Email verification · November 2026 Edition
EmailListVerify vs Clearout
Zero of fourteen models named EmailListVerify first on the direct prompt; zero named Clearout. EmailListVerify was named by nine of the fourteen models and Clearout by nine and EmailListVerify carries 16 labels and Clearout 18, so the shares are not directly comparable.
Named in two categories this edition.
Named in three categories this edition.
First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 11; printed, not drawn.
Labels1618A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, EmailListVerify 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 EmailListVerify · ZeroBounce vs Clearout · DeBounce vs EmailListVerify
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.
EmailListVerifyFirst choices, of fourteen modelsClearout
Direct00
Paraphrase00
Comparative00
Budget-constrained31
Scale-constrained00
Negative003 against EmailListVerify
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where EmailListVerify and Clearout stood in it.
| 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 | | |
EmailListVerify Clearout first choice named as an alternative argued againstblank: not namedEach cell is one answer, EmailListVerify on the left and Clearout on the right.The direct prompt
The plain question, one answer per model, grouped by where EmailListVerify and Clearout stood in it.
Neither was the first choice, one was named
2 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
MiniMax M2.5ZeroBounce alternatives: Clearout, Kickbox
Neither was named
12 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
Grok 4.20ZeroBounce alternatives: Bouncer, Emailable, Hunter Email Verifier, NeverBounce
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
Kimi K2ZeroBounce alternatives: Bouncer, Emailable, Kickbox
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
Level: the same share of first choices.
EmailListVerify2%#9 of 11Clearout2%#8 of 11Mid-marketThe figures above
EmailListVerify leads by four points.
EmailListVerify7%#4 of 11Clearout2%#8 of 11Enterprise
Level: the same share of first choices.
EmailListVerify0%#– of 9Clearout0%#8 of 9What the models said about EmailListVerify
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“I would be more cautious using it as the only gatekeeper for outbound campaigns tied closely to domain reputation” Muse Glimmer 30B · negative prompt · soft negative
“Included in user tests with variable accuracy... Check for your specific email domains.” Grok 4.20 · negative prompt · soft negative
“Email List Verify | Inconsistent results - "clean" emails still bouncing” Kimi K2 · negative prompt · soft negative
“For most budget-conscious companies, EmailListVerify offers the absolute lowest cost per verified email” DeepSeek V4 Flash · budget prompt · first choice
“EmailListVerify is the best starting point for occasional or bulk list cleaning” Perplexity Sonar · budget 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
ZeroBounce vs EmailListVerifyZeroBounce vs ClearoutDeBounce vs EmailListVerifyDeBounce vs ClearoutBouncer vs EmailListVerifyBouncer vs ClearoutEmailListVerify vs MyEmailVerifierEmailListVerify vs EmailableEmailListVerify vs NeverBounceMyEmailVerifier vs ClearoutEmailable vs ClearoutNeverBounce vs ClearoutAll twenty-eight head-to-head pages and the full email verification standing
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.