G2 Buyer Intent vs RB2B
Two of fourteen models named G2 Buyer Intent first on the direct prompt; zero named RB2B. G2 Buyer Intent was named by fourteen of the fourteen models and RB2B by twelve and G2 Buyer Intent carries 46 labels and RB2B 20, so the shares are not directly comparable.
By G2, Chicago, United States, founded 2012. Named in ten 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
G2 Buyer IntentFirst choices, of fourteen modelsRB2B
Across every category in the November 2026 Edition, G2 Buyer Intent and RB2B were named in the same answer thirty-two times, of the 176 answers naming G2 Buyer Intent and the 127 naming RB2B. In those answers RB2B took the first choice three times and G2 Buyer Intent two.
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 | | | |
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 14 modelsRB2B was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 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
G2 Buyer Intent7%#3 of 13RB2B3%#4 of 13G2 Buyer Intent4%#5 of 12RB2B4%#6 of 12G2 Buyer Intent0%#6 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. Three of three in this category shown.
“G2 Buyer Intent can be valuable for software companies, but it only reflects activity on categories G2 indexes well” Perplexity Sonar · negative prompt · soft negative
“Bombora layered with G2 Buyer Intent is the pragmatic starting point” Claude Haiku 4.5 · direct prompt · first choice
“or G2 Buyer Intent (if you're in software/SaaS)” Kimi K2 · direct 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.