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B2B intent data providers · October 2026 Edition

Bombora vs Factors.ai

Six of fourteen models named Bombora first on the direct prompt; three named Factors.ai. Bombora was named by fourteen of the fourteen models and Factors.ai by ten and Bombora carries 66 labels and Factors.ai 13, so the shares are not directly comparable.

Bombora

criticized challenger

Named in six categories this edition.

Factors.ai

accepted challenger

Named in eleven categories this edition.

First-choice share27%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate27%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 13; printed, not drawn.
Labels6613A 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 eight of the fourteen direct answers. Apollo.io vs Bombora · Apollo.io vs Factors.ai · Bombora vs Dealfront

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.
BomboraFirst choices, of fourteen modelsFactors.ai
Direct631 against Bombora
Paraphrase801 against Bombora
Comparative60
Budget-constrained019 against Bombora
Scale-constrained10
Negative007 against Bombora
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 Bombora and Factors.ai 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
GPT-6 Luna
Muse Glimmer 30B
Bombora Factors.ai first choice named as an alternative argued againstblank: not namedEach cell is one answer, Bombora on the left and Factors.ai on the right.

The direct prompt

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

Bombora first, Factors.ai an alternative

6 of 14 modelsFactors.ai 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
GPT-5.4 miniBombora alternatives: 6sense, G2 Buyer Intent
Grok 4.1 FastBombora alternatives: AdRoll ABM, G2 Buyer Intent, Intentsify, Warmly
DeepSeek V4 FlashBombora alternatives: G2 Buyer Intent, Intentsify, ZoomInfo
Qwen 3.7 FlashBombora alternatives: 6sense, Datanyze, Demandbase, ZoomInfo
GPT-6 LunaBombora alternatives: 6sense, G2 Buyer Intent

Factors.ai first, Bombora an alternative

3 of 14 modelsBombora was named in the answer but not as the choice, or not at all.
Mistral SmallDealfront, Factors.ai alternatives: 6sense, Lusha
GLM 4.7 FlashXFactors.ai alternatives: Bombora, Dealfront, G2 Buyer Intent
Muse Glimmer 30BDealfront, Factors.ai alternatives: Warmly

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashZoomInfo alternatives: Bombora, Cognism, Factors.ai, RB2B
Kimi K2Dealfront, ZoomInfo alternatives: Bombora, G2 Buyer Intent
MiniMax M2.56sense alternatives: Bombora, Dealfront, Demandbase, G2 Buyer Intent, Prospeo, TrustRadius, ZoomInfo Streaming Intent

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Perplexity Sonar6sense alternatives: Apollo.io, Dealfront, Demandbase
Llama 4 Maverickno first choice

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.
Bombora2%#9 of 14
Factors.ai2%#– of 14
The full small business standing →
Mid-marketThe figures above
Bombora leads by twenty points.
Bombora27%#2 of 13
Factors.ai7%#4 of 13
The full mid-market standing →
Enterprise
Bombora leads by fifteen points.
Bombora15%#3 of 9
Factors.ai0%#– 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. Five of six in this category shown.

“Bombora ($25K+/year) and 6sense ($60K+/year) are enterprise-level and not suitable for limited budgets” MiniMax M2.5 · budget prompt · hard negative
“Why Skip for Mid-Sized ... standalone (needs extra enrichment tools); too pricey.” Grok 4.1 Fast · paraphrase prompt · hard negative
“Bombora is the most recognized pure-play intent provider... Choose Bombora if you already have a strong sales/marketing stack and simply need the most trusted third-party intent signals” Kimi K2 · comparative prompt · first choice
“I would generally recommend Bombora if your priority is reliable third-party intent data and broad market coverage” Perplexity Sonar · paraphrase prompt · first choice
“Practical recommendation for a typical mid-sized B2B company: start with Bombora Company Surge for topic surge intent” Muse Glimmer 30B · paraphrase prompt · first choice

What the models said about Factors.ai

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

“If I had to pick one, I'd shortlist Factors.ai Lite: it's listed at $199/month after a trial” GPT-6 Luna · budget prompt · first choice
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.