Clearout vs Kickbox
Two of twelve models named Clearout first on the direct prompt; one named Kickbox. Clearout was named by ten of the twelve models and Kickbox by twelve and Clearout carries 33 labels and Kickbox 27, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
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 email verification page.
By framing
ClearoutFirst choices, of twelve modelsKickbox
Across every category in the September 2026 Edition, Clearout and Kickbox were named in the same answer fifty-two times, of the 101 answers naming Clearout and the 88 naming Kickbox. In those answers Kickbox took the first choice four times and Clearout four.
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 4.1 Fast | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | |
Clearout Kickbox first choice named as an alternative argued againstblank: not namedEach cell is one answer, Clearout on the left and Kickbox on the right.The direct prompt
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Clearout first, Kickbox an alternative
1 of 12 modelsKickbox was named in the answer but not as the choice, or not at all.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.Neither was named
6 of 12 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
Clearout4%#4 of 10Kickbox4%#5 of 10Kickbox4%#5 of 9Clearout0%#8 of 9What the models said about Clearout
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Clearout: 94.1% real accuracy” Kimi K2 · negative prompt · soft negative
“The best email verification service for a mid-market B2B company is Hunter, Clearout, or Kickbox” Llama 4 Maverick · direct prompt · first choice
“For most mid-market B2B companies, I'd recommend starting with Clearout” GLM 4.7 FlashX · direct prompt · first choice
“would be Hunter, Clearout, or Zerobounce” Llama 4 Maverick · paraphrase prompt · first choice
What the models said about Kickbox
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“The best email verification service for a mid-market B2B company is Hunter, Clearout, or Kickbox” Llama 4 Maverick · direct prompt · first choice
“or Kickbox if you want point-of-entry validation integrated into your existing tech stack.” Claude Haiku 4.5 · paraphrase prompt · first choice
“include Bouncer, ZeroBounce, Kickbox, and NeverBounce” 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.