Bombora vs Dealfront
Eight of fourteen models named Bombora first on the direct prompt; zero named Dealfront. Bombora was named by fourteen of the fourteen models and Dealfront by twelve and Bombora carries 68 labels and Dealfront 31, so the shares are not directly comparable.
Named in nine categories this edition.
Named in seven 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
BomboraFirst choices, of fourteen modelsDealfront
Across every category in the November 2026 Edition, Bombora and Dealfront were named in the same answer seventy-eight times, of the 278 answers naming Bombora and the 189 naming Dealfront. In those answers Dealfront took the first choice nine times and Bombora eleven.
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 | | | | | |
Bombora Dealfront first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bombora on the left and Dealfront on the right.The direct prompt
Bombora first, Dealfront an alternative
8 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.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 13Bombora0%#12 of 13Bombora34%#1 of 12Dealfront5%#4 of 12Bombora25%#2 of 9Dealfront0%#– of 9What the models said about Bombora
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid on a Limited Budget - Bombora (~$25K+/year) — Enterprise-grade, not budget-friendly” MiniMax M2.5 · budget prompt · hard negative
“Nobody should pay for Bombora data twice across four platforms that all resell it” Claude Haiku 4.5 · negative prompt · hard negative
“Avoid enterprise platforms such as 6sense, Demandbase, or Bombora initially” Perplexity Sonar · budget prompt · hard negative
“Key Differentiator: Higher data accuracy and consent compliance than raw ad-tech/bidstream data because it measures actual content consumption on trusted B2B publisher sites.” Gemini 3.5 Flash · comparative prompt · first choice
“Choose Bombora if you need a relatively neutral third-party topic-intent feed to integrate into your CRM, CDP, or marketing stack.” Perplexity Sonar · comparative prompt · first choice
“If you have an established ABM program, jump straight to Bombora or a similar provider to layer on top of your existing workflow.” Qwen 3.7 Flash · scale prompt · first choice
What 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
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.