Five of fourteen models named Apollo.io first on the direct prompt; one named HubSpot Sales Hub. Both were named by all fourteen models and Apollo.io carries 66 labels and HubSpot Sales Hub 60, so the shares are not directly comparable.
San Francisco, United States, founded 2015. Named in twenty-two categories this edition.
By HubSpot, Cambridge, United States, founded 2006. Named in twenty-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 sales engagement platforms page.
Across every category in the November 2026 Edition, Apollo.io and HubSpot Sales Hub were named in the same answer 191 times, of the 1129 answers naming Apollo.io and the 756 naming HubSpot Sales Hub. In those answers HubSpot Sales Hub took the first choice twenty-eight times and Apollo.io fifty-one.
| 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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Avoid HubSpot Sales Hub if you're scaling beyond a few users” GLM 4.7 FlashX · negative 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.