GTM AI Index
Index GTM data and infrastructure Enrichment › Clay vs Snov.io
Data enrichment · September 2026 Edition

Clay vs Snov.io

One of twelve models named Clay first on the direct prompt; zero named Snov.io. Clay was named by eleven of the twelve models and Snov.io by nine and Clay carries 41 labels and Snov.io 15, so the shares are not directly comparable.

Clay

accepted challenger

Named in nine categories this edition.

Snov.io

accepted challenger

Named in five categories this edition.

First-choice share9%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate20%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 10; printed, not drawn.
Labels4115A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Clay reading right to left. Rank and label count are printed, not drawn.Apollo.io was named alongside these two in eleven of the twelve direct answers. Apollo.io vs Clay · Apollo.io vs Snov.io · Clay vs Amplemarket

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
ClayFirst choices, of twelve modelsSnov.io
Direct10
Paraphrase101 against Clay
Comparative401 against Clay
Budget-constrained012 against Clay
Scale-constrained20
Negative004 against Clay
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Clay and Snov.io 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
Clay Snov.io first choice named as an alternative argued againstblank: not namedEach cell is one answer, Clay on the left and Snov.io on the right.

The direct prompt

The plain question, one answer per model, grouped by where Clay and Snov.io stood in it.

Clay first, Snov.io not the choice

1 of 12 modelsSnov.io was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashApollo.io, Clay alternatives: Cognism, HubSpot Breeze Intelligence

Neither was the first choice, one was named

4 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarApollo.io alternatives: Clay, Cognism, UpLead, ZoomInfo
Grok 4.1 FastApollo.io alternatives: Clay, Cleanlist, UpLead
DeepSeek V4 FlashCleanlist alternatives: Apollo.io, Clay, Snov.io, UpLead
GLM 4.7 FlashXApollo.io alternatives: Clay, Cognism, Lusha, UpLead

Neither was named

7 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Amplemarket, Apollo.io, Cognism
GPT-5.4 miniApollo.io alternatives: Clearbit/HubSpot-native enrichment, Cognism
Mistral SmallApollo.io alternatives: Cleanlist, UpLead
Llama 4 Maverickno first choice
Qwen 3.7 FlashApollo.io alternatives: Cognism, HubSpot Breeze Intelligence, UpLead
Kimi K2Apollo.io alternatives: Cleanlist, Cognism, UpLead
MiniMax M2.5Apollo.io, Cleanlist alternatives: Amplemarket, Cognism, 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
Snov.io leads by ten points.
Snov.io12%#2 of 10
Clay2%#5 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Clay leads at mid-market.
Clay9%#2 of 10
Snov.io2%#6 of 10
The full mid-market standing →
Enterprise
Clay leads by seven points.
Clay7%#4 of 9
Snov.io0%#– of 9
The full enterprise standing →

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 six in this category shown.

“Clay provides maximum enrichment flexibility across 100+ data providers but requires a dedicated RevOps engineer to manage it.” Llama 4 Maverick · comparative prompt · soft negative
“Accuracy varies because it inherits each underlying provider's quality, and costs can escalate quickly” DeepSeek V4 Flash · negative prompt · soft negative
“It has a steep learning curve... you can burn through your monthly credits very quickly.” Gemini 3.5 Flash · budget prompt · soft negative
“an orchestrator (like Clay) that lets you stack databases... Tools like Clay and Amplemarket excel at this "AI-agent" level of custom enrichment.” Gemini 3.5 Flash · scale prompt · first choice
“Clay chains together over 150 different data providers... Tools like Clay have shifted the market toward "waterfall" routing” Gemini 3.5 Flash · comparative prompt · first choice
“1. Clay — Best for: Tech-forward teams who want the highest data accuracy via "Waterfall" Enrichment” Gemini 3.5 Flash · direct prompt · first choice

What the models said about Snov.io

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

“Snov.io – Best Overall Value ... offers the best all-around value with email verification, enrichment, and outreach tools bundled together” Kimi K2 · budget prompt · first choice
“if your budget is truly under $40/month, Snov.io at $39/month is the best entry point” DeepSeek V4 Flash · budget prompt · alternative
“lowest-cost alternatives worth considering are Snov.io (from about $39/month)” Perplexity Sonar · budget prompt · alternative
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.