# RB2B vs G2 Buyer Intent: which do AI models recommend for intent data, October 2026

GTM AI Recommendation Index, October 2026 Edition, B2B intent data providers. Zero of fourteen models named RB2B first on the direct prompt; one named G2 Buyer Intent. Page: https://gtm-ai-index.com/sales/b2b-intent-data/rb2b-vs-g2-buyer-intent/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| RB2B | 5% | #6 of 13 | 0% | 14 | 8 of 14 |
| G2 Buyer Intent | 2% | #8 of 13 | 11% | 44 | 14 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: g2 buyer intent first (first choices: Bombora, G2 Buyer Intent) (alternatives: Apollo Intent, Dealfront, Factors.ai, Intentsify)
- GPT-5.4 mini: neither first, one named (first choices: Bombora) (alternatives: 6sense, G2 Buyer Intent)
- Gemini 3.5 Flash: neither first, one named (first choices: ZoomInfo) (alternatives: Bombora, Cognism, Factors.ai, RB2B)
- Grok 4.1 Fast: neither first, one named (first choices: Bombora) (alternatives: AdRoll ABM, G2 Buyer Intent, Intentsify, Warmly)
- DeepSeek V4 Flash: neither first, one named (first choices: Bombora) (alternatives: G2 Buyer Intent, Intentsify, ZoomInfo)
- Kimi K2: neither first, one named (first choices: Dealfront, ZoomInfo) (alternatives: Bombora, G2 Buyer Intent)
- GLM 4.7 FlashX: neither first, one named (first choices: Factors.ai) (alternatives: Bombora, Dealfront, G2 Buyer Intent)
- MiniMax M2.5: neither first, one named (first choices: 6sense) (alternatives: Bombora, Dealfront, Demandbase, G2 Buyer Intent, Prospeo, TrustRadius, ZoomInfo Streaming Intent)
- GPT-6 Luna: neither first, one named (first choices: Bombora) (alternatives: 6sense, G2 Buyer Intent)
- Perplexity Sonar: neither named (first choices: 6sense) (alternatives: Apollo.io, Dealfront, Demandbase)
- Mistral Small: neither named (first choices: Dealfront, Factors.ai) (alternatives: 6sense, Lusha)
- Llama 4 Maverick: neither named
- Qwen 3.7 Flash: neither named (first choices: Bombora) (alternatives: 6sense, Datanyze, Demandbase, ZoomInfo)
- Muse Glimmer 30B: neither named (first choices: Dealfront, Factors.ai) (alternatives: Warmly)

## What the models said about RB2B

- "I'd recommend RB2B if you have meaningful website traffic and want person-level identification" (DeepSeek V4 Flash, budget prompt, first choice)
- "If you have zero budget but some website traffic: Set up RB2B (for US traffic)" (Gemini 3.5 Flash, budget prompt, first choice)
- "the practical stack is usually Apollo.io or RB2B for coverage" (Muse Glimmer 30B, budget prompt, first choice)

## What the models said about G2 Buyer Intent

- "But check the actual package and price first: G2 says signal access depends on your plan, and its public pricing doesn't clearly show Buyer Intent as included in the low-cost Starter plan." (GPT-6 Luna, budget prompt, soft negative)
- "G2/TrustRadius/TechTarget-style intent can be useful, but it is often best for product-category research and may be less useful if you need broad, person-level buying intent" (GPT-5.4 mini, negative prompt, soft negative)
- "Each appears in comparison charts but shares recurring pain points—stale data, opaque predictive models, steep learning curves" (Qwen 3.7 Flash, negative prompt, soft negative)
- "Bombora layered with G2 Buyer Intent is the pragmatic starting point." (Claude Haiku 4.5, direct prompt, first choice)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.