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GTM AI Index
Index › Products › NeverBounce · October 2026 Edition
4 categories · Ranked

NeverBounce

161Judge labels
7First choices
15Negative labels
14 / 14Models named it
4Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
9% in Email verification for enterprise buyers
Rank 4 of 65 in the mid-market standingaccepted challenger
1 of 14 models made it the first choice on the direct prompt; 8% of its 49 labels there were negative.
What the models named instead of NeverBounce →
By buyer segmentRead the same way at every buyer size.
In email verification · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named NeverBounce for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Email verificationGTM data and infrastructure4%4 of 658%49accepted 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 toolsMarketing0%29 of 11011%9under 10 labels · led by GlockApps at 34%
CRM data quality and deduplicationRevenue operations0%26 of 9925%4under 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 enrichmentGTM data and infrastructure0%36 of 500%1under 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.

Movement

Since September 2026, NeverBounce held within the floor in all four categories: no change cleared 11 points.

Best category · Email verification · by segment

Small business▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 4% in September 2026
Inside the floor by 9 pointsRank 8 → 10 of 51
Mid-market▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 2% in September 2026
Inside the floor by 9 pointsRank 10 → 4 of 61
Enterprise▲+2Since September 2026: 6% → 8%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
8%from 6% in September 2026
Inside the floor by 9 pointsRank 2 → 3 of 50

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Email verification2%4%▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 10 → 4 of 65
Email deliverability0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 29 of 110, unchanged
CRM data quality0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 28 → 26 of 99
Enrichment0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 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

By model

How each model treated NeverBounce across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502305
GPT-5.4 mini01102
Gemini 3.5 Flash03126
Perplexity Sonar12205
Grok 4.2005005
Mistral Small13116
DeepSeek V4 Flash13004
Llama 4 Maverick00202
Qwen 3.7 Flash05207
Kimi K202114
GLM 4.7 FlashX13116
MiniMax M2.503115
GPT-6 Luna00101
Muse Glimmer 30B13105

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct27 labels2
Paraphrase29 labels3
Comparative43 labels3not counted in share
Budget-constrained23 labels1
Scale-constrained16 labels1
Negative23 labels4not counted in share
First choiceAlternativeMentionNegative161 labels in all, every segment counted; 7 of the 14 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

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

And against it

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

Named alongside

The products named in the same answers as NeverBounce, over the 161 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and NeverBounce was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Kickbox79 of 1615Not among the top eight
Clearout47 of 1612Not among the top eight
Emailable42 of 1612Not among the top eight
GlockApps14 of 1619Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named NeverBounce. A fact about retrieval, not a lever on the model.

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.

Domains cited

usebouncer.com68
kickbox.com64
sender.net54
overloop.com50
hunter.io45
zerobounce.net45
pipeline.zoominfo.com44
instantly.ai43
prospeo.io43
sparkle.io41

497 of the 497 domain citations in answers naming NeverBounce came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

neverbounce.com is not in Google's top ten for any of the category's searches. In the answers, NeverBounce takes 4% of first choices and ZeroBounce takes 42%.
ShowHide

In search

Google, US estimates
Position for “email verification service”
–
not in the top ten
Position for “best email verification service”
–
not in the top ten
Searches for its name, Google
8,100 a month (“neverbounce”)
AI search demand for its name, est.
64 a month
Organic visits to its site
about 73,301 a month
Searches its site ranks for
20,277 · 329 in the top three
Sites linking to it
5,683
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
27 ads · 24 text, 2 image, 1 video · 16 shown in the last 30 days

First shown September 2023, as DiscoverOrg, LLC, verified.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
4%
rank 4 of 65 in email verification
Segment leader
42%
ZeroBounce
First choices
7 across its categories
Named in
161 answers
Its own site cited
in 144 of the answers that named it

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.

What it publishes

ShowHide
Addresses on neverbounce.com
306
subdomains included
Content
159
counted in the table below
Documentation
34
Product · Integration
0 · 84
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog146undatedEmail verification, ABM
Comparison5undated
Glossary or explainer5undated
Report or ebook1undated
Template or tool1undated
News or press1undated
How it is countedHide how it is counted

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.

Names read as NeverBounce

What the judge wrote, as written, with how often. The vendor table decides that these count as NeverBounce; a claim can dispute any of them.
NeverBounce (by ZoomInfo) 2Neverbounce 1

Follow NeverBounce

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.

The company

NeverBounce.
ShowHide

On record

Wikidata
Headquarters
Vancouver
Founded
2014

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

In its own words

Stated by the vendor, not checked
Positioning
Email Verifier & Email List Cleaner
For
small campaigns, one-time cleanups, and testing; teams running serious outreach, automated signups, and AI-driven GTM; companies with complex stacks, security needs, or custom workflows
Price stated
Pay as you go or choose a monthly plan. neverbounce.com
Starting price
8 neverbounce.com/pricing
Free plan or trial
Start with ten free verification credits. neverbounce.com
Integrations claimed
80 neverbounce.com
Customers named
iContact
Not stated on the pages read
Certifications, hosting

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.

Is this your product?

Claim this page

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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for NeverBounce by email, built from the raw record of the edition. It shows:

  • where NeverBounce is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name NeverBounce, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at neverbounce.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.