Small business=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 63 of 65, unchanged
4 categories · RankedTreasure Data
89Judge labels
2First choices
18Negative labels
14 / 14Models named it
4Categories
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
4% in CDP for enterprise buyers
Rank 14 of 61 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 7% of its 15 labels there were negative.
What the models named instead of Treasure Data →By buyer segmentRead the same way at every buyer size.
Small business76 of 78
0%9 labels
under the label threshold
Mid-market14 of 61
0%15 labels
accepted challenger
Enterprise6 of 52
4%34 labels
accepted challenger
In cdp · 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 Treasure Data 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 |
|---|---|---|---|---|---|---|---|
| Customer data platforms | GTM data and infrastructure | 0% | 14 of 61 | 7% | 15 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data management platforms | GTM data and infrastructure | 0% | 96 of 159 | 20% | 5 | under 10 labels · led by Segment at 37% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity resolution | GTM data and infrastructure | 0% | 101 of 140 | 33% | 3 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 78 of 142 | 0% | 2 | under 10 labels · led by Amplitude at 18% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Treasure Data held within the floor in all four categories: no change cleared 11 points.
Best category · CDP · by segment
Mid-market=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 17 → 14 of 57
Enterprise▼−7Since September 2026: 11% → 4%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 11% in September 2026
Inside the floor by 4 pointsRank 3 → 6 of 49
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CDP | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 17 → 14 of 61 |
| DMP | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 129 → 96 of 159 |
| Identity | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 113 → 101 of 140 |
| Customer intel | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 140 → 78 of 142 |
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 Treasure Data 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 Treasure Data 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 | 4 | 0 | 4 |
| GPT-5.4 mini | 0 | 1 | 2 | 1 | 4 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 3 | 0 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 1 | 4 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
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
Direct18 labels2
Paraphrase11 labelsNone
Comparative28 labels1not counted in share
Budget-constrained10 labelsNone
Scale-constrained8 labelsNone
Negative14 labelsNone
First choiceAlternativeMentionNegative89 labels in all, every segment counted; 2 of the 3 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.
“If you manage complex, high‑velocity data environments, Treasure Data offers specialized handling of multi‑source data.” GLM 4.7 FlashX · CDP · comparative prompt · alternative
“Treasure Data supports flexible account-level data modeling for multi-product and B2B2C companies” Muse Glimmer 30B · CDP · direct prompt · alternative
“Best for governance / enterprise-style data management: Informatica or Treasure Data” GPT-5.4 mini · Identity · direct prompt · alternative
“Large enterprises with complex customer data and identity needs” GPT-6 Luna · CDP · 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.
“more suited to large, complex data environments” DeepSeek V4 Flash · DMP · direct prompt · hard negative
“Strong B2C CDP but requires technical expertise; B2B buyers should look elsewhere.” Kimi K2 · CDP · negative prompt · soft negative
“Best enterprise-grade identity resolution, but expensive” GPT-5.4 mini · Identity · budget prompt · soft negative
Named alongside
The products named in the same answers as Treasure Data, over the 89 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Treasure Data was named but was not.ShowHide
Named alongside
The products named in the same answers as Treasure Data, over the 89 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Treasure Data 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 Treasure Data. 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 84 of the 89 answers that named Treasure Data and are not a share of its labels.
Domains cited
cdp.com58
improvado.io31
cxtoday.com29
gartner.com28
resources.rework.com28
brevo.com27
g2.com26
elogic.co22
learn.g2.com22
decentriq.com21
292 of the 292 domain citations in answers naming Treasure Data came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
treasure.ai is not in Google's top ten for any of the category's searches. In the answers, Treasure Data takes 0% of first choices and Segment takes 49%.ShowHide
Search and answers
treasure.ai is not in Google's top ten for any of the category's searches. In the answers, Treasure Data takes 0% of first choices and Segment takes 49%.
ShowHideIn search
Google, US estimatesPosition for “customer data platform”
–
not in the top ten
Position for “best customer data platform”
–
not in the top ten
- Searches for its name, Google
- 1,600 a month (“treasure data”)
- AI search demand for its name, est.
- 43 a month
- Organic visits to its site
- about 801 a month
- Searches its site ranks for
- 154 · 11 in the top three
- Sites linking to it
- 2,829
- Paid Google search
- 1 searches its ads show for, about 23 clicks and $82 a month (estimate)
In answers
This editionShare of first choices
0%
rank 14 of 61 in CDP
Segment leader
49%
Segment
- First choices
- 2 across its categories
- Named in
- 89 answers
- Its own site cited
- in 84 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 treasure.ai
5,660
subdomains included
Content
367
counted in the table below
Documentation
2,109
Product · Integration
28 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 134 | 5 | 2026-09-01 | CDP, Identity | |
| News or press | 119 | 1 | 2026-07-06 | CDP, Identity | |
| Report or ebook | 37 | 3 | 2026-09-04 | ||
| Template or tool | 34 | 1 | 2026-09-14 | CDP | |
| Case study | 24 | 0 | 2024-01-30 | ||
| Comparison | 13 | 0 | 2026-03-31 | CDP, DMP | |
| Glossary or explainer | 4 | 0 | 2026-06-17 | CDP | |
| Webinar or virtual event | 1 | 0 | 2026-06-23 | ||
| Conference or event | 1 | undated |
Most recent
- 2026-09-14Listing and reviewing tags using the rest api template or tool
- 2026-09-04Releases report or ebook
- 2026-09-01Treasure ai strong performer 2026 b2c cdp wave blog
- 2026-09-01Profile management report or ebook
- 2026-08-12Open catalog access blog
- 2026-08-06How treasure ai built an ai center of excellence blog
How it is countedHide how it is counted
Every page treasure.ai 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.
Names read as Treasure Data
What the judge wrote, as written, with how often. The vendor table decides that these count as Treasure Data; a claim can dispute any of them.
Treasure Data/CDP+ 1
Follow Treasure Data
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.
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 Treasure Data'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 Treasure Data, 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 Treasure Data by email, built from the raw record of the edition. It shows:
- where Treasure Data 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 Treasure Data, 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.