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GTM AI Index
Index › Products › LinkedIn Sponsored Content · October 2026 Edition
LinkedIn · 1 category · Ranked

LinkedIn Sponsored Content

60Judge labels
26First choices
3Negative labels
14 / 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
21% in Native ads for small business buyers
Rank 4 of 86 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 0% of its 19 labels there were negative.
What the models named instead of LinkedIn Sponsored Content →
By buyer segmentStrongest at small business.
In native ads · 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 Sponsored Content 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 rateLabelsQuadrantSince September 2026
Native and content advertisingMarketing10%4 of 860%19accepted challenger▲+3Since September 2026: 5% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, LinkedIn Sponsored Content held within the floor in its one category: no change cleared 11 points.

Best category · Native ads · by segment

Small business▲+6Since September 2026: 12% → 17%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
17%from 12% in September 2026
Inside the floor by 5 pointsRank 4 → 3 of 61
Mid-market▲+3Since September 2026: 5% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
7%from 5% in September 2026
Inside the floor by 8 pointsRank 6 → 4 of 79
Enterprise=heldSince September 2026: 21% → 20%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
20%from 21% in September 2026
Inside the floor by 11 pointsRank 1 of 65, unchanged

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Native ads5%7%▲+3Since September 2026: 5% → 7%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 6 → 4 of 86

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 LinkedIn Sponsored Content across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502002
GPT-5.4 mini01001
Gemini 3.5 Flash10001
Perplexity Sonar01001
Grok 4.2000202
Mistral Small10001
DeepSeek V4 Flash01102
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K202002
GLM 4.7 FlashX02002
MiniMax M2.511103
GPT-6 Luna20002
Muse Glimmer 30B00000

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
Direct30 labels15
Paraphrase23 labels11
Comparative3 labels1not counted in share
Budget-constrained0 labelsNone
Scale-constrained2 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative60 labels in all, every segment counted; 26 of the 27 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.

“Start with LinkedIn Sponsored Content for your primary native ads effort since it offers the best B2B targeting and highest intent.” MiniMax M2.5 · Native ads · paraphrase prompt · first choice
“StackAdapt and LinkedIn Sponsored Content are often the top recommendations” Mistral Small · Native ads · paraphrase prompt · first choice
“I'd start with LinkedIn Sponsored Content... use LinkedIn as the main B2B channel” GPT-6 Luna · Native ads · paraphrase prompt · first choice
“For most mid-market B2B companies, I'd start with LinkedIn Sponsored Content.” GPT-6 Luna · Native ads · direct 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 LinkedIn Sponsored Content, over the 60 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LinkedIn Sponsored Content was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Nativo13 of 601Not among the top eight
Dianomi10 of 601Not among the top eight
The Trade Desk9 of 600Not among the top eight
Demandbase7 of 600Not among the top eight
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 LinkedIn Sponsored Content. 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 56 of the 60 answers that named LinkedIn Sponsored Content and are not a share of its labels.

Domains cited

madgicx.com26
pipeline.zoominfo.com26
business.quora.com23
linkedin.comYour site22
aidigital.com21
abmatic.ai20
stackadapt.com15
guideflow.com14
heysid.com14
g2.com13

172 of the 194 domain citations in answers naming LinkedIn Sponsored Content came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where LinkedIn Sponsored Content stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
320 a month (“linkedin sponsored content”)
AI search demand for its name, est.
18 a month
Its own site
It sits on LinkedIn's site (linkedin.com), so there are no site figures for it alone

In answers

This edition
Share of first choices
10%
rank 4 of 86 in native ads
Segment leader
41%
StackAdapt
First choices
26 across its categories
Named in
60 answers
Its own site cited
in 56 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.

Names read as LinkedIn Sponsored Content

What the judge wrote, as written, with how often. The vendor table decides that these count as LinkedIn Sponsored Content; a claim can dispute any of them.
LinkedIn Ads 4LinkedIn Campaign Manager 4LinkedIn 2LinkedIn Marketing Solutions (LinkedIn Ads) 1

Follow LinkedIn Sponsored Content

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

LinkedIn is the company behind LinkedIn Sponsored Content.
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On record

Wikidata
Headquarters
Sunnyvale, United States
Founded
2002

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

In its own words

Stated by the vendor, not checked
Positioning
Drive qualified leads with LinkedIn’s premium native advertising format. Sponsored Content allows you to share, showcase and promote campaigns within the LinkedIn feed.
Not stated on the pages read
Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers

What LinkedIn Sponsored Content's own pages state, read October 5, 2026: business.linkedin.com/advertise/ads/sponsored-content. 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 LinkedIn Sponsored Content'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 Sponsored Content, 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 LinkedIn Sponsored Content by email, built from the raw record of the edition. It shows:

  • where LinkedIn Sponsored Content 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 LinkedIn Sponsored Content, 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.
The subscriber app

A verification link goes to your work email; an address at linkedin.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.