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B2B intent data providers · November 2026 Edition

G2 Buyer Intent vs Cognism

Two of fourteen models named G2 Buyer Intent first on the direct prompt; zero named Cognism. G2 Buyer Intent was named by fourteen of the fourteen models and Cognism by nine and G2 Buyer Intent carries 46 labels and Cognism 13, so the shares are not directly comparable.

G2 Buyer Intent

accepted challenger

By G2, Chicago, United States, founded 2012. Named in ten categories this edition.

Cognism

accepted challenger

Named in eight categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate2%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 12; printed, not drawn.
Labels4613A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, G2 Buyer Intent reading right to left. Rank and label count are printed, not drawn.Bombora was named alongside these two in thirteen of the fourteen direct answers. Bombora vs G2 Buyer Intent · Bombora vs Cognism · Apollo.io vs G2 Buyer Intent

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.
G2 Buyer IntentFirst choices, of fourteen modelsCognism
Direct20
Paraphrase01
Comparative00
Budget-constrained001 against Cognism
Scale-constrained00
Negative011 against G2 Buyer Intent · 1 against Cognism
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 G2 Buyer Intent and Cognism stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 Cognism first choice named as an alternative argued againstblank: not namedEach cell is one answer, G2 Buyer Intent on the left and Cognism on the right.

The direct prompt

The plain question, one answer per model, grouped by where G2 Buyer Intent and Cognism stood in it.

G2 Buyer Intent first, Cognism not the choice

2 of 14 modelsCognism was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Bombora, G2 Buyer Intent
Kimi K2G2 Buyer Intent, ZoomInfo Streaming Intent alternatives: Apollo.io, Bombora, Warmly

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.
Gemini 3.5 FlashZoomInfo alternatives: Apollo.io, Bombora, Cognism, G2 Buyer Intent
Perplexity SonarBombora alternatives: Dealfront, G2 Buyer Intent, ZoomInfo
Grok 4.20Apollo.io alternatives: Bombora, Dealfront, Factors.ai, G2 Buyer Intent, ZoomInfo
Mistral SmallBombora alternatives: Apollo.io, G2 Buyer Intent, Warmly
DeepSeek V4 FlashAdRoll ABM alternatives: Bombora, G2 Buyer Intent, ZoomInfo + Intent Add-on
Llama 4 MaverickBombora alternatives: 6sense, Apollo.io, G2 Buyer Intent
MiniMax M2.5Bombora alternatives: G2 Buyer Intent, Salesmotion, Sona, TrustRadius
GPT-6 LunaBombora alternatives: 6sense, G2 Buyer Intent

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniBombora alternatives: 6sense, Demandbase
Qwen 3.7 FlashBombora, Factors.ai alternatives: Apollo.io, Prospeo
GLM 4.7 FlashXFactors.ai alternatives: Apollo.io, Dealfront, HubSpot Breeze Intelligence
Muse Glimmer 30BHubSpot Breeze Intelligence alternatives: 6sense, Bombora, Salesmotion, TechTarget Priority Engine, ZoomInfo

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
G2 Buyer Intent leads by seven points.
G2 Buyer Intent7%#3 of 13
Cognism0%#11 of 13
The full small business standing →
Mid-marketThe figures above
G2 Buyer Intent leads by two points.
G2 Buyer Intent4%#5 of 12
Cognism2%#8 of 12
The full mid-market standing →
Enterprise
The order flips: Cognism leads at enterprise.
Cognism4%#5 of 9
G2 Buyer Intent0%#6 of 9
The full enterprise standing →

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. 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 Cognism

No label in this category carried a quote.

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.