Every category where a model named Openprise 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%	19 of 151	0%	1	under 10 labels · led by Hightouch at 15%
CRM data quality and deduplication	Revenue operations	0%	23 of 104	18%	11	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Openprise 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 Openprise 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	1	0	1	2
GPT-5.4 mini	0	0	0	0	0
Gemini 3.5 Flash	1	1	0	0	2
Perplexity Sonar	0	0	1	0	1
Grok 4.1 Fast	0	0	1	0	1
Mistral Small	0	0	0	0	0
DeepSeek V4 Flash	0	1	0	0	1
Llama 4 Maverick	0	0	0	0	0
Qwen 3.7 Flash	0	1	0	0	1
Kimi K2	0	0	1	1	2
GLM 4.7 FlashX	0	0	1	0	1
MiniMax M2.5	0	0	1	0	1

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

Direct3 labels2

Paraphrase9 labels2

Comparative16 labelsNone

Budget-constrained3 labelsNone

Scale-constrained5 labelsNone

Negative9 labelsNone

First choiceAlternativeMentionNegative45 labels in all, every segment counted; 4 of the 4 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.

“Go with: Openprise (for deep data cleansing and no-code matching)” Gemini 3.5 Flash · Identity · direct prompt · first choice

“continuous cleanup + routing across CRM and marketing automation → Openprise or RingLead” DeepSeek V4 Flash · CRM data quality · comparative prompt · alternative

“Excellent for large-scale enterprise environments with complex multi-system setups.” Gemini 3.5 Flash · CRM data quality · comparative prompt · alternative

“Best for Advanced Automation: Openprise” Claude Haiku 4.5 · CRM data quality · paraphrase 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.

“One limitation of Openprise is its complexity—setting up data-cleaning workflows requires some technical expertise” Claude Haiku 4.5 · CRM data quality · negative prompt · soft negative

“Some Openprise implementations... Per-project pricing: Doesn't suit daily ongoing hygiene needs” Kimi K2 · CRM data quality · negative prompt · soft negative

Named alongside

The products named in the same answers as Openprise, over the 45 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Openprise was named but was not.

ProductSame answerTook the first choice insteadHead to head

DemandTools33 of 458Not in the top three

Insycle28 of 459Not in the top three

ZoomInfo Operations25 of 451Not in the top three

Cloudingo22 of 454Not in the top three

Cleanlist14 of 454Not in the top three

Apollo.io13 of 451Not in the top three

ZoomInfo13 of 451Not in the top three

Informatica12 of 451Not in the top three

LeadAngel10 of 451Not in the top three

Cognism9 of 450Not 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 Openprise. 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 10 of the 45 answers that named Openprise and are not a share of its labels.

Domains cited

cleanlist.ai7

cognism.com7

integrate.io7

clearout.io5

leadangel.com5

allegrow.co4

digi-texx.com4

pipeline.zoominfo.com4

blog.insycle.com3

datablist.com3

Forty-nine of the forty-nine domain citations in answers naming Openprise came from somebody else's page.

Pages cited

integrate.io/blog/top-10-data-cleansing-tools7

cleanlist.ai/blog/2026-03-27-data-quality-tools6

cognism.com/blog/data-quality-software6

clearout.io/blog/crm-data-cleaning-solutions5

allegrow.co/knowledge-base/crm-data-cleansing-guide4

digi-texx.com/techblog/crm-data-cleaning-solutions4

blog.insycle.com/crm-data-quality-checklist3

datablist.com/how-to/best-crm-cleaning-enrichment-tools3

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 Openprise'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 Openprise, 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 openprisetech.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.