GTM AI Index
Index Vendors › Findymail · September 2026 Edition
2 categories · Named, not ranked

Findymail

13Judge labels
0First choices
3Negative labels
9 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Findymail was named 4 times in CRM data quality and 1 other category, 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 Findymail 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%50 of 10433%3under 10 labels · led by Insycle at 34%
Data enrichmentGTM data and infrastructure0%45 of 560%1under 10 labels · led by Apollo.io at 70%

Movement

This is the first edition on this tier, so no move can be computed for Findymail 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 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 Flash00101
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash10012
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Paraphrase2 labelsNone
Comparative2 labelsNone
Budget-constrained2 labelsNone
Scale-constrained2 labelsNone
Negative5 labels1not counted in share
First choiceAlternativeMentionNegative13 labels in all, every segment counted; 0 of the 1 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.

“Tools that pull from multiple databases (like Cleanlist or Findymail)” DeepSeek V4 Flash · 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.

“Custom-priced (often $15K+/yr) tools suited to bigger budgets” DeepSeek V4 Flash · CRM data quality · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Findymail, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Findymail was named but was not.
ProductSame answerTook the first choice insteadHead to head
Apollo.io8 of 133Not in the top three
Hunter7 of 130Not in the top three
Cleanlist6 of 132Not in the top three
ZeroBounce6 of 131Not in the top three
NeverBounce6 of 130Not in the top three
Clay5 of 130Not in the top three
ZoomInfo5 of 130Not in the top three
Insycle4 of 133Not in the top three
Clearout4 of 130Not in the top three
DemandTools4 of 130Not 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. 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 2 of the 13 answers that named Findymail and are not a share of its labels.

Domains cited

hunter.io2
lagrowthmachine.com2
snov.io2
usebouncer.com2
buzzlead.io1
clearout.io1
debounce.com1
icypeas.com1
leadmagic.io1
mailgenius.com1

Fourteen of the fourteen domain citations in answers naming Findymail 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 Findymail'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, 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.

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