Small business▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 10 → 18 of 87
1 category · RankedOpenRefine
25Judge labels
1First choices
9Negative labels
11 / 14Models named it
1Category
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
0% in CRM data quality for small business buyers
Rank 8 of 99 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 11% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business21 of 96
0%11 labels
criticized challenger
Mid-market8 of 99
2%9 labels
under the label threshold
Enterprise103 of 103
0%5 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 OpenRefine 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% | 8 of 99 | 11% | 9 | under 10 labels · led by Insycle at 43% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, OpenRefine held within the floor in its one category: no change cleared 11 points.
Best category · CRM data quality · by segment
Mid-market=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 10 → 7 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 91 → 93 of 93
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CRM data quality | 2% | 2% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 10 → 8 of 99 |
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 OpenRefine 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 OpenRefine 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 | 1 | 0 | 1 | 1 | 3 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 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
Direct0 labelsNone
Paraphrase4 labelsNone
Comparative2 labelsNone
Budget-constrained11 labels1
Scale-constrained0 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 1 of the 1 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.
“move to OpenRefine if you need more advanced capabilities at no cost” Claude Haiku 4.5 · CRM data quality · budget prompt · first choice
“Completely free, runs locally (privacy-friendly)... Limitations: Not CRM-connected; manual process” Kimi K2 · CRM data quality · budget prompt · alternative
“If you have no money but have technical skills: Export your data, clean it for free in OpenRefine” Gemini 3.5 Flash · CRM data quality · budget prompt · alternative
“Best Free Open-Source Option ... No cost, but requires more manual effort” GLM 4.7 FlashX · 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.
“No built-in scheduling or automation for recurring cleaning jobs, and performance degrades significantly with very large datasets” Claude Haiku 4.5 · CRM data quality · negative prompt · hard negative
Named alongside
The products named in the same answers as OpenRefine, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenRefine was named but was not.ShowHide
Named alongside
The products named in the same answers as OpenRefine, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenRefine 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 OpenRefine. 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 25 of the 25 answers that named OpenRefine and are not a share of its labels.
Domains cited
cleanlist.ai18
pipeline.zoominfo.com18
cognism.com15
g2.com15
integrate.io15
prospeo.io13
clearout.io11
findymail.com10
hevodata.com9
insycle.com9
133 of the 133 domain citations in answers naming OpenRefine came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
openrefine.org is not in Google's top ten for any of the category's searches. In the answers, OpenRefine takes 2% of first choices and Insycle takes 43%.ShowHide
Search and answers
openrefine.org is not in Google's top ten for any of the category's searches. In the answers, OpenRefine 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
- 1,900 a month (“openrefine”)
- AI search demand for its name, est.
- 25 a month
- Organic visits to its site
- about 4,409 a month
- Searches its site ranks for
- 273 · 24 in the top three
- Sites linking to it
- 4,189
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
2%
rank 8 of 99 in CRM data quality
Segment leader
43%
Insycle
- First choices
- 1 across its categories
- Named in
- 25 answers
- Its own site cited
- in 25 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 openrefine.org
1,295
subdomains included
Content
1,206
counted in the table below
Documentation
59
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Conference or event | 1,132 | 0 | 2025-06-06 | CRM | |
| Blog | 74 | 0 | 2026-01-27 |
Most recent
- 2026-01-27Fundraising 2025 campaign results blog
- 2025-12-17Year in review 2025 blog
- 2025-10-01Annoucing store blog
- 2025-08-20Antonin leaving blog
- 2025-06-10OpenRefine 2025 Barcamp blog
- 2025-06-062360 conference or event
How it is countedHide how it is counted
Every page openrefine.org 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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow OpenRefine
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
OpenRefine.ShowHide
The company
OpenRefine.
ShowHideOn record
Wikidata- Website
- openrefine.org
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn
In its own words
Stated by the vendor, not checked- Positioning
- a powerful free, open source tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.
- For
- everyone
- Price stated
- free openrefine.org
- Free plan or trial
- free openrefine.org
- Not stated on the pages read
- Starting price, integrations, certifications, hosting, customers
What OpenRefine's own pages state, read October 5, 2026: openrefine.org. 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 OpenRefine'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 OpenRefine, 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 OpenRefine by email, built from the raw record of the edition. It shows:
- where OpenRefine 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 OpenRefine, 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.