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Email verification · November 2026 Edition

Emailable vs Clearout

Zero of fourteen models named Emailable first on the direct prompt; zero named Clearout. Emailable was named by thirteen of the fourteen models and Clearout by nine and Emailable carries 25 labels and Clearout 18, so the shares are not directly comparable.

Emailable

accepted challenger

Montebello, United States, founded 2017. Named in one category this edition.

Clearout

accepted challenger

Named in three categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate8%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 11; printed, not drawn.
Labels2518A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Emailable reading right to left. Rank and label count are printed, not drawn.ZeroBounce was named alongside these two in thirteen of the fourteen direct answers. ZeroBounce vs Emailable · ZeroBounce vs Clearout · DeBounce vs Emailable

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 email verification page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
EmailableFirst choices, of fourteen modelsClearout
Direct00
Paraphrase00
Comparative10
Budget-constrained211 against Emailable
Scale-constrained00
Negative001 against Emailable
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 November 2026 Edition, Emailable and Clearout were named in the same answer thirteen times, of the 75 answers naming Emailable and the 51 naming Clearout. In those answers Clearout took the first choice two times and Emailable zero.

Every model, every framing

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

The direct prompt

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

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniZeroBounce alternatives: Apollo.io, Clearout, Kickbox
Grok 4.20ZeroBounce alternatives: Bouncer, Emailable, Hunter Email Verifier, NeverBounce
Kimi K2ZeroBounce alternatives: Bouncer, Emailable, Kickbox
MiniMax M2.5ZeroBounce alternatives: Clearout, Kickbox

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice
Gemini 3.5 FlashZeroBounce alternatives: Bouncer, Kickbox, NeverBounce
Perplexity SonarZeroBounce alternatives: Bouncer, Kickbox, Prospeo
Mistral SmallZeroBounce alternatives: Bouncer, MillionVerifier
DeepSeek V4 FlashZeroBounce alternatives: Bouncer, Kickbox, NeverBounce
Llama 4 MaverickZeroBounce alternatives: Hunter Email Verifier, Mailercloud Email Verifier
Qwen 3.7 FlashZeroBounce alternatives: Bouncer, Kickbox, NeverBounce
GLM 4.7 FlashXZeroBounce alternatives: Bouncer, Kickbox
GPT-6 LunaZeroBounce alternatives: Kickbox, NeverBounce
Muse Glimmer 30BZeroBounce alternatives: Bouncer, Kickbox, NeverBounce

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
Emailable leads by four points.
Emailable6%#5 of 11
Clearout2%#8 of 11
The full small business standing →
Mid-marketThe figures above
Emailable leads by two points.
Emailable4%#6 of 11
Clearout2%#8 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Emailable0%#7 of 9
Clearout0%#8 of 9
The full enterprise standing →

What the models said about Emailable

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

“Very low Trustpilot score (~1.9/5)... Avoid for reliability.” Grok 4.20 · negative prompt · hard negative
“Kickbox or Emailable, but they generally cost more than the budget-focused options” Perplexity Sonar · budget prompt · soft negative
“Emailable is highlighted as the best budget-friendly email verification service for companies with a limited budget” Mistral Small · budget prompt · first choice
“Best Overall Accuracy: Emailable (99%) or ZeroBounce (99%)” Kimi K2 · comparative prompt · first choice
“Emailable or EmailListVerify stand out as the best options” Grok 4.20 · budget prompt · first choice

What the models said about Clearout

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

“Clearout and DeBounce are the two names most reviewers put at the top for limited-budget companies” Muse Glimmer 30B · budget prompt · first choice
“consider established platforms such as ZeroBounce, NeverBounce, Kickbox, Emailable, Clearout, or BriteVerify” Gemini 3.5 Flash · negative prompt · alternative
“a strong option if you want real-time verification embedded into forms and pipelines” GPT-5.4 mini · direct 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.