Clay vs Cognism
One of fourteen models named Clay first on the direct prompt; zero named Cognism. Both were named by all fourteen models and Clay carries 37 labels and Cognism 48, so the shares are not directly comparable.
Named in eleven categories this edition.
Named in eleven categories this edition.
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
ClayFirst choices, of fourteen modelsCognism
Across every category in the October 2026 Edition, Clay and Cognism were named in the same answer 104 times, of the 234 answers naming Clay and the 402 naming Cognism. In those answers Cognism took the first choice eight times and Clay seven.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | |
Clay Cognism first choice named as an alternative argued againstblank: not namedEach cell is one answer, Clay on the left and Cognism on the right.The direct prompt
Clay first, Cognism an alternative
1 of 14 modelsCognism was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.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
What the models said about Clay
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“multi-provider setups built with tools such as Apollo’s waterfall feature or Clay... may make it harder to trace where a particular field came from” GPT-6 Luna · negative prompt · soft negative
“Don't adopt Clay unless you have technical staff to manage workflows.” DeepSeek V4 Flash · negative prompt · soft negative
“requires 3 to 4 additional tools and has unpredictable credit costs” Claude Haiku 4.5 · comparative prompt · soft negative
“Choose Clay if you have a modern, tech-savvy sales/marketing team ... wants the best possible email-finding coverage” Gemini 3.5 Flash · paraphrase prompt · first choice
“Clay (Best for Workflow Orchestration & Waterfall Enrichment): Clay is a market leader for modern GTM teams.” Gemini 3.5 Flash · scale prompt · first choice
“If your strategy is personalized outbound and you want maximum data coverage: Go with Clay.” Gemini 3.5 Flash · comparative 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
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.