Two of twelve models named Apollo.io first on the direct prompt; one named ZoomInfo. Apollo.io was named by eleven of the twelve models and ZoomInfo by twelve and Apollo.io carries 27 labels and ZoomInfo 37, so the shares are not directly comparable.
San Francisco, United States, founded 2015. Named in twenty categories this edition.
Vancouver, Washington, United States, founded 2000. Named in eighteen categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 September 2026 Edition, Apollo.io and ZoomInfo were named in the same answer 442 times, of the 858 answers naming Apollo.io and the 675 naming ZoomInfo. In those answers ZoomInfo took the first choice sixty-two times and Apollo.io 180.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 |
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. Two of two in this category shown.
“here are the B2B intent data providers ... you should approach with caution ... ZoomInfo (Specifically "Streaming Intent") ... High False Positive Rate” Qwen 3.7 Flash · negative prompt · hard negative
“ZoomInfo Intent: Streaming signals criticized as lowest quality (Bombora-resold + web), inaccurate revenue/employee data, buggy.” Grok 4.1 Fast · 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.