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

Tomba

6Judge labels
0First choices
0Negative labels
4 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Tomba was named 2 times in Email verification and 1 other category, where ZeroBounce led with 29%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In email verification · 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 Tomba 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
Email verificationGTM data and infrastructure0%32 of 530%1under 10 labels · led by ZeroBounce at 29%
Identity resolutionGTM data and infrastructure0%81 of 1510%1under 10 labels · led by Hightouch at 15%

Movement

This is the first edition on this tier, so no move can be computed for Tomba 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 Tomba 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 Fast00000
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick01001
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct2 labelsNone
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained3 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative6 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.

“Add Clearbit or Tomba for data verification and enrichment” Mistral Small · Identity · paraphrase prompt · alternative
“Other affordable options include DeBounce, Tomba, and Hunter.” Llama 4 Maverick · Email verification · budget 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 Tomba, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Tomba was named but was not.
ProductSame answerTook the first choice insteadHead to head
Prospeo3 of 61Not in the top three
HubSpot Breeze Intelligence3 of 60Not in the top three
Apollo.io2 of 62Not in the top three
6sense2 of 60Not in the top three
Demandbase2 of 60Not in the top three
Hightouch2 of 60Not in the top three
Snov.io2 of 60Not in the top three
Warmly2 of 60Not in the top three
ZeroBounce2 of 60Not in the top three
LiveRamp Identity Resolution1 of 61Not 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.
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 Tomba'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 Tomba, 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 tomba.io 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.