Small business▼−10Since September 2026: 19% → 9%, −10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
9%from 19% in September 2026
Inside the floor by 1 pointRank 2 → 3 of 87
3 categories · RankedCleanlist
99Judge labels
13First choices
0Negative labels
11 / 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
10% in CRM data quality for mid-market buyers
Rank 4 of 99 in the mid-market standingaccepted challenger
3 of 14 models made it the first choice on the direct prompt; 0% of its 28 labels there were negative.
What the models named instead of Cleanlist →By buyer segmentRead the same way at every buyer size.
Small business3 of 96
9%31 labels
accepted challenger
Mid-market4 of 99
10%28 labels
accepted challenger
Enterprise21 of 103
0%12 labels
accepted challenger
In crm data quality · 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 Cleanlist 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 |
|---|---|---|---|---|---|---|---|
| CRM data quality and deduplication | Revenue operations | 10% | 4 of 99 | 0% | 28 | accepted challenger | ▼−7Since September 2026: 19% → 12%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data enrichment | GTM data and infrastructure | 0% | 11 of 50 | 0% | 9 | under 10 labels · led by Apollo.io at 73% | ▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Email verification | GTM data and infrastructure | 0% | 17 of 65 | 0% | 3 | under 10 labels · led by ZeroBounce at 42% | =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, Cleanlist held within the floor in all three categories: no change cleared 11 points.
Best category · CRM data quality · by segment
Mid-market▼−7Since September 2026: 19% → 12%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
12%from 19% in September 2026
Inside the floor by 4 pointsRank 2 → 3 of 90
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 9 → 20 of 93
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CRM data quality | 19% | 12% | ▼−7Since September 2026: 19% → 12%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 4 of 99 |
| Enrichment | 4% | 0% | ▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 5 → 11 of 50 |
| Email verification | 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 26 → 17 of 65 |
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 Cleanlist 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 Cleanlist 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 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.20 | 1 | 1 | 1 | 0 | 3 |
| Mistral Small | 2 | 1 | 0 | 0 | 3 |
| DeepSeek V4 Flash | 1 | 4 | 2 | 0 | 7 |
| Llama 4 Maverick | 1 | 1 | 2 | 0 | 4 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 4 | 0 | 0 | 4 |
| MiniMax M2.5 | 0 | 4 | 0 | 0 | 4 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 3 | 2 | 0 | 6 |
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
Direct19 labels3
Paraphrase16 labels4
Comparative27 labels7not counted in share
Budget-constrained16 labels5
Scale-constrained8 labels1
Negative13 labels6not counted in share
First choiceAlternativeMentionNegative99 labels in all, every segment counted; 13 of the 26 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.
“Cleanlist stands out as the best overall solution due to its affordability, ease of use, and comprehensive feature set” Mistral Small · CRM data quality · direct prompt · first choice
“the best data quality tools for RevOps and CRM teams in 2026 are Cleanlist for verified enrichment and cleansing” Muse Glimmer 30B · CRM data quality · comparative prompt · first choice
“The best CRM data quality and deduplication tool for a mid-market B2B company is Cleanlist” Llama 4 Maverick · CRM data quality · direct prompt · first choice
“Recommendations: Start with free tiers (e.g., Cleanlist for HubSpot/SF sync)” Grok 4.20 · CRM data quality · negative 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.
No model argued against it.
Named alongside
The products named in the same answers as Cleanlist, over the 99 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Cleanlist was named but was not.ShowHide
Named alongside
The products named in the same answers as Cleanlist, over the 99 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Cleanlist 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 Cleanlist. 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 99 of the 99 answers that named Cleanlist and are not a share of its labels.
Domains cited
cleanlist.aiYour site99
pipeline.zoominfo.com53
cognism.com47
g2.com38
prospeo.io38
integrate.io36
hevodata.com31
syncmatters.com27
clearout.io24
findymail.com18
312 of the 411 domain citations in answers naming Cleanlist came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
cleanlist.ai ranks 3 on Google for the category's searches. In the answers, Cleanlist takes 10% of first choices and Insycle takes 43%.ShowHide
Search and answers
cleanlist.ai ranks 3 on Google for the category's searches. In the answers, Cleanlist takes 10% of first choices and Insycle takes 43%.
ShowHideIn search
Google, US estimatesPosition for “crm data quality and deduplication tool”
–
not in the top ten
Position for “best crm data quality and deduplication tool”
3
- Searches for its name, Google
- 1,900 a month (“cleanlist”)
- AI search demand for its name, est.
- 0 a month
- Organic visits to its site
- about 16,279 a month
- Searches its site ranks for
- 2,419 · 120 in the top three
- Sites linking to it
- 440
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
10%
rank 4 of 99 in CRM data quality
Segment leader
43%
Insycle
- First choices
- 13 across its categories
- Named in
- 99 answers
- Its own site cited
- in 99 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 cleanlist.ai
653
subdomains included
Content
363
counted in the table below
Documentation
106
Product · Integration
75 · 6
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 176 | 67 | 2026-09-22 | Enrichment, CRM | |
| Glossary or explainer | 83 | 0 | 2026-06-30 | Enrichment, Email verification | |
| Comparison | 46 | 11 | 2026-09-07 | Email verification, ABM | |
| Template or tool | 41 | 18 | 2026-07-17 | CRM, Enrichment | |
| Report or ebook | 14 | undated | CRM | ||
| Case study | 3 | 0 | 2026-03-15 |
Most recent
- 2026-09-222026 09 22 apollo io review blog
- 2026-09-222026 09 22 clay waterfall enrichment actions blog
- 2026-09-222026 09 22 instantly review blog
- 2026-09-222026 09 22 seamless ai review blog
- 2026-09-222026 09 22 zoominfo review blog
- 2026-09-072026 09 07 abm platform alternatives comparison
How it is countedHide how it is counted
Every page cleanlist.ai 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 Cleanlist
What the judge wrote, as written, with how often. The vendor table decides that these count as Cleanlist; a claim can dispute any of them.
Cleanlist.ai 2Cleanlist Starter 1
Follow Cleanlist
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
Cleanlist is its own company.ShowHide
The company
Cleanlist is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The GTM Playbook Engine Built on Clean Data
- For
- modern GTM teams
- Price stated
- Free $0/mo; Starter $79/mo; Pro $229/mo; Scale $599/mo cleanlist.ai
- Starting price
- 0 cleanlist.ai
- Free plan or trial
- Try Cleanlist with no credit card. Great for testing the platform. 14-day free trial, 250 credits and three seats. No card required. cleanlist.ai
- Integrations claimed
- 25 cleanlist.ai · 6 cleanlist.ai/resources/integrations pages disagree
- Certifications
- not SOC 2 certified as of August 22, 2026
- Customers named
- ProposifyWarpFloatGastronomousRipplingSumo LogicBDCCoast
- Not stated on the pages read
- Hosting
What Cleanlist's own pages state, read September 28, 2026: cleanlist.ai, cleanlist.ai/pricing, cleanlist.ai/product/api, cleanlist.ai/customers, cleanlist.ai/resources/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 Cleanlist'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 Cleanlist, 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 Cleanlist by email, built from the raw record of the edition. It shows:
- where Cleanlist 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 Cleanlist, 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.