One of fourteen models named ZoomInfo first on the direct prompt; one named HubSpot Breeze Intelligence. ZoomInfo was named by fourteen of the fourteen models and HubSpot Breeze Intelligence by eight and ZoomInfo carries 44 labels and HubSpot Breeze Intelligence 11, so the shares are not directly comparable.
Vancouver, Washington, United States, founded 2000. Named in fifteen categories this edition.
By HubSpot, Cambridge, United States, founded 2006. Named in eleven 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 B2B intent data providers page.
Across every category in the November 2026 Edition, ZoomInfo and HubSpot Breeze Intelligence were named in the same answer 159 times, of the 617 answers naming ZoomInfo and the 258 naming HubSpot Breeze Intelligence. In those answers HubSpot Breeze Intelligence took the first choice eleven times and ZoomInfo thirty-six.
| 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. Two of two in this category shown.
“Bidstream-based providers (e.g., ZoomInfo, Demandbase) - Why avoid: These providers harvest intent data from ad auctions, which is legally contested” Mistral Small · negative prompt · hard negative
“Data accuracy issues: Multiple sources cite outdated contacts, incorrect job titles, and stale information as persistent problems” Kimi K2 · negative prompt · hard negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Premium product; reviewers note it's expensive for smaller teams” Kimi K2 · budget prompt · hard negative
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.