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 94 → 116 of 125
Neustar
22Judge labels
0First choices
6Negative 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.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Neustar was named 9 times in Identity and 1 other category, where Hightouch Adaptive Identity Resolution led with 12%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business122 of 131
0%5 labels
under the label threshold
Mid-market33 of 140
0%7 labels
under the label threshold
Enterprise37 of 99
0%3 labels
under the label threshold
In identity · 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 Neustar 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 |
|---|---|---|---|---|---|---|---|
| Identity resolution | GTM data and infrastructure | 0% | 33 of 140 | 0% | 7 | 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. |
| Attribution and marketing mix modeling | Marketing | 0% | 108 of 123 | 50% | 2 | under 10 labels · led by Dreamdata at 27% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Neustar held within the floor in all two categories: no change cleared 11 points.
Best category · Identity · 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 121 → 29 of 131
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 46 → 34 of 89
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| 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 121 → 33 of 140 |
| Attribution & MMM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 108 of 123, unchanged |
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 Neustar 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 Neustar 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 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| 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 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 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
Direct2 labelsNone
Paraphrase1 labelNone
Comparative10 labelsNone
Budget-constrained0 labelsNone
Scale-constrained5 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative22 labels in all, every segment counted; 0 of the 0 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.
“Best For: Enterprise marketing attribution, fraud prevention... Trade-off: High entry cost, opaque pricing” Gemini 3.5 Flash · Identity · comparative prompt · alternative
“Combines Neustar's identity resolution with TransUnion's credit/financial data” MiniMax M2.5 · Identity · 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.
“Very slow feedback loops (models can take 8–12 weeks to deliver) and highly expensive.” Gemini 3.5 Flash · Attribution & MMM · comparative prompt · soft negative
Named alongside
The products named in the same answers as Neustar, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Neustar was named but was not.ShowHide
Named alongside
The products named in the same answers as Neustar, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Neustar 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 Neustar. 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 20 of the 22 answers that named Neustar and are not a share of its labels.
Domains cited
liveramp.com8
devopsschool.com7
g2.com7
guideflow.com7
redpointglobal.com7
scmgalaxy.com6
softwaresuggest.com6
gtm-ai-index.com5
hightouch.com5
improvado.io5
No domain is on file for Neustar, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Names read as Neustar
What the judge wrote, as written, with how often. The vendor table decides that these count as Neustar; a claim can dispute any of them.
Neustar (TransUnion) 2Neustar (by TransUnion) 1Neustar/TransUnion 1TransUnion/Neustar 1TransUnion/Neustar (TruAudience) 1
Follow Neustar
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.
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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 Neustar'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 Neustar, 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 Neustar by email, built from the raw record of the edition. It shows:
- where Neustar 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 Neustar, 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.