Small business=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 2% in September 2026
Inside the floor by 11 pointsRank 6 → 8 of 87
2 categories · RankedDataGroomr
37Judge labels
2First choices
2Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
2% in CRM data quality for mid-market buyers
Rank 6 of 99 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 15 labels there were negative.
What the models named instead of DataGroomr →By buyer segmentRead the same way at every buyer size.
Small business7 of 96
2%12 labels
accepted challenger
Mid-market6 of 99
2%15 labels
accepted challenger
Enterprise24 of 103
0%9 labels
under the label threshold
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 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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| CRM data quality and deduplication | Revenue operations | 2% | 6 of 99 | 0% | 15 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity resolution | GTM data and infrastructure | 0% | 59 of 140 | 0% | 1 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, DataGroomr held within the floor in all two categories: no change cleared 11 points.
Best category · CRM data quality · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 17 → 5 of 90
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 29 → 22 of 93
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CRM data quality | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 17 → 6 of 99 |
| Identity | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 17 → 59 of 140 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated DataGroomr across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated DataGroomr across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 1 | 2 | 0 | 0 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 2 | 0 | 0 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 2 | 1 | 0 | 3 |
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
Direct1 labelNone
Paraphrase3 labelsNone
Comparative16 labels5not counted in share
Budget-constrained10 labels1
Scale-constrained3 labels1
Negative4 labels2not counted in share
First choiceAlternativeMentionNegative37 labels in all, every segment counted; 2 of the 9 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.
“Choose DataGroomr if you want a set-and-forget AI solution that minimizes administrative overhead.” Qwen 3.7 Flash · CRM data quality · comparative prompt · first choice
“DataGroomr is best for Salesforce users seeking AI-driven, automated data quality and enrichment.” Mistral Small · CRM data quality · comparative prompt · first choice
“look at cloud-native, user-friendly tools like Cloudingo, Insycle, or DataGroomr” Gemini 3.5 Flash · CRM data quality · negative prompt · first choice
“DataGroomr (~$199/yr) – Frequently recommended as the best "budget pick" for Salesforce” MiniMax M2.5 · CRM data quality · budget prompt · first choice
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 DataGroomr, over the 37 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.ShowHide
Named alongside
The products named in the same answers as DataGroomr, over the 37 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.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 37 of the 37 answers that named DataGroomr and are not a share of its labels.
Domains cited
g2.com25
cleanlist.ai20
cognism.com17
datagroomr.comYour site15
pipeline.zoominfo.com13
integrate.io12
itechguides.com12
prospeo.io12
syncmatters.com11
gitnux.org9
131 of the 146 domain citations in answers naming DataGroomr came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
datagroomr.com is not in Google's top ten for any of the category's searches. In the answers, DataGroomr takes 2% of first choices and Insycle takes 43%.ShowHide
Search and answers
datagroomr.com is not in Google's top ten for any of the category's searches. In the answers, DataGroomr takes 2% of first choices and Insycle takes 43%.
ShowHideIn search
Google, US estimatesPosition for “crm data quality and deduplication tool”
–
not in the top ten
Position for “best crm data quality and deduplication tool”
–
not in the top ten
- Searches for its name, Google
- 320 a month (“datagroomr”)
- AI search demand for its name, est.
- 0 a month
- Organic visits to its site
- about 517 a month
- Searches its site ranks for
- 294 · 9 in the top three
- Sites linking to it
- 849
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
2%
rank 6 of 99 in CRM data quality
Segment leader
43%
Insycle
- First choices
- 2 across its categories
- Named in
- 37 answers
- Its own site cited
- in 37 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on datagroomr.com
385
subdomains included
Content
204
counted in the table below
Documentation
1
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 186 | undated | CRM, Email verification | ||
| Comparison | 13 | undated | |||
| Glossary or explainer | 3 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
How it is countedHide how it is counted
Every page datagroomr.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read October 5, 2026.
Follow DataGroomr
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
DataGroomr is its own company.ShowHide
The company
DataGroomr is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The AI-powered Salesforce data quality platform
- For
- Salesforce admins, marketing and sales operations, and revenue teams who need accurate, duplicate-free data for reporting, segmentation, and pipeline management.
- Price stated
- Free 14-Day Trial datagroomr.com
- Starting price
- $399/year datagroomr.com/pricing
- Free plan or trial
- Free 14-Day Trial datagroomr.com
- Certifications
- SOC 2 Type IIHIPAAGDPR compliantCCPA compliantGDPRCertified Salesforce ISV
- Customers named
- Marcus & MillichapThycotic SoftwareCluePointsValeo StrategyJW PlayerExhibitions & Events AustraliaIsrael EMS FoundationAptible
- Not stated on the pages read
- Integrations, hosting
What DataGroomr's own pages state, read October 5, 2026: datagroomr.com, datagroomr.com/pricing, datagroomr.com/security. A claimed page can correct any of 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.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for DataGroomr by email, built from the raw record of the edition. It shows:
- where DataGroomr is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name DataGroomr, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.