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
Data quality and observability	Data platform	9%	3 of 110	0%	7	under 10 labels · led by Metaplane at 31%

Movement

This is the first edition on this tier, so no move can be computed for Cleanlist yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

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.

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Model	First choice	Alternative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	1	0	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	1	0	1
Qwen 3.7 Flash	1	0	1
Kimi K2	0	0	0
GLM 4.7 FlashX	1	0	1
MiniMax M2.5	1	0	1
GPT-6 Luna	0	0	0
Muse Glimmer 30B	1	0	1

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

Direct0 labelsNone

Paraphrase12 labels10

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative12 labels in all, every segment counted; 10 of the 10 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 - offers enrichment and cleansing capabilities, with a 14-day trial and a free plan or $79/month. It integrates with HubSpot, Salesforce, and API, making it a good option for SMB/mid-market teams.” Llama 4 Maverick · Data observability · paraphrase prompt · first choice

“For most mid-sized B2B companies, Cleanlist or Insycle are excellent starting points” Mistral Small · Data observability · paraphrase prompt · first choice

“Most mid‑sized B2B companies will get the best bang for their buck with Cleanlist” GLM 4.7 FlashX · Data observability · paraphrase prompt · first choice

“Start with Insycle or Cleanlist. The ROI is immediate” Qwen 3.7 Flash · Data observability · paraphrase 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 12 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.

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ProductSame answerTook the first choice insteadHead to head

DemandTools6 of 120Not among the top eight

Insycle5 of 121Not among the top eight

OpenRefine4 of 120Not among the top eight

IBM InfoSphere QualityStage3 of 120Not among the top eight

Informatica Intelligent Data Management Cloud3 of 120Not among the top eight

WinPure Clean & Match3 of 120Not among the top eight

ZoomInfo3 of 120Not among the top eight

Atlan2 of 120Not among the top eight

Cognism2 of 120Not among the top eight

Data82 of 120Not 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 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 12 of the 12 answers that named Cleanlist and are not a share of its labels.

Domains cited

cleanlist.aiYour site12

g2.com9

airbyte.com8

pipeline.zoominfo.com7

cognism.com6

integrate.io6

prospeo.io5

getapp.com4

atlan.com3

metaplane.dev3

Fifty-one of the sixty-three domain citations in answers naming Cleanlist came from somebody else's page.

Pages cited

cleanlist.ai/blog/2026-03-27-data-quality-tools11

airbyte.com/top-etl-tools-for-sources/data-quality-tools8

pipeline.zoominfo.com/operations/data-cleansing-software7

cleanlist.ai/glossary/data-quality-tools6

integrate.io/blog/top-10-data-cleansing-tools6

g2.com/categories/data-quality5

g2.com/categories/data-quality/small-business5

prospeo.io/s/data-quality-tools5

Pages are listed as the models cited them.

Search and answers

cleanlist.ai is not in Google's top ten for any of the category's searches. In the answers, Cleanlist takes 9% of first choices and Metaplane takes 31%.

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In search

Google, US estimates

Position for “data observability platform”

–

not in the top ten

Position for “best data observability platform”

–

not in the top ten

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

Ads on GoogleDetailLess

4 ads · 4 text · 3 shown in the last 30 days

First shown March 2026, as Victor Paraschiv, verified. Ads started 2025-10 to 2026-09: 4 in the year.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 3 of 110 in data observability

Segment leader

31%

Metaplane

First choices: 10 across its categories
Named in: 12 answers
Its own site cited: in 12 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

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Addresses on cleanlist.ai

653

subdomains included

Content

363

counted in the table below

Documentation

106

Product · Integration

75 · 6

Kind	Pages	Last 90 days	Latest
Blog	176	67	2026-09-22
Glossary or explainer	83	0	2026-06-30
Comparison	46	11	2026-09-07
Template or tool	41	18	2026-07-17
Report or ebook	14	undated
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.

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.

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In its own words

Stated by the vendor, not checked

Positioning: The GTM Playbook Engine Built on Clean Data
cleanlist.ai
For: modern GTM teams
cleanlist.ai
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.

Badges

Wins only: a badge exists where Cleanlist is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.

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Cleanlist is among the products AI models recommend first in Data quality and observability 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.

Wide · 320 × 104 Website, beside other badges

Show the code

<a href="https://it-ai-index.com/it-data/data-quality-and-observability/"><img src="https://it-ai-index.com/badges/2026-10/cleanlist--data-quality-and-observability-wide.svg" alt="Among AI models' top three in Data quality and observability, October 2026 Edition, IT AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Data quality and observability standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides

Show the code

<a href="https://it-ai-index.com/it-data/data-quality-and-observability/"><img src="https://it-ai-index.com/badges/2026-10/cleanlist--data-quality-and-observability-square.svg" alt="Among AI models' top three in Data quality and observability, October 2026 Edition, IT AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Data quality and observability standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer

Show the code

<a href="https://it-ai-index.com/it-data/data-quality-and-observability/"><img src="https://it-ai-index.com/badges/2026-10/cleanlist--data-quality-and-observability-compact.svg" alt="Among AI models' top three in Data quality and observability, October 2026 Edition, IT AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Data quality and observability standing, where the claim can be checked.

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.