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Data enrichment · October 2026 Edition

Cognism vs UpLead

Zero of fourteen models named Cognism first on the direct prompt; one named UpLead. Cognism was named by fourteen of the fourteen models and UpLead by eight and Cognism carries 48 labels and UpLead 14, so the shares are not directly comparable.

Cognism

accepted challenger

Named in eleven categories this edition.

UpLead

accepted challenger

Los Angeles, United States, founded 2017. Named in six categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%7%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.
Labels4814A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Cognism 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 Cognism · Apollo.io vs UpLead · Clay vs Cognism

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.
CognismFirst choices, of fourteen modelsUpLead
Direct01
Paraphrase10
Comparative00
Budget-constrained001 against Cognism
Scale-constrained00
Negative202 against Cognism · 1 against UpLead
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, Cognism and UpLead were named in the same answer forty-six times, of the 402 answers naming Cognism and the 107 naming UpLead. In those answers UpLead took the first choice four times and Cognism seven.

Every model, every framing

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

The direct prompt

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

UpLead first, Cognism not the choice

1 of 14 modelsCognism was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashUpLead alternatives: Apollo.io, HubSpot Breeze Intelligence

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
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
Mistral SmallZoomInfo alternatives: Clay, HubSpot Breeze Intelligence, UpLead
DeepSeek V4 FlashApollo.io alternatives: Cleanlist, Cognism, HubSpot Breeze Intelligence, Lusha
Llama 4 MaverickApollo.io alternatives: HubSpot Breeze Intelligence, UpLead
GLM 4.7 FlashXApollo.io alternatives: Clay, Cognism, HubSpot Breeze Intelligence
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.
GPT-5.4 miniApollo.io alternatives: Lusha, ZoomInfo
Kimi K2Apollo.io alternatives: Clay, HubSpot Breeze Intelligence
MiniMax M2.5Apollo.io, HubSpot Breeze Intelligence alternatives: 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
Level: the same share of first choices.
Cognism0%#9 of 10
UpLead0%#7 of 10
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Cognism2%#5 of 12
UpLead2%#8 of 12
The full mid-market standing →
Enterprise
Cognism leads by two points.
Cognism2%#5 of 9
UpLead0%#– of 9
The full enterprise standing →

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

What the models said about UpLead

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

“Limited coverage/filters; varying accuracy across industries; poor support.” Grok 4.1 Fast · negative prompt · soft negative
“Top Recommendation: UpLead” Qwen 3.7 Flash · direct 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.