Zero of fourteen models named Apollo.io first on the direct prompt; two named ZoomInfo. Apollo.io was named by thirteen of the fourteen models and ZoomInfo by fourteen and Apollo.io carries 36 labels and ZoomInfo 50, so the shares are not directly comparable.
San Francisco, United States, founded 2015. Named in twenty-six categories this edition.
Vancouver, Washington, United States, founded 2000. Named in twenty-six 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 October 2026 Edition, Apollo.io and ZoomInfo were named in the same answer 499 times, of the 1056 answers naming Apollo.io and the 914 naming ZoomInfo. In those answers ZoomInfo took the first choice eighty-four times and Apollo.io 209.
| 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. One of one in this category shown.
“Apollo.io - Best All-in-One for Budget Teams ... probably the most accessible entry point for teams that want intent data without enterprise pricing” Claude Haiku 4.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Verdict: Avoid if you need reliable intent signals for SDR outreach. The false positive rate will burn your reps' time and trust.” DeepSeek V4 Flash · 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.