G2 Buyer Intent vs RB2B
Two of twelve models named G2 Buyer Intent first on the direct prompt; zero named RB2B. G2 Buyer Intent was named by twelve of the twelve models and RB2B by seven and G2 Buyer Intent carries 43 labels and RB2B 13, so the shares are not directly comparable.
By G2, Chicago, United States, founded 2012. Named in three categories 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
G2 Buyer IntentFirst 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 | | | |
G2 Buyer Intent RB2B first choice named as an alternative argued againstblank: not namedEach cell is one answer, G2 Buyer Intent on the left and RB2B on the right.The direct prompt
G2 Buyer Intent first, RB2B not the choice
2 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
7 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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
G2 Buyer Intent6%#3 of 14RB2B2%#8 of 14G2 Buyer Intent13%#3 of 14RB2B2%#8 of 14G2 Buyer Intent0%#7 of 9RB2B0%#– of 9What the models said about G2 Buyer Intent
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“The data is expensive (often $25,000 to $80,000/year depending on your categories) and volume is notoriously low” Gemini 3.5 Flash · negative prompt · soft negative
“Pure Signal Accuracy (SaaS) | G2 Buyer Intent | Highest fidelity for software buyers actively comparing products.” Qwen 3.7 Flash · comparative prompt · first choice
“Start with first-party/review-site signals (e.g., G2/TrustRadius for SaaS: $10K\u2013$50K, high-intent)” Grok 4.1 Fast · negative prompt · first choice
“Go with G2 if you are in B2B SaaS and want to intercept prospects actively comparing software.” Gemini 3.5 Flash · paraphrase 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. 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.