MillionVerifier is an email verification service for email marketing teams that need to clean their lists · millionverifier.com ↗
The standing depends on who is buying. Every model is asked the same questions for each company size.
ZeroBounce is first at 30%.
ZeroBounce is first at 47%. 0 of 14 models made it the first choice when asked directly.
ZeroBounce is first at 69%.
“Best if budget is a concern—very affordable pay-as-you-go... though it lacks some of Bouncer's advanced deliverability insights.”Grok 4.20 · Paraphrase question · alternative
“MillionVerifier offers pay-as-you-go pricing from $37 for 10,000 verifications, making it suitable for small batches.”Claude Haiku 4.5 · Budget-constrained question · alternative
“show the lowest $/1k numbers if you only need bulk cleaning and can tolerate a minimal free tier”Muse Glimmer 30B · Budget-constrained question · alternative
“MillionVerifier or DeBounce offer the strongest value for high-volume list cleaning”Perplexity Sonar · Comparative question · alternative
“14% higher bounce rates than industry averages" and "slower API response times, especially during peak usage”Muse Glimmer 30B · Negative question · warning
“Frequently singled out for documented false positives and billing complaints”MiniMax M2.5 · Negative question · warning
“Common false positives in tests (e.g., flagging good Yahoo/Gmail addresses as bad), leading to lost valid contacts.”Grok 4.20 · Negative question · warning
“Frequently singled out for false positives and billing complaints. Users are advised to proceed with caution”Mistral Small · Negative question · warning
The products named in the same answers as MillionVerifier, over the 51 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 39 | 15 | View → | |
| 34 | 8 | View → | |
| 32 | 2 | View → | |
| 23 | 1 | View → | |
| 16 | 2 | View → | |
| 16 | 1 | View → | |
| 15 | 3 | View → | |
| 14 | 0 | View → | |
| 10 | 2 | View → | |
| 7 | 2 | View → |
What the models named instead of MillionVerifier →
A side-by-side page exists where both products are among a category's top eight.
Stated on MillionVerifier's own site, not checked by Gane.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 51 of the 51 answers that named MillionVerifier and are not a share of its labels.
158 of the 170 domain citations in answers naming MillionVerifier came from a third party's page. Twelve were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 1 | 0 | 1 | 2 |
| Grok 4.20 | 0 | 1 | 0 | 1 | 2 |
| Mistral Small | 0 | 1 | 0 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 3 | 0 | 1 | 4 |
| Llama 4 Maverick | 0 | 1 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 1 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 1 | 0 | 1 | 2 |
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 13 | 11 | 2026-09-17 | Email verification | |
| Comparison | 1 | 1 | 2026-08-10 | Email verification |
Every page millionverifier.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.