| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Chatbots and conversational AI for support | Customer | 7% | 3 of 114 | 29% | 7 | under 10 labels · led by Intercom Fin AI Agent at 41% | ▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Conversational marketing platforms | Marketing | 6% | 7 of 87 | 0% | 7 | under 10 labels · led by Tidio at 13% | |
| Contact center platforms | Customer | 0% | 64 of 86 | 0% | 1 | under 10 labels · led by Five9 at 18% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Conversational mktg | 0% | 6% | newNew since September 2026: not ranked then, 6% now. | New this edition | Rank 7 of 87, unchanged |
| Support chatbots | 0% | 6% | ▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 31 → 3 of 114 |
| Contact center | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 64 of 86, 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 0 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 0 | 1 | 2 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 1 | 1 | 0 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 1 | 0 | 0 | 1 | 2 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 1 | 0 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“Need a free live chat widget with no card required → Tawk.to." "Core live chat, ticketing, knowledge base and CRM is 100% free, unlimited agents.” Muse Glimmer 30B · Support chatbots · budget prompt · first choice
“Tawk.to – Completely free, easy to set up, and offers live chat and basic chatbot features. It's ideal for small businesses” Mistral Small · Conversational mktg · budget prompt · first choice
“For very tight budgets, Tawk.to is the clear winner since it's genuinely free with no strings attached.” MiniMax M2.5 · Conversational mktg · budget prompt · first choice
“Best overall free choice - completely free live chat and ticketing platform with no per-seat charges” GLM 4.7 FlashX · Support chatbots · 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.
“Major Data Breach (2024): An unknown hacker gained access to thousands of TradeZero customers' personally identifiable information through the Tawk.to chat service.” GLM 4.7 FlashX · Support chatbots · negative prompt · hard negative
“outperforming purely live-chat tools like Tawk.to (limited native AI/bots)” Grok 4.20 · Support chatbots · budget 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 35 of the 37 answers that named tawk.to and are not a share of its labels.
116 of the 116 domain citations in answers naming tawk.to 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 | 359 | undated | SEO, CRM | ||
| Glossary or explainer | 55 | undated | |||
| Report or ebook | 21 | 1 | 2026-07-08 | ||
| Webinar or virtual event | 16 | undated | |||
| Conference or event | 10 | undated | |||
| Comparison | 1 | 0 | 2023-05-23 |
Every page tawk.to 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 tawk.to's own pages state, read October 5, 2026: tawk.to, tawk.to, tawk.to/security, tawk.to/products/crm. 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 tawk.to'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 tawk.to, 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 tawk.to by email, built from the raw record of the edition. It shows:
tawk.to is among the products AI models recommend first in Chatbots and conversational AI for support 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.