GTM AI Index
Index Vendors › LinkedIn Matched Audiences / Predictive Audiences · September 2026 Edition
1 category · Named, not ranked

LinkedIn Matched Audiences / Predictive Audiences

1Judge labels
0First choices
0Negative labels
1 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. LinkedIn Matched Audiences / Predictive Audiences was named 1 time in DMP, where Segment led with 18%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In dmp · 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 LinkedIn Matched Audiences / Predictive Audiences 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Data management platformsGTM data and infrastructure0%118 of 1830%1under 10 labels · led by Segment at 18%

Movement

This is the first edition on this tier, so no move can be computed for LinkedIn Matched Audiences / Predictive Audiences 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 LinkedIn Matched Audiences / Predictive Audiences across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00101
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative1 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.

No positive label carried a quote.

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 LinkedIn Matched Audiences / Predictive Audiences, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and LinkedIn Matched Audiences / Predictive Audiences was named but was not.
ProductSame answerTook the first choice insteadHead to head
Hightouch1 of 11Not in the top three
ActionIQ1 of 10Not in the top three
BlueConic1 of 10Not in the top three
Microsoft ecosystem options1 of 10Not in the top three
Tealium1 of 10Not 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 LinkedIn Matched Audiences / Predictive Audiences. 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 1 of the 1 answers that named LinkedIn Matched Audiences / Predictive Audiences and are not a share of its labels.

Domains cited

gartner.com1
learn.microsoft.com1

Two of the two domain citations in answers naming LinkedIn Matched Audiences / Predictive Audiences came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

LinkedIn is the company behind LinkedIn Matched Audiences / Predictive Audiences.
Website
linkedin.com
Headquarters
Sunnyvale, United States
Founded
2002

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

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 LinkedIn Matched Audiences / Predictive Audiences'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 LinkedIn Matched Audiences / Predictive Audiences, 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 linkedin.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.

Subscribe to the pack