GTM AI Index
Index Vendors › Zeotap · September 2026 Edition
3 categories · Named, not ranked

Zeotap

15Judge labels
0First choices
4Negative labels
8 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Zeotap was named 3 times in CDP and 2 other categories, where Segment led with 48%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In cdp · 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 Zeotap 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
Customer data platformsGTM data and infrastructure0%54 of 590%1under 10 labels · led by Segment at 48%
Data management platformsGTM data and infrastructure0%99 of 1830%1under 10 labels · led by Segment at 18%
Identity resolutionGTM data and infrastructure0%84 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 Zeotap 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 Zeotap 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 mini01001
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00101
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
Comparative5 labelsNone
Budget-constrained0 labelsNone
Scale-constrained3 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative15 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.

“Zeotap: Excellent for quick time-to-value, deterministic identity resolution, and marketer-friendly UI without heavy IT overhead.” Gemini 3.5 Flash · DMP · scale prompt · alternative
“if privacy/compliance and identity are especially central” GPT-5.4 mini · Identity · 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 Zeotap, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Zeotap was named but was not.
ProductSame answerTook the first choice insteadHead to head
Salesforce Data Cloud9 of 152Not in the top three
Tealium9 of 152Not in the top three
Segment9 of 150Not in the top three
Hightouch7 of 155Not in the top three
LiveRamp7 of 152Not in the top three
mParticle7 of 150Not in the top three
Adobe Real-Time CDP6 of 150Not in the top three
Treasure Data6 of 150Not in the top three
Amperity5 of 151Not in the top three
Klaviyo5 of 150Not 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 Zeotap. 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 4 of the 15 answers that named Zeotap and are not a share of its labels.

The company

Zeotap.
Website
zeotap.com
Headquarters
Berlin, Germany
Founded
2014

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn

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 Zeotap'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 Zeotap, 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 zeotap.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.