Mid-marketnewNew since September 2026: not ranked then, 2% now.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 6 of 35, unchanged
Teams
13Judge labels
2First choices
4Negative labels
7 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Teams was named 6 times in Password managers and 2 other categories, where 1Password led with 47%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market6 of 35
2%1 label
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In password managers · 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 Teams 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 |
|---|---|---|---|---|---|---|---|
| Business password managers | Identity and access | 2% | 6 of 35 | 0% | 1 | under 10 labels · led by 1Password at 47% | newNew since September 2026: not ranked then, 2% now. |
| Video conferencing | IT operations and endpoint | 2% | 6 of 50 | 0% | 4 | under 10 labels · led by Zoom Workplace at 42% | |
| Remote support and remote access | IT operations and endpoint | 0% | 23 of 77 | 0% | 1 | under 10 labels · led by Splashtop Remote Support at 23% |
Movement
Since September 2026, Teams held within the floor in all three categories: no change cleared 11 points.
Best category · Password managers · by segment
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Password managers | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 6 of 35, unchanged |
| Video conferencing | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 6 of 50, unchanged |
| Remote support | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 23 of 77, unchanged |
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 11 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 Teams 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 Teams 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 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 2 | 0 | 2 |
| Gemini 3.5 Flash | 1 | 0 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| 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 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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 labels1
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained3 labels1
Negative6 labels1not counted in share
First choiceAlternativeMentionNegative13 labels in all, every segment counted; 2 of the 3 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.
“Simply start a meeting and use "Screen Share." This allows them to see what you are doing without giving them the ability to type commands” Qwen 3.7 Flash · Remote support · negative prompt · first choice
“If you are a heavy Microsoft shop, start with Teams. If you are a Google shop, start with Meet.” Gemini 3.5 Flash · Video conferencing · scale prompt · first choice
“Bitwarden Enterprise/Teams is the best starting point. It leads in third‑party evaluations” GLM 4.7 FlashX · Password managers · direct prompt · first choice
“Microsoft 365 is already your core stack: use Teams” GPT-6 Luna · Video conferencing · direct 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.
No model argued against it.
Named alongside
The products named in the same answers as Teams, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Teams was named but was not.ShowHide
Named alongside
The products named in the same answers as Teams, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Teams 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 Teams. 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 11 of the 13 answers that named Teams and are not a share of its labels.
Domains cited
workspace.google.com3
zoom.us3
cisa.gov2
comparitech.com2
learn.microsoft.com2
microsoft.com2
ones.com2
support.microsoft.com2
1password.com1
8216850.fs1.hubspotusercontent-na2.net1
No domain is on file for Teams, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Names read as Teams
What the judge wrote, as written, with how often. The vendor table decides that these count as Teams; a claim can dispute any of them.
Bitwarden Enterprise / Teams 1Zoom/Teams 1
Follow Teams
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.
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 Teams'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 Teams, 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 Teams by email, built from the raw record of the edition. It shows:
- where Teams 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 Teams, 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.