Four of fourteen models named Intercom first on the direct prompt; zero named HubSpot Marketing Hub. Intercom was named by fourteen of the fourteen models and HubSpot Marketing Hub by twelve and Intercom carries 56 labels and HubSpot Marketing Hub 20, so the shares are not directly comparable.
United States, founded 2011. Named in fourteen categories this edition.
By HubSpot, Cambridge, United States, founded 2006. Named in twenty-nine 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 conversational marketing platforms page.
| 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 |
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. Three of three in this category shown.
“Avoid enterprise-level platforms like Intercom or Drift (now owned by Salesloft), which get expensive quickly” Gemini 3.5 Flash · budget prompt · hard negative
“Intercom (pricing opacity + support issues)” Kimi K2 · negative prompt · hard negative
“I recommend Intercom (now with its AI agent called Fin) as the top website chat solution for converting visitors into pipeline.” Grok 4.20 · paraphrase prompt · first choice
No label in this category carried a quote.
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.