| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| In-app messaging and customer communications | Customer | 5% | 5 of 105 | 0% | 4 | under 10 labels · led by Intercom at 21% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Conversational marketing platforms | Marketing | 2% | 13 of 87 | 10% | 10 | accepted challenger | |
| Chatbots and conversational AI for support | Customer | 2% | 18 of 114 | 33% | 3 | under 10 labels · led by Intercom Fin AI Agent at 41% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer feedback and surveys | Customer | 0% | 48 of 84 | 0% | 1 | under 10 labels · led by CustomerGauge at 24% | newNew since September 2026: not ranked then, 0% now. |
| Customer success platforms | Customer | 0% | 31 of 49 | 0% | 1 | under 10 labels · led by ChurnZero at 42% | =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 |
|---|---|---|---|---|---|
| Conversational mktg | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 13 of 87, unchanged |
| Support chatbots | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 32 → 18 of 114 |
| In-app messaging | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 17 → 5 of 105 |
| Feedback | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 48 of 84, unchanged |
| Customer success | 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 21 → 31 of 49 |
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 | 0 | 2 | 0 | 0 | 2 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 1 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 2 | 2 | 1 | 1 | 6 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“I'd start with Crisp. Its free plan includes two agent seats, a shared inbox, unlimited conversations” GPT-6 Luna · In-app messaging · budget prompt · first choice
“the best customer support chatbot platform in 2026 is generally Crisp” Qwen 3.7 Flash · Support chatbots · budget prompt · first choice
“For most companies with limited budget, Crisp is the best balance of” GPT-5.4 mini · In-app messaging · budget prompt · first choice
“For low-cost customer support chat: Go with Crisp.” Gemini 3.5 Flash · In-app messaging · 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.
“Recent negative reviews have included allegations of "bad business practices" and products failing to live up to marketing promises.” Qwen 3.7 Flash · Support chatbots · negative prompt · hard negative
“Platforms like some Tidio/Crisp free tiers lack deep CRM syncing” Grok 4.1 Fast · Conversational mktg · 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 72 of the 79 answers that named Crisp and are not a share of its labels.
186 of the 186 domain citations in answers naming Crisp 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 |
|---|---|---|---|---|---|
| Comparison | 738 | 1 | 2026-07-30 | ||
| Blog | 213 | 13 | 2026-09-03 | SEO, CRM | |
| Report or ebook | 126 | undated |
Every page crisp.chat 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.
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 Crisp's own pages state, read September 28, 2026: crisp.chat, crisp.chat/en/pricing, crisp.chat/en/integrations. 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 Crisp'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 Crisp, 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 Crisp by email, built from the raw record of the edition. It shows: