| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Customer support and helpdesk | Customer | 14% | 3 of 55 | 0% | 15 | accepted challenger | ▲+13Since September 2026: 2% → 15%, +13 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Chatbots and conversational AI for support | Customer | 4% | 8 of 114 | 0% | 3 | under 10 labels · led by Intercom Fin AI Agent at 41% | ▼−1Since September 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Knowledge base and self-service | Customer | 2% | 17 of 88 | 0% | 2 | under 10 labels · led by Notion at 21% | newNew since September 2026: not ranked then, 2% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Helpdesk | 2% | 15% | ▲+13Since September 2026: 2% → 15%, +13 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 6 → 3 of 55 |
| Knowledge base | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 17 of 88, unchanged |
| Support chatbots | 5% | 4% | ▼−1Since September 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 8 of 114 |
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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 3 | 1 | 1 | 0 | 5 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 2 | 1 | 0 | 0 | 3 |
| DeepSeek V4 Flash | 1 | 1 | 0 | 0 | 2 |
| Llama 4 Maverick | 1 | 1 | 0 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 2 | 0 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 2 | 0 | 0 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“TeamSupport if your B2B relationships involve complex accounts with multiple stakeholders and you want a platform built specifically for that use case.” Kimi K2 · Helpdesk · direct prompt · first choice
“TeamSupport is purpose-built for B2B with account-level insight, conversational bots, rich-media ticketing, and strong omnichannel support” Claude Haiku 4.5 · Support chatbots · direct prompt · first choice
“TeamSupport focuses on B2B customer support... strong fit for B2B support teams at small to mid-sized companies” Claude Haiku 4.5 · Helpdesk · paraphrase prompt · first choice
“or TeamSupport if B2B-specific features like account management and churn prediction are priorities” MiniMax M2.5 · Helpdesk · direct prompt · first choice
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.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 51 of the 51 answers that named TeamSupport and are not a share of its labels.
175 of the 192 domain citations in answers naming TeamSupport came from somebody else's page.
Pages are listed as the models cited them.
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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 172 | 3 | 2026-09-16 | ||
| Case study | 45 | 0 | 2024-10-24 | ||
| Report or ebook | 12 | 0 | 2026-04-21 | ||
| Comparison | 7 | 0 | 2025-09-24 | ||
| Webinar or virtual event | 3 | 0 | 2023-02-05 | ||
| Glossary or explainer | 3 | 0 | 2026-03-27 | ||
| Template or tool | 1 | undated | |||
| News or press | 1 | 0 | 2023-02-05 |
Every page teamsupport.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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
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.
What TeamSupport's own pages state, read September 28, 2026: teamsupport.com, teamsupport.com/pricing, teamsupport.com/category/customer-stories. A claimed page can correct any of them.
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 TeamSupport'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 TeamSupport, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for TeamSupport by email, built from the raw record of the edition. It shows:
TeamSupport is among the products AI models recommend first in Customer support and helpdesk this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.