GTM AI Index
Index Sales Intent data › Bombora vs RB2B
B2B intent data providers · September 2026 Edition

Bombora vs RB2B

Eight of twelve models named Bombora first on the direct prompt; zero named RB2B. Bombora was named by twelve of the twelve models and RB2B by seven and Bombora carries 56 labels and RB2B 13, so the shares are not directly comparable.

Bombora

endorsed leader

Named in six categories this edition.

RB2B

accepted challenger

Named in four categories this edition.

First-choice share35%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A position in a field of 14; printed, not drawn.
Labels5613A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Bombora reading right to left. Rank and label count are printed, not drawn.G2 Buyer Intent was named alongside these two in nine of the twelve direct answers. Bombora vs Apollo.io · Bombora vs G2 Buyer Intent · Bombora vs Intentsify

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

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
BomboraFirst choices, of twelve modelsRB2B
Direct80
Paraphrase91
Comparative60
Budget-constrained008 against Bombora
Scale-constrained10
Negative102 against Bombora
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Bombora and RB2B stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Bombora RB2B first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bombora on the left and RB2B on the right.

The direct prompt

The plain question, one answer per model, grouped by where Bombora and RB2B stood in it.

Bombora first, RB2B not the choice

8 of 12 modelsRB2B was named in the answer but not as the choice, or not at all.
GPT-5.4 miniBombora alternatives: 6sense, AdRoll ABM, Demandbase, G2 Buyer Intent
Perplexity SonarBombora alternatives: 6sense, Dealfront, G2 Buyer Intent
Grok 4.1 FastBombora alternatives: AdRoll ABM, Dealfront, G2 Buyer Intent, ZoomInfo
DeepSeek V4 FlashBombora, G2 Buyer Intent alternatives: Intentsify, ZoomInfo
Llama 4 MaverickBombora, Intentsify alternatives: Abmatic AI, Cognism, Dealfront
Qwen 3.7 FlashBombora alternatives: AdRoll ABM, Factors.ai, G2 Buyer Intent, Intentsify, Warmly
Kimi K2Bombora, ZoomInfo alternatives: AdRoll ABM, Demandbase, G2 Buyer Intent
MiniMax M2.5Bombora, G2 Buyer Intent alternatives: Apollo Intent, Factors.ai, Intentsify

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashApollo.io, HubSpot Breeze Intelligence alternatives: Bombora, G2 Buyer Intent, RB2B, Warmly
GLM 4.7 FlashXApollo.io alternatives: Dealfront, G2 Buyer Intent, RB2B

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice alternatives: Cognism, Dealfront, Demandbase, Intentsify
Mistral SmallMarketBetter alternatives: Apollo.io, Dealfront, Factors.ai

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
Bombora leads by two points.
Bombora4%#6 of 14
RB2B2%#8 of 14
The full small business standing →
Mid-marketThe figures above
Bombora leads by thirty-three points.
Bombora35%#1 of 14
RB2B2%#8 of 14
The full mid-market standing →
Enterprise
Bombora leads by twenty points.
Bombora20%#3 of 9
RB2B0%#– of 9
The full enterprise standing →

What the models said about Bombora

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid: Enterprise platforms like ... Bombora ($25K-$75K/year)” GLM 4.7 FlashX · budget prompt · hard negative
“What to Avoid on a Limited Budget ... Bombora (~$25K+/yr)” Kimi K2 · budget prompt · hard negative
“Skip the enterprise platforms (Bombora, 6sense, Demandbase, ZoomInfo) unless you have five-figure annual budget” DeepSeek V4 Flash · budget prompt · soft negative
“For pure lead generation/scoring: Go with Bombora. It provides the cleanest, most standardized dataset for most mid-market ABM strategies.” Qwen 3.7 Flash · paraphrase prompt · first choice
“The industry standard for third-party cooperative intent... The "market standard" co-op network used by most large enterprises.” Qwen 3.7 Flash · comparative prompt · first choice
“Bombora is widely considered the industry standard and best starting point due to its data quality, coverage, and integrations” Qwen 3.7 Flash · 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. 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
Also compared

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.