Intercom Fin vs Workativ
Zero of fourteen models named Intercom Fin first on the direct prompt; one named Workativ. Intercom Fin was named by nine of the fourteen models and Workativ by ten and Intercom Fin carries 18 labels and Workativ 15, so the shares are not directly comparable.
Named in two categories 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 AI IT support agents page.
By framing
Intercom FinFirst choices, of fourteen modelsWorkativ
Across every category in the November 2026 Edition, Intercom Fin and Workativ were named in the same answer twelve times, of the 66 answers naming Intercom Fin and the 43 naming Workativ. In those answers Workativ took the first choice four times and Intercom Fin one.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | | |||
| Grok 4.20 | | | ||||
| 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 | | |
Intercom Fin Workativ first choice named as an alternative argued againstblank: not namedEach cell is one answer, Intercom Fin on the left and Workativ on the right.The direct prompt
Workativ first, Intercom Fin not the choice
1 of 14 modelsIntercom Fin was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Intercom Fin18%#2 of 14Workativ2%#8 of 14Intercom Fin2%#6 of 10Workativ2%#7 of 10Workativ2%#– of 6Intercom Fin0%#– of 6What the models said about Intercom Fin
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Avoid vendors charging per-resolution or per-ticket AI fees (e.g., Intercom Fin at ~$0.99 per resolution)” Gemini 3.5 Flash · budget prompt · hard negative
“Intercom Fin is the strongest pure resolver in a 2026 B2B-weighted scoring” Muse Glimmer 30B · paraphrase prompt · first choice
“Intercom Fin—a strong resolver with broad channel coverage, but outcome-based pricing should be modeled carefully.” Perplexity Sonar · paraphrase prompt · alternative
“Best AI-First Resolution Rate ... Less suited for internal IT service management (ITSM) workflows.” DeepSeek V4 Flash · paraphrase prompt · alternative
What the models said about Workativ
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“also recommended for teams that want to get started without a sales call, though their starting prices are higher” Mistral Small · budget prompt · soft negative
“starts around $349/month, so it is less suitable for very small budgets” Perplexity Sonar · budget prompt · soft negative
“Starts ~$349/month; ... Good for SMBs but higher entry than eesel.” Grok 4.20 · budget prompt · soft negative
“The best AI agent for IT support in a mid-market B2B company ... is Workativ.” Grok 4.20 · direct prompt · first choice
“If you want a quick, cheap, no-code pilot → Workativ is the most accessible.” DeepSeek V4 Flash · comparative prompt · alternative
“For those wanting a fast, no-code solution, Workativ is worth considering.” Mistral Small · direct 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.