Small business=heldSince September 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 4% in September 2026
Inside the floor by 11 pointsRank 5 → 6 of 51
3 categories · RankedClearout
82Judge labels
2First choices
3Negative labels
13 / 14Models named it
3Categories
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
4% in Email verification for small business buyers
Rank 16 of 65 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 22 labels there were negative.
What the models named instead of Clearout →By buyer segmentRead the same way at every buyer size.
Small business7 of 56
4%27 labels
accepted challenger
Mid-market16 of 65
0%22 labels
accepted challenger
Enterprise16 of 52
0%15 labels
accepted challenger
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 Clearout 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.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Email verification | GTM data and infrastructure | 0% | 16 of 65 | 0% | 22 | accepted challenger | ▼−6Since September 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| CRM data quality and deduplication | Revenue operations | 0% | 38 of 99 | 0% | 1 | 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. |
| Email deliverability and testing tools | Marketing | 0% | 101 of 110 | 100% | 1 | under 10 labels · led by GlockApps at 34% |
Movement
Since September 2026, Clearout held within the floor in all three categories: no change cleared 11 points.
Best category · Email verification · by segment
Mid-market▼−6Since September 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 6% in September 2026
Inside the floor by 5 pointsRank 4 → 15 of 61
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 16 → 14 of 50
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Email verification | 6% | 0% | ▼−6Since September 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 16 of 65 |
| 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 20 → 38 of 99 |
| Email deliverability | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 101 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
By model
How each model treated Clearout across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Clearout across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 2 | 1 | 0 | 3 |
| Grok 4.20 | 0 | 4 | 0 | 0 | 4 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 2 | 0 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 3 | 0 | 3 |
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
Direct17 labelsNone
Paraphrase12 labels1
Comparative30 labels3not counted in share
Budget-constrained6 labels1
Scale-constrained9 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative82 labels in all, every segment counted; 2 of the 5 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.
“Clearout if your main priority is validation, multi-platform sync, and ongoing monitoring” Perplexity Sonar · CRM data quality · paraphrase prompt · alternative
“Clearout is an AI-powered data quality platform designed for GTM, sales, marketing teams” Claude Haiku 4.5 · Email verification · direct prompt · alternative
“Advanced tools (like BounceBan, ZeroBounce, or Clearout) use machine learning” Gemini 3.5 Flash · Email verification · comparative prompt · alternative
“Clearout delivers strong accuracy at 50% lower cost than premium options” Claude Haiku 4.5 · Email verification · comparative prompt · alternative
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.
“Avoid tools that are just list cleaners (ZeroBounce, Clearout) unless you only need one-off hygiene.” Kimi K2 · Email deliverability · scale prompt · soft negative
Named alongside
The products named in the same answers as Clearout, over the 82 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Clearout was named but was not.ShowHide
Named alongside
The products named in the same answers as Clearout, over the 82 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Clearout was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Clearout. 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 78 of the 82 answers that named Clearout and are not a share of its labels.
Domains cited
usebouncer.com38
kickbox.com35
hunter.io31
clearout.ioYour site28
pipeline.zoominfo.com28
sender.net25
sparkle.io24
zerobounce.net24
prospeo.io23
overloop.com22
250 of the 278 domain citations in answers naming Clearout came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
clearout.io is not in Google's top ten for any of the category's searches. In the answers, Clearout takes 0% of first choices and ZeroBounce takes 42%.ShowHide
Search and answers
clearout.io is not in Google's top ten for any of the category's searches. In the answers, Clearout takes 0% of first choices and ZeroBounce takes 42%.
ShowHideIn search
Google, US estimatesPosition 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
- 1,600 a month (“clearout”)
- AI search demand for its name, est.
- 49 a month
- Organic visits to its site
- about 10,298 a month
- Searches its site ranks for
- 3,215 · 80 in the top three
- Sites linking to it
- 2,613
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 16 of 65 in email verification
Segment leader
42%
ZeroBounce
- First choices
- 2 across its categories
- Named in
- 82 answers
- Its own site cited
- in 78 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
What it publishes
ShowHideAddresses on clearout.io
456
subdomains included
Content
296
counted in the table below
Documentation
104
Product · Integration
1 · 15
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 255 | undated | Email verification, CRM | ||
| Comparison | 32 | undated | Email verification | ||
| Template or tool | 6 | 0 | 2026-03-12 | Email verification | |
| Report or ebook | 2 | undated | |||
| Glossary or explainer | 1 | undated |
Most recent
- 2026-03-12Chrome extension template or tool
- 2026-03-12Wordpress plugin template or tool
How it is countedHide how it is counted
Every page clearout.io 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 Clearout
What the judge wrote, as written, with how often. The vendor table decides that these count as Clearout; a claim can dispute any of them.
Clearout.io 2
Follow Clearout
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
Clearout is its own company.ShowHide
The company
Clearout is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Clearout is a SaaS platform for email verification, email finding, prospecting, and form validation that delivers up to 99.73% accuracy and helps businesses validate and enrich leads, reduce bounce rates, and improve deliverability.
- For
- businesses
- Price stated
- Transparent & flexible pricing to support pay-per-use or recurring clearout.io
- Free plan or trial
- No card required | 100 free credits clearout.io
- Certifications
- GDPRSOC 2 Type IIISO 27001:2022HubSpot Certifiedsoc2IAF certification validationGDPR certifiactionISO & SOC 2 Type II Certified
- Customers named
- SigParserLogic InboundPearl LemonFreelancingMartal GroupDataCaptive
- Not stated on the pages read
- Starting price, integrations, hosting
What Clearout's own pages state, read September 28, 2026: clearout.io, clearout.io/pricing, trust.clearout.io, clearout.io/use-cases/lead-generation-solution, clearout.io/partners. 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 Clearout'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 Clearout, 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 Clearout by email, built from the raw record of the edition. It shows:
- where Clearout 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 Clearout, 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.