrow.com17
awardco.com15
firsthr.app15
193 of the 220 domain citations in answers naming Matter came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
matterapp.com ranks first on Google for the category's searches. In the answers, Matter takes 10% of first choices and Bonusly takes 29%.ShowHide
Search and answers
matterapp.com ranks first on Google for the category's searches. In the answers, Matter takes 10% of first choices and Bonusly takes 29%.
ShowHideIn search
Google, US estimatesPosition for “recognition platforms”
1
Position for “employee recognition platform”
–
not in the top ten
- Searches for its name, Google
- 90,500 a month (“matter”)
- AI search demand for its name, est.
- 151,595 a month
- Organic visits to its site
- about 21,353 a month
- Searches its site ranks for
- 9,423 · 85 in the top three
- Sites linking to it
- 2,064
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
10%
rank 4 of 98 in recognition and rewards
Segment leader
29%
Bonusly
- First choices
- 11 across its categories
- Named in
- 46 answers
- Its own site cited
- in 46 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on matterapp.com
1,153
subdomains included
Content
755
counted in the table below
Documentation
231
Product · Integration
26 · 22
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 612 | 9 | 2026-09-07 | Performance management, 360 feedback | |
| Comparison | 100 | 59 | 2026-09-03 | ||
| Case study | 20 | 17 | 2026-08-27 | ||
| Glossary or explainer | 17 | 0 | 2026-06-12 | 360 feedback, Performance management | |
| Report or ebook | 3 | 3 | 2026-08-28 | ||
| Template or tool | 3 | 0 | 2026-04-13 |
Most recent
- 2026-09-07Employee surveys software blog
- 2026-09-07Microsoft teams apps for employee engagement blog
- 2026-09-07Microsoft teams apps for employee recognition blog
- 2026-09-07Microsoft teams apps for employee rewards blog
- 2026-09-07Microsoft teams apps for employee surveys blog
- 2026-09-07Microsoft teams apps for pulse surveys blog
How it is countedHide how it is counted
Every page matterapp.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
Follow Matter
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Matter is its own company.ShowHide
The company
Matter is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Employee Recognition Software for Slack & Microsoft Teams
- For
- Teams
- Price stated
- Plans include Free, Basic, Pro, a Surveys add-on, and Enterprise with custom pricing. matterapp.com
- Starting price
- 0 matterapp.com
- Free plan or trial
- Free Forever plan with kudos recognition, the kudos template library, and Feedback Friday. No credit card required. matterapp.com
- Integrations claimed
- 2 matterapp.com · 15 matterapp.com/integrations pages disagree
- Certifications
- AICPA SOC 2 Type 2 CompliantGDPRData Privacy Framework (DPF)AES 256 EncryptionSOC 2 Type II ComplianceData Privacy Framework ProgramGeneral Data Protection Regulation (GDPR)SOC 2 Type 2
- Customers named
- FirefliesTrue ClassicTrend HunterSXSWMcInnis & HollowayPlanters BankOctusBolt
- Not stated on the pages read
- Hosting
What Matter's own pages state, read September 28, 2026: matterapp.com, matterapp.com/pricing, matterapp.com/solutions/retail, matterapp.com/customer-stories, matterapp.com/integrations. A claimed page can correct any of 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 Matter'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 Matter, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Matter by email, built from the raw record of the edition. It shows:
- where Matter is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Matter, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.