Every category where a model named DataGroomr 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
Identity resolution	GTM data and infrastructure	2%	17 of 151	0%	1	under 10 labels · led by Hightouch at 15%
CRM data quality and deduplication	Revenue operations	0%	16 of 104	9%	11	accepted challenger

Movement

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

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0	0
GPT-5.4 mini	1	1	1	1	4
Gemini 3.5 Flash	0	2	0	0	2
Perplexity Sonar	0	0	0	0	0
Grok 4.1 Fast	0	1	0	0	1
Mistral Small	0	0	0	0	0
DeepSeek V4 Flash	0	1	1	0	2
Llama 4 Maverick	0	0	0	0	0
Qwen 3.7 Flash	0	0	0	0	0
Kimi K2	0	1	1	0	2
GLM 4.7 FlashX	0	0	1	0	1
MiniMax M2.5	0	0	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

Direct7 labelsNone

Paraphrase1 labelNone

Comparative1 labelNone

Budget-constrained10 labels2

Scale-constrained6 labelsNone

Negative5 labelsNone

First choiceAlternativeMentionNegative30 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.

“DataGroomr — if you're on Salesforce and want a lower-cost, focused identity matching / deduping tool” GPT-5.4 mini · Identity · budget prompt · first choice

“If you want a tool that can instantly find messy duplicates with zero manual configuration, look at DataGroomr.” Gemini 3.5 Flash · CRM data quality · comparative prompt · alternative

“An AI-first tool that uses machine learning to find duplicates without you needing to build complex rules.” Gemini 3.5 Flash · CRM data quality · scale prompt · alternative

“If you're on Salesforce instead, go with DataGroomr at $199/year” DeepSeek V4 Flash · CRM data quality · 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.

“products like Plauti and DataGroomr show recurring mentions of complexity / learning difficulty in user feedback summaries” GPT-5.4 mini · CRM data quality · negative prompt · soft negative

Named alongside

The products named in the same answers as DataGroomr, over the 30 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DataGroomr was named but was not.

ProductSame answerTook the first choice insteadHead to head

Insycle23 of 3010Not in the top three

Cloudingo20 of 303Not in the top three

Dedupely17 of 303Not in the top three

DemandTools16 of 301Not in the top three

ZoomInfo Operations13 of 302Not in the top three

Plauti9 of 301Not in the top three

HubSpot Operations Hub9 of 300Not in the top three

Koalify8 of 305Not in the top three

Cleanlist8 of 302Not in the top three

Informatica7 of 300Not 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 DataGroomr. 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 6 of the 30 answers that named DataGroomr and are not a share of its labels.

Domains cited

g2.com6

capterra.com3

appexchange.salesforce.com1

gartner.com1

github.com1

help.salesforce.com1

insycle.com1

trailhead.salesforce.com1

Fifteen of the fifteen domain citations in answers naming DataGroomr came from somebody else's page.

Pages cited

g2.com/categories/data-quality/f/crm5

g2.com/products/dedupely/reviews3

capterra.com/p/204621/DataGroomr2

g2.com/products/datagroomr/pricing2

appexchange.salesforce.com/appxListingDetail1

appexchange.salesforce.com/image_host/de9b6a35-cdf2-49e8-8ced-af62cb5353a8.pdf1

capterra.com/p/10039285/CleanSmart1

g2.com/categories/data-quality/themes/deduplication-and-merge1

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 DataGroomr'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 DataGroomr, 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 datagroomr.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.