GTM AI Index
Index Vendors › WinPure · September 2026 Edition
1 category · Named, not ranked

WinPure

17Judge labels
0First choices
2Negative labels
8 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. WinPure was named 7 times in CRM data quality, where Insycle led with 34%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 WinPure 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 rateLabelsQuadrant
CRM data quality and deduplicationRevenue operations0%21 of 1040%7under 10 labels · led by Insycle at 34%

Movement

This is the first edition on this tier, so no move can be computed for WinPure yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated WinPure across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01102
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick01001
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00101
MiniMax M2.501001

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
Direct3 labelsNone
Paraphrase2 labelsNone
Comparative0 labelsNone
Budget-constrained2 labelsNone
Scale-constrained9 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative17 labels in all, every segment counted; 0 of the 0 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.

“Desktop tool for non-technical periodic cleanups across CRMs/spreadsheets. Good if you prefer on-prem/no cloud.” Grok 4.1 Fast · CRM data quality · paraphrase prompt · alternative
“WinPure (~$2,000/yr) — If you need on-premises or multi-source matching” Kimi K2 · CRM data quality · scale prompt · alternative
“Multi-system (CRM + ERP + database) → DataMatch Enterprise, WinPure” MiniMax M2.5 · CRM data quality · scale prompt · alternative
“WinPure for data cleansing” Llama 4 Maverick · CRM data quality · direct 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.

No model argued against it.

Named alongside

The products named in the same answers as WinPure, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and WinPure was named but was not.
ProductSame answerTook the first choice insteadHead to head
DemandTools13 of 172Not in the top three
ZoomInfo Operations11 of 174Not in the top three
Insycle10 of 175Not in the top three
Dedupely9 of 171Not in the top three
Cloudingo7 of 170Not in the top three
Cleanlist6 of 173Not in the top three
Informatica6 of 170Not in the top three
Plauti6 of 170Not in the top three
DataMatch Enterprise4 of 170Not in the top three
DataGroomr3 of 170Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 WinPure. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 3 of the 17 answers that named WinPure and are not a share of its labels.

Domains cited

leadangel.com3
cognism.com2
dataladder.com2
datastackhub.com2
digi-texx.com2
g2.com2
landbase.com2
pipeline.zoominfo.com2
allegrow.co1
cleansmartlabs.com1

Nineteen of the nineteen domain citations in answers naming WinPure came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 WinPure'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 WinPure, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at winpure.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.