# Qualified vs HubSpot Conversations: which do AI models recommend for conversational mktg, October 2026

GTM AI Recommendation Index, October 2026 Edition, Conversational marketing platforms. One of fourteen models named Qualified first on the direct prompt; two named HubSpot Conversations. Page: https://gtm-ai-index.com/marketing/conversational-marketing/qualified-vs-hubspot-conversations/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Qualified | 8% | #4 of 9 | 6% | 33 | 13 of 14 |
| HubSpot Conversations | 8% | #5 of 9 | 8% | 25 | 11 of 14 |

## The direct prompt, model by model

- Kimi K2: qualified first (first choices: Intercom, Qualified) (alternatives: Freshdesk)
- Llama 4 Maverick: hubspot conversations first (first choices: HubSpot Conversations) (alternatives: Genesys Cloud CX, Qualified)
- GPT-6 Luna: hubspot conversations first (first choices: HubSpot Conversations) (alternatives: Intercom, Qualified)
- Claude Haiku 4.5: neither first, one named (first choices: Intercom) (alternatives: Crisp, HubSpot Breeze, HubSpot Marketing Hub, Qualified, Tidio, Zoho SalesIQ)
- GPT-5.4 mini: neither first, one named (first choices: HubSpot Marketing Hub) (alternatives: Drift, Qualified)
- Gemini 3.5 Flash: neither first, one named (first choices: HubSpot Marketing Hub) (alternatives: Intercom, Qualified, Salesforce Agentforce, Salesloft AI Chat)
- Grok 4.1 Fast: neither first, one named (first choices: HubSpot Marketing, HubSpot Service Hub) (alternatives: Intercom, Qualified)
- Mistral Small: neither first, one named (first choices: Intercom) (alternatives: Qualified)
- DeepSeek V4 Flash: neither first, one named (first choices: Freshchat) (alternatives: Intercom, Qualified)
- Qwen 3.7 Flash: neither first, one named (first choices: Drift) (alternatives: HubSpot Conversations, Intercom, Knock.ai, Wonderchat)
- Muse Glimmer 30B: neither first, one named (first choices: Intercom) (alternatives: Drift, Freshdesk Freshchat, HubSpot Chat, Qualified)
- Perplexity Sonar: neither named (first choices: HubSpot Marketing Hub) (alternatives: Drift)
- GLM 4.7 FlashX: neither named (first choices: Intercom) (alternatives: Rework)
- MiniMax M2.5: neither named (first choices: Freshchat) (alternatives: Intercom)

## What the models said about Qualified

- "Qualified, another major B2B player, was acquired by Salesforce. Its conversational AI capabilities (formerly "Piper") are now integrated directly into Salesforce's Agentforce." (Gemini 3.5 Flash, scale prompt, soft negative)
- "More expensive (quote-based, starting around $40K-68K/year)" (GLM 4.7 FlashX, direct prompt, soft negative)
- "with Qualified as the default choice if your primary goal is *more meetings and sales-qualified conversations*" (Perplexity Sonar, paraphrase prompt, first choice)
- "For mid-sized companies specifically, Drift or Qualified are typically the strongest choices" (Claude Haiku 4.5, paraphrase prompt, first choice)
- "if you need pipeline chat and visitor de-anonymization, a Drift/Qualified-type engine fits" (Muse Glimmer 30B, comparative prompt, first choice)

## What the models said about HubSpot Conversations

- "Caution if you are a small-to-midsized business without dedicated operations staff." (Gemini 3.5 Flash, negative prompt, soft negative)
- "HubSpot lags behind dedicated competitors" (Qwen 3.7 Flash, negative prompt, soft negative)
- "HubSpot Conversations - Best for SMBs and mid-market companies already invested in the HubSpot ecosystem." (Llama 4 Maverick, paraphrase prompt, first choice)
- "The best conversational marketing platform for a mid-market B2B company is HubSpot Conversations" (Llama 4 Maverick, direct prompt, first choice)
- "HubSpot: best all-in-one choice if you want chat + CRM + marketing automation." (GPT-5.4 mini, comparative prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.