| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Email verification | GTM data and infrastructure | 4% | 4 of 65 | 8% | 49 | accepted challenger | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Email deliverability and testing tools | Marketing | 0% | 29 of 110 | 11% | 9 | under 10 labels · led by GlockApps at 34% | |
| CRM data quality and deduplication | Revenue operations | 0% | 26 of 99 | 25% | 4 | under 10 labels · led by Insycle at 43% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data enrichment | GTM data and infrastructure | 0% | 36 of 50 | 0% | 1 | under 10 labels · led by Apollo.io at 73% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Email verification | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 10 → 4 of 65 |
| Email deliverability | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 29 of 110, unchanged |
| CRM data quality | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 28 → 26 of 99 |
| Enrichment | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 34 → 36 of 50 |
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 | 2 | 3 | 0 | 5 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 3 | 1 | 2 | 6 |
| Perplexity Sonar | 1 | 2 | 2 | 0 | 5 |
| Grok 4.20 | 0 | 5 | 0 | 0 | 5 |
| Mistral Small | 1 | 3 | 1 | 1 | 6 |
| DeepSeek V4 Flash | 1 | 3 | 0 | 0 | 4 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 5 | 2 | 0 | 7 |
| Kimi K2 | 0 | 2 | 1 | 1 | 4 |
| GLM 4.7 FlashX | 1 | 3 | 1 | 1 | 6 |
| MiniMax M2.5 | 0 | 3 | 1 | 1 | 5 |
| GPT-6 Luna | 0 | 0 | 1 | 0 | 1 |
| Muse Glimmer 30B | 1 | 3 | 1 | 0 | 5 |
Verbatim evidence the judge attached to positive labels.
“The most consistently reliable tier (per multiple 2026 benchmarks) is NeverBounce, ZeroBounce, Hunter, and Bouncer” DeepSeek V4 Flash · Email verification · negative prompt · first choice
“NeverBounce and ZeroBounce are the most recommended for their accuracy, ease of use, and feature sets.” Mistral Small · Email verification · direct prompt · first choice
“If accuracy and advanced features are your priority: ZeroBounce or NeverBounce.” GLM 4.7 FlashX · Email verification · comparative prompt · first choice
“"NeverBounce leads on pure verification accuracy (98-99%)."” Muse Glimmer 30B · Email verification · comparative 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.
“After being acquired by ZoomInfo, NeverBounce has faced significant backlash... Price Hikes... Expiring Credits” Gemini 3.5 Flash · Email verification · negative prompt · hard negative
“Some tools specialize in only one aspect of data quality, such as email verification (e.g., NeverBounce)... Relying solely on such tools can leave other critical data issues unaddressed” Mistral Small · CRM data quality · negative prompt · soft negative
“NeverBounce and ZeroBounce - While popular, tests show they can produce different results for the same emails” Kimi K2 · Email deliverability · negative prompt · soft negative
“Premium services like NeverBounce will often expire your purchased credits after a set timeframe” Gemini 3.5 Flash · Email verification · budget 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 144 of the 161 answers that named NeverBounce and are not a share of its labels.
497 of the 497 domain citations in answers naming NeverBounce 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 | 146 | undated | Email verification, ABM | ||
| Comparison | 5 | undated | |||
| Glossary or explainer | 5 | undated | |||
| Report or ebook | 1 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
Every page neverbounce.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.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
What NeverBounce's own pages state, read September 28, 2026: neverbounce.com, neverbounce.com/pricing, neverbounce.com/case-studies, neverbounce.com/integrations. 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 NeverBounce'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 NeverBounce, 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 NeverBounce by email, built from the raw record of the edition. It shows: