| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Chatbots and conversational AI for support | Customer | 41% | 1 of 114 | 14% | 58 | endorsed leader | ▲+4Since September 2026: 35% → 39%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Support chatbots | 35% | 39% | ▲+4Since September 2026: 35% → 39%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 114, 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 | 1 | 3 | 1 | 1 | 6 |
| GPT-5.4 mini | 1 | 2 | 1 | 1 | 5 |
| Gemini 3.5 Flash | 4 | 0 | 0 | 1 | 5 |
| Perplexity Sonar | 1 | 1 | 0 | 1 | 3 |
| Grok 4.1 Fast | 2 | 1 | 2 | 1 | 6 |
| Mistral Small | 0 | 0 | 3 | 0 | 3 |
| DeepSeek V4 Flash | 4 | 1 | 0 | 0 | 5 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 3 | 1 | 0 | 1 | 5 |
| Kimi K2 | 2 | 1 | 1 | 1 | 5 |
| GLM 4.7 FlashX | 2 | 1 | 0 | 0 | 3 |
| MiniMax M2.5 | 2 | 1 | 0 | 0 | 3 |
| GPT-6 Luna | 2 | 1 | 0 | 1 | 4 |
| Muse Glimmer 30B | 3 | 0 | 0 | 0 | 3 |
Verbatim evidence the judge attached to positive labels.
“Intercom is a category leader for web-app-native customer communication. Its Generative AI chatbot, Fin, is highly regarded for its plug-and-play accuracy.” Gemini 3.5 Flash · Support chatbots · direct prompt · first choice
“Choose Intercom Fin if you are a SaaS or digital product company looking for a modern, sleek, chat-first experience with zero handoff friction.” Gemini 3.5 Flash · Support chatbots · comparative prompt · first choice
“Mature all-in-one customer messaging platform with a dedicated AI agent, Fin. Fin is positioned as a mature AI agent for digital-first teams.” Muse Glimmer 30B · Support chatbots · comparative prompt · first choice
“Fin by Intercom is recommended for mid-market and enterprise support teams that want a high-performing, chat-first AI agent” Claude Haiku 4.5 · Support chatbots · 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.
“strongest when you already live in those ecosystems; they may be less ideal if you need broad customization outside them” Perplexity Sonar · Support chatbots · negative prompt · soft negative
“frequently cited in enterprise contexts for becoming prohibitively expensive and restrictive as a company grows” Qwen 3.7 Flash · Support chatbots · negative prompt · soft negative
“Platforms like basic Intercom Fin or Salesforce Agentforce claim high rates but lack independent benchmarks.” Grok 4.1 Fast · Support chatbots · negative prompt · soft negative
“Fin is mostly designed with B2C use cases in mind, so it's less optimized for B2B workflows” Claude Haiku 4.5 · Support chatbots · paraphrase 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 145 of the 160 answers that named Intercom Fin AI Agent and are not a share of its labels.
382 of the 433 domain citations in answers naming Intercom Fin AI Agent 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 | 1,160 | 5 | 2026-09-09 | ||
| Podcast or video | 515 | 0 | 2023-06-29 | ||
| News or press | 132 | undated | |||
| Report or ebook | 93 | 0 | 2026-06-19 | ||
| Glossary or explainer | 80 | 14 | 2026-09-26 | ||
| Case study | 47 | undated | |||
| Comparison | 33 | 10 | 2026-09-24 | ||
| Template or tool | 29 | 8 | 2026-09-22 | ||
| Conference or event | 16 | 6 | 2026-09-11 | ||
| Webinar or virtual event | 2 | undated |
Every page intercom.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.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase
What Intercom Fin AI Agent's own pages state, read October 5, 2026: intercom.com/fin, intercom.com, intercom.com/pricing, trust.intercom.com, intercom.com/solutions/gaming. 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 Intercom Fin AI Agent'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 Intercom Fin AI Agent, 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 Intercom Fin AI Agent by email, built from the raw record of the edition. It shows:
AI models recommend Intercom Fin AI Agent 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.