Intentsify vs RB2B
One of twelve models named Intentsify first on the direct prompt; zero named RB2B. Intentsify was named by nine of the twelve models and RB2B by seven and Intentsify carries 19 labels and RB2B 13, so the shares are not directly comparable.
Named in one category this edition.
Named in four 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.
By framing
IntentsifyFirst choices, of twelve modelsRB2B
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 | | |
Intentsify RB2B first choice named as an alternative argued againstblank: not namedEach cell is one answer, Intentsify on the left and RB2B on the right.The direct prompt
Intentsify first, RB2B not the choice
1 of 12 modelsRB2B was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 of 12 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
Intentsify4%#4 of 14RB2B2%#8 of 14Intentsify0%#8 of 9RB2B0%#– of 9What the models said about Intentsify
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“better suited for enterprise ABM teams with dedicated RevOps resources” Kimi K2 · direct prompt · soft negative
“Bombora or Intentsify - Recommended for mid-market teams with budgets between $25K-$75K/year for third-party intent data.” Llama 4 Maverick · direct prompt · first choice
“I'd recommend starting with Bombora or Intentsify if your primary goal is pure intent data” MiniMax M2.5 · paraphrase prompt · first choice
“best for mid-market and enterprise teams wanting managed activation services alongside intent intelligence” Claude Haiku 4.5 · direct prompt · alternative
What the models said about RB2B
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Go with RB2B if you want a low-cost, high-impact tool to turn anonymous US website traffic into LinkedIn outbound.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Lightweight tools (like Warmly, RB2B, or Koala) are often much more digestible ($10k-$30k/year) for mid-market teams.” Gemini 3.5 Flash · scale prompt · alternative
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.