| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Customer success platforms | Customer | 10% | 3 of 49 | 26% | 27 | criticized challenger | ▲+6Since September 2026: 5% → 12%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Knowledge base and self-service | Customer | 3% | 9 of 88 | 0% | 10 | accepted challenger | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer support and helpdesk | Customer | 3% | 5 of 55 | 13% | 38 | accepted challenger | ▲+1Since September 2026: 2% → 4%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 2% | 17 of 142 | 0% | 3 | under 10 labels · led by Amplitude at 18% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Conversational marketing platforms | Marketing | 2% | 22 of 87 | 0% | 1 | under 10 labels · led by Tidio at 13% | |
| Chatbots and conversational AI for support | Customer | 0% | 24 of 114 | 10% | 10 | accepted challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer feedback and surveys | Customer | 0% | 25 of 84 | 0% | 5 | under 10 labels · led by CustomerGauge at 24% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| In-app messaging and customer communications | Customer | 0% | 32 of 105 | 0% | 3 | under 10 labels · led by Intercom at 21% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Customer success | 5% | 12% | ▲+6Since September 2026: 5% → 12%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 3 of 49 |
| Knowledge base | 0% | 4% | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 22 → 9 of 88 |
| Support chatbots | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 8 → 24 of 114 |
| Conversational mktg | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 22 of 87, unchanged |
| Helpdesk | 2% | 4% | ▲+1Since September 2026: 2% → 4%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 of 55, unchanged |
| Customer intel | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 130 → 17 of 142 |
| Feedback | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 54 → 25 of 84 |
| In-app messaging | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 54 → 32 of 105 |
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 | 1 | 3 | 1 | 0 | 5 |
| GPT-5.4 mini | 0 | 3 | 1 | 1 | 5 |
| Gemini 3.5 Flash | 2 | 6 | 0 | 3 | 11 |
| Perplexity Sonar | 1 | 4 | 1 | 2 | 8 |
| Grok 4.1 Fast | 2 | 3 | 5 | 1 | 11 |
| Mistral Small | 0 | 2 | 1 | 1 | 4 |
| DeepSeek V4 Flash | 0 | 4 | 1 | 2 | 7 |
| Llama 4 Maverick | 1 | 0 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 8 | 2 | 2 | 13 |
| Kimi K2 | 0 | 8 | 2 | 0 | 10 |
| GLM 4.7 FlashX | 1 | 4 | 2 | 0 | 7 |
| MiniMax M2.5 | 2 | 3 | 1 | 1 | 7 |
| GPT-6 Luna | 0 | 3 | 0 | 0 | 3 |
| Muse Glimmer 30B | 1 | 3 | 1 | 0 | 5 |
Verbatim evidence the judge attached to positive labels.
“I'd recommend HubSpot as the safest starting point for most mid-market B2B due to its balance of features, ratings, and ecosystem lock-in avoidance.” Grok 4.1 Fast · Conversational mktg · direct prompt · first choice
“For the tightest budget, Totango's free tier or HubSpot Service Hub's free plan would be the best starting points.” MiniMax M2.5 · Customer success · budget prompt · first choice
“Cited as Best overall customer intelligence platform in a 2025 evaluation: "Best overall: HubSpot Service Hub"” Muse Glimmer 30B · Customer intel · direct prompt · first choice
“the best customer success platform is usually HubSpot Service Hub Starter if you want an all-in-one option” Perplexity Sonar · Customer success · budget 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.
“Avoid the "Let's Just Build It in Our CRM" Trap (Salesforce / HubSpot Customization)” Gemini 3.5 Flash · Customer success · negative prompt · hard negative
“Zapier notes a steep learning curve, a platform that can feel overwhatever overwhelming, and pricing that is expensive for its value” Perplexity Sonar · Helpdesk · negative prompt · soft negative
“Not a dedicated customer success platform — lacks the deep health scoring, churn prediction, and journey orchestration of the specialists.” DeepSeek V4 Flash · Customer success · comparative prompt · soft negative
“as a standalone helpdesk, it lacks the deep, granular ticketing workflows, robust queue management, and advanced SLA triggers” Gemini 3.5 Flash · Helpdesk · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 235 of the 255 answers that named HubSpot Service Hub and are not a share of its labels.
577 of the 678 domain citations in answers naming HubSpot Service Hub 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.
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.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
What HubSpot Service Hub's own pages state, read September 28, 2026: academy.hubspot.com/service-hub-admin, academy.hubspot.com/service-hub-integrations, academy.hubspot.com/hubspot-service-software, academy.hubspot.com/hubspot-service-hub-software-ja, academy.hubspot.com/foundations-of-hubspot-service-hub-starter. 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 HubSpot Service Hub'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 HubSpot Service Hub, 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 HubSpot Service Hub by email, built from the raw record of the edition. It shows:
HubSpot Service Hub is among the products AI models recommend first in Customer success platforms 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.