Eleven of fourteen models named Intercom Fin AI Agent first on the direct prompt; zero named Ada. Intercom Fin AI Agent was named by fourteen of the fourteen models and Ada by twelve and Intercom Fin AI Agent carries 58 labels and Ada 28, so the shares are not directly comparable.
By Intercom, United States, founded 2011. Named in one category this edition.
Named in two categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the Chatbots and conversational AI for support page.
Across every category in the October 2026 Edition, Intercom Fin AI Agent and Ada were named in the same answer fifty-three times, of the 160 answers naming Intercom Fin AI Agent and the 66 naming Ada. In those answers Ada took the first choice five times and Intercom Fin AI Agent seventeen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“strongest when you already live in those ecosystems; they may be less ideal if you need broad customization outside them” Perplexity Sonar · negative prompt · soft negative
“frequently cited in enterprise contexts for becoming prohibitively expensive and restrictive as a company grows” Qwen 3.7 Flash · negative prompt · soft negative
“Platforms like basic Intercom Fin or Salesforce Agentforce claim high rates but lack independent benchmarks.” Grok 4.1 Fast · negative prompt · soft negative
“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 · 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 · 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 · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“it may require hands-on tuning and works best when your knowledge lives in structured help-center content” Perplexity Sonar · negative prompt · soft negative
“The gold standard for "pure" AI support bots. Expensive, but very powerful for higher volumes.” Qwen 3.7 Flash · scale prompt · soft negative
“Sierra and Ada are pricing-prohibitive and feature-heavy for mid-market” Muse Glimmer 30B · direct prompt · soft negative
“Ada: Excellent for mid-market to enterprise companies. Highly advanced in taking actual business "actions"” Gemini 3.5 Flash · scale prompt · first choice
“Enterprise-level performance with no-code authoring and automation-first design.” Muse Glimmer 30B · comparative prompt · first choice
“If you need high-volume, enterprise-scale automation with professional services, Ada is the next step up” Muse Glimmer 30B · paraphrase prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.