B2B intent data providers · October 2026 Edition
RB2B vs G2 Buyer Intent
Zero of fourteen models named RB2B first on the direct prompt; one named G2 Buyer Intent. RB2B was named by eight of the fourteen models and G2 Buyer Intent by fourteen and RB2B carries 14 labels and G2 Buyer Intent 44, so the shares are not directly comparable.
Named in five categories this edition.
By G2, Chicago, United States, founded 2012. Named in seven categories this edition.
First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 13; printed, not drawn.
Labels1444A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, RB2B reading right to left. Rank and label count are printed, not drawn.Bombora was named alongside these two in ten of the fourteen direct answers. Apollo.io vs RB2B · Apollo.io vs G2 Buyer Intent · Bombora vs RB2B
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
RB2BFirst choices, of fourteen modelsG2 Buyer Intent
Direct01
Paraphrase00
Comparative00
Budget-constrained301 against G2 Buyer Intent
Scale-constrained00
Negative004 against G2 Buyer Intent
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where RB2B and G2 Buyer Intent stood in it.
| 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 | | | ||||
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | |
RB2B G2 Buyer Intent first choice named as an alternative argued againstblank: not namedEach cell is one answer, RB2B on the left and G2 Buyer Intent on the right.The direct prompt
The plain question, one answer per model, grouped by where RB2B and G2 Buyer Intent stood in it.
G2 Buyer Intent first, RB2B not the choice
1 of 14 modelsRB2B was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Bombora, G2 Buyer Intent alternatives: Apollo Intent, Dealfront, Factors.ai, Intentsify
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.GPT-5.4 miniBombora alternatives: 6sense, G2 Buyer Intent
Gemini 3.5 FlashZoomInfo alternatives: Bombora, Cognism, Factors.ai, RB2B
Grok 4.1 FastBombora alternatives: AdRoll ABM, G2 Buyer Intent, Intentsify, Warmly
DeepSeek V4 FlashBombora alternatives: G2 Buyer Intent, Intentsify, ZoomInfo
Kimi K2Dealfront, ZoomInfo alternatives: Bombora, G2 Buyer Intent
GLM 4.7 FlashXFactors.ai alternatives: Bombora, Dealfront, G2 Buyer Intent
MiniMax M2.56sense alternatives: Bombora, Dealfront, Demandbase, G2 Buyer Intent, Prospeo, TrustRadius, ZoomInfo Streaming Intent
GPT-6 LunaBombora alternatives: 6sense, G2 Buyer Intent
Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.Perplexity Sonar6sense alternatives: Apollo.io, Dealfront, Demandbase
Mistral SmallDealfront, Factors.ai alternatives: 6sense, Lusha
Llama 4 Maverickno first choice
Qwen 3.7 FlashBombora alternatives: 6sense, Datanyze, Demandbase, ZoomInfo
Muse Glimmer 30BDealfront, Factors.ai alternatives: Warmly
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
RB2B4%#5 of 14G2 Buyer Intent4%#4 of 14Mid-marketThe figures above
Enterprise
The order flips: G2 Buyer Intent leads at enterprise.
G2 Buyer Intent4%#5 of 9RB2B0%#– of 9What 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.
“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
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“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
Also compared
Apollo.io vs RB2BApollo.io vs G2 Buyer IntentBombora vs RB2BBombora vs G2 Buyer IntentDealfront vs RB2BDealfront vs G2 Buyer IntentFactors.ai vs RB2BFactors.ai vs G2 Buyer IntentZoomInfo vs RB2BZoomInfo vs G2 Buyer IntentRB2B vs 6sense6sense vs G2 Buyer IntentAll twenty-eight head-to-head pages and the full intent data standing
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.