| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Email verification | GTM data and infrastructure | 9% | 3 of 65 | 30% | 20 | criticized challenger | ▲+8Since September 2026: 0% → 8%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Email deliverability and testing tools | Marketing | 0% | 70 of 110 | 0% | 1 | under 10 labels · led by GlockApps at 34% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Email verification | 0% | 8% | ▲+8Since September 2026: 0% → 8%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 47 → 3 of 65 |
| Email deliverability | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 70 of 110, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 2 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 1 | 3 | 0 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 1 | 1 | 2 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 1 | 1 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |
Verbatim evidence the judge attached to positive labels.
“Choose MillionVerifier if you have a very large list (e.g., 10k+) to clean at once and want the lowest bulk price.” Qwen 3.7 Flash · Email verification · budget prompt · first choice
“MillionVerifier – Best Overall Value ... If you need the absolute lowest cost: Go with MillionVerifier” DeepSeek V4 Flash · Email verification · budget prompt · first choice
“Start with MillionVerifier – 100 free credits to test, then pay-as-you-go with no expiration” Kimi K2 · Email verification · budget prompt · first choice
“For most budget-conscious companies, I'd start with MillionVerifier for bulk list cleaning.” GPT-6 Luna · Email verification · budget prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“MillionVerifier is the one most often singled out with documented false positives and billing complaints — proceed with caution there.” DeepSeek V4 Flash · Email verification · negative prompt · hard negative
“MillionVerifier and EmailListVerify offer the lowest cost per 10k emails but lack advanced deliverability features” Muse Glimmer 30B · Email verification · budget prompt · soft negative
“Budget/low-cost options like EmailListVerify, MillionVerifier, and DeBounce - Approach with caution” Grok 4.20 · Email verification · negative prompt · soft negative
“Best on a tight budget, with a price of ~$6/10K, but with lower catch-all accuracy.” Llama 4 Maverick · Email verification · paraphrase prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 52 of the 53 answers that named MillionVerifier and are not a share of its labels.
189 of the 205 domain citations in answers naming MillionVerifier came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| 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.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What MillionVerifier's own pages state, read September 28, 2026: millionverifier.com, millionverifier.com/solutions. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when MillionVerifier's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as MillionVerifier, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for MillionVerifier by email, built from the raw record of the edition. It shows:
MillionVerifier is among the products AI models recommend first in Email verification this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.