GTM AI Index

Index › Vendors › Findymail CRM Datacare · September 2026 Edition

1 category · Named, not ranked

Findymail CRM Datacare

8Judge labels

0First choices

0Negative labels

6 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

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Findymail CRM Datacare was named 2 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.

Small business25 of 115

under the label threshold

Mid-market37 of 104

under the label threshold

Enterprise39 of 104

under the label threshold

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 Findymail CRM Datacare 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
CRM data quality and deduplication	Revenue operations	0%	37 of 104	0%	2	under 10 labels · led by Insycle at 34%

Movement

This is the first edition on this tier, so no move can be computed for Findymail CRM Datacare 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 Findymail CRM Datacare across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	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	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	1	1	2
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0

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

Paraphrase1 labelNone

Comparative6 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative0 labelsNone

First choiceAlternativeMentionNegative8 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.

“If you want "always-on" monitoring: Findymail CRM Datacare” Kimi K2 · CRM data quality · paraphrase 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 Findymail CRM Datacare, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Findymail CRM Datacare was named but was not.

ProductSame answerTook the first choice insteadHead to head

Insycle7 of 83Not in the top three

DemandTools7 of 80Not in the top three

Cleanlist6 of 83Not in the top three

Openprise4 of 80Not in the top three

Clay3 of 80Not in the top three

Cloudingo3 of 80Not in the top three

HubSpot Operations Hub3 of 80Not in the top three

ZoomInfo Operations3 of 80Not in the top three

Apollo.io2 of 80Not in the top three

CUFinder2 of 80Not 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 Findymail CRM Datacare. 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 1 of the 8 answers that named Findymail CRM Datacare and are not a share of its labels.

Domains cited

cleanlist.ai1

clearout.io1

cognism.com1

cufinder.io1

default.com1

findymail.comYour site1

forbes.com1

g2.com1

gitnux.org1

integrate.io1

Nine of the ten domain citations in answers naming Findymail CRM Datacare came from somebody else's page.

Pages cited

cleanlist.ai/blog/2026-03-27-data-quality-tools1

cleanlist.ai/blog/2026-04-19-best-data-validation-tools1

cleanlist.ai/blog/2026-05-12-best-database-cleaning-software1

clearout.io/blog/crm-data-cleaning-solutions1

cognism.com/blog/data-quality-software1

cufinder.io/blog/best-crm-data-enrichment-tools1

default.com/post/crm-data-enrichment1

findymail.com/blog/crm-data-quality1

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 Findymail CRM Datacare'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 Findymail CRM Datacare, 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 findymail.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.