Dealfront vs ZoomInfo
Three of fourteen models named Dealfront first on the direct prompt; two named ZoomInfo. Both were named by all fourteen models and Dealfront carries 37 labels and ZoomInfo 50, so the shares are not directly comparable.
Named in ten 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.
By framing
DealfrontFirst choices, of fourteen modelsZoomInfo
Every model, every framing
| 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 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | | |
Dealfront ZoomInfo first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dealfront on the left and ZoomInfo on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Dealfront first, ZoomInfo not the choice
2 of 14 modelsZoomInfo was named in the answer but not as the choice, or not at all.ZoomInfo first, Dealfront not the choice
1 of 14 modelsDealfront was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Dealfront5%#2 of 14ZoomInfo0%#12 of 14ZoomInfo6%#4 of 9Dealfront0%#– of 9What the models said about Dealfront
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“For a mid-sized B2B company, Dealfront offers the best balance of intent visibility, mid-market focus, and affordability.” GLM 4.7 FlashX · paraphrase prompt · first choice
“combine Apollo.io (to find the right accounts) with Leadfeeder (to verify interest)” Qwen 3.7 Flash · budget prompt · first choice
What the models said about ZoomInfo
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.