GTM AI Index
Index Vendors › Dun & Bradstreet · September 2026 Edition
2 categories · Named, not ranked

Dun & Bradstreet

20Judge labels
2First choices
5Negative 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Dun & Bradstreet was named 2 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 Dun & Bradstreet 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%47 of 1040%1under 10 labels · led by Insycle at 34%
Sales intelligence and contact dataSales0%39 of 44100%1under 10 labels · led by Apollo.io at 76%

Movement

This is the first edition on this tier, so no move can be computed for Dun & Bradstreet 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 Dun & Bradstreet 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 Small00011
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
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
Direct5 labels2
Paraphrase2 labelsNone
Comparative6 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative6 labelsNone
First choiceAlternativeMentionNegative20 labels in all, every segment counted; 2 of the 2 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.

“D&B or Experian” Qwen 3.7 Flash · CRM data quality · comparative 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.

“FTC settlement ($5.7M in Sept 2025) ... Stale contact data frequently cited in reviews” Mistral Small · Sales intel · negative prompt · soft negative

Named alongside

The products named in the same answers as Dun & Bradstreet, over the 20 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Dun & Bradstreet was named but was not.
ProductSame answerTook the first choice insteadHead to head
DemandTools10 of 204Not in the top three
ZoomInfo9 of 201Not in the top three
Cognism6 of 200Not in the top three
Experian Data Quality6 of 200Not in the top three
Insycle5 of 201Not in the top three
HubSpot Breeze Intelligence5 of 200Not in the top three
Informatica5 of 200Not in the top three
ZoomInfo Operations5 of 200Not in the top three
Cleanlist4 of 201Not in the top three
Hightouch4 of 201Not 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 Dun & Bradstreet. 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 20 answers that named Dun & Bradstreet and are not a share of its labels.

Domains cited

cleanlist.ai2
clearout.io2
cognism.com2
findymail.com2
gitnux.org2
morsoftware.com2
nrev.ai2
worldmetrics.org2
amplemarket.com1
default.com1

Eighteen of the eighteen domain citations in answers naming Dun & Bradstreet came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Dun & Bradstreet

What the judge wrote, as written, with how often. The vendor table decides that these count as Dun & Bradstreet; a claim can dispute any of them.
Dun & Bradstreet (D&B Hoovers) 1Dun & Bradstreet (D&B) 1
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 Dun & Bradstreet'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 Dun & Bradstreet, 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 dunbradstreet.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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