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Data enrichment · October 2026 Edition

ZoomInfo vs Cognism

One of fourteen models named ZoomInfo first on the direct prompt; zero named Cognism. Both were named by all fourteen models and ZoomInfo carries 60 labels and Cognism 48, so the shares are not directly comparable.

ZoomInfo

criticized challenger

Vancouver, Washington, United States, founded 2000. Named in twenty-six categories this edition.

Cognism

accepted challenger

Named in eleven categories this edition.

First-choice share6%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate48%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 12; printed, not drawn.
Labels6048A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ZoomInfo reading right to left. Rank and label count are printed, not drawn.Apollo.io was named alongside these two in thirteen of the fourteen direct answers. Apollo.io vs ZoomInfo · Apollo.io vs Cognism · Clay vs ZoomInfo

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 data enrichment page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ZoomInfoFirst choices, of fourteen modelsCognism
Direct107 against ZoomInfo
Paraphrase215 against ZoomInfo
Comparative40
Budget-constrained004 against ZoomInfo · 1 against Cognism
Scale-constrained002 against ZoomInfo
Negative0211 against ZoomInfo · 2 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.

Across every category in the October 2026 Edition, ZoomInfo and Cognism were named in the same answer 360 times, of the 914 answers naming ZoomInfo and the 402 naming Cognism. In those answers Cognism took the first choice twenty times and ZoomInfo eighty-nine.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where ZoomInfo and Cognism 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
ZoomInfo Cognism first choice named as an alternative argued againstblank: not namedEach cell is one answer, ZoomInfo on the left and Cognism on the right.

The direct prompt

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

ZoomInfo first, Cognism not the choice

1 of 14 modelsCognism was named in the answer but not as the choice, or not at all.
Mistral SmallZoomInfo alternatives: Clay, HubSpot Breeze Intelligence, UpLead

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Apollo.io alternatives: Cleanlist, Cognism, ZoomInfo
GPT-5.4 miniApollo.io alternatives: Lusha, ZoomInfo
Gemini 3.5 FlashClay alternatives: Apollo.io, Cognism, HubSpot Breeze Intelligence, ZoomInfo
Perplexity SonarApollo.io alternatives: Cognism, UpLead
Grok 4.1 FastApollo.io alternatives: Cognism, UpLead
DeepSeek V4 FlashApollo.io alternatives: Cleanlist, Cognism, HubSpot Breeze Intelligence, Lusha
GLM 4.7 FlashXApollo.io alternatives: Clay, Cognism, HubSpot Breeze Intelligence
MiniMax M2.5Apollo.io, HubSpot Breeze Intelligence alternatives: ZoomInfo
GPT-6 LunaApollo.io alternatives: Clay, Cognism, HubSpot Breeze Intelligence
Muse Glimmer 30BApollo.io alternatives: Cognism, HubSpot Sales Hub

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickApollo.io alternatives: HubSpot Breeze Intelligence, UpLead
Qwen 3.7 FlashUpLead alternatives: Apollo.io, HubSpot Breeze Intelligence
Kimi K2Apollo.io alternatives: Clay, HubSpot Breeze Intelligence

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.
ZoomInfo0%#10 of 10
Cognism0%#9 of 10
The full small business standing →
Mid-marketThe figures above
ZoomInfo leads by four points.
ZoomInfo6%#3 of 12
Cognism2%#5 of 12
The full mid-market standing →
Enterprise
ZoomInfo leads by sixty points.
ZoomInfo62%#1 of 9
Cognism2%#5 of 9
The full enterprise standing →

What the models said about ZoomInfo

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

“For most mid-market companies, ZoomInfo is the top all-around choice due to its scale, features, and integration capabilities.” Mistral Small · direct prompt · first choice
“ZoomInfo is the safest pick for a mid-sized B2B company that wants a mature, scalable lead and account enrichment platform.” Perplexity Sonar · paraphrase prompt · first choice

What the models said about Cognism

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

“often Cognism — both are generally positioned as enterprise tools” GPT-5.4 mini · budget prompt · hard negative
“use European compliance-first data providers like Cognism or Dropcontact, which strictly adhere to GDPR” Gemini 3.5 Flash · negative prompt · first choice
“Cognism | GDPR/CCPA certified, human-verified mobile numbers” Kimi K2 · negative 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.