Dealfront vs RB2B
Zero of fourteen models named Dealfront first on the direct prompt; zero named RB2B. Dealfront was named by twelve of the fourteen models and RB2B by twelve and Dealfront carries 31 labels and RB2B 20, so the shares are not directly comparable.
Named in seven categories this edition.
Named in 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 modelsRB2B
Across every category in the November 2026 Edition, Dealfront and RB2B were named in the same answer ninety-three times, of the 189 answers naming Dealfront and the 127 naming RB2B. In those answers RB2B took the first choice six times and Dealfront ten.
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 4.20 | | | ||||
| 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 | |
Dealfront RB2B first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dealfront on the left and RB2B on the right.The direct prompt
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 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
Dealfront10%#2 of 13RB2B3%#4 of 13Dealfront0%#– of 9RB2B0%#– 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.
“If you currently have no intent data, start small with a tool like Leadfeeder or a lighter tier of a larger provider to build a baseline.” Qwen 3.7 Flash · scale prompt · first choice
“For most small businesses, Apollo.io or Leadfeeder offer the best combination of price and functionality.” MiniMax M2.5 · budget prompt · first choice
What the models said about RB2B
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Products such as RB2B, Vector, and Warmly can have narrower geographic coverage, with contact-level identification often limited to the United States” Perplexity Sonar · negative prompt · soft negative
“Install RB2B on your website to identify individual visitors, and use Apollo\u2019s basic paid plan to run searches on company intent topics.” Gemini 3.5 Flash · budget prompt · first choice
“The Best All-Around Choice: RB2B ... widely considered the best ROI tool for small budgets” Qwen 3.7 Flash · budget prompt · first choice
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.