Index › GTM › Products › LinkedIn articles · November 2026 Edition
2 categories · Named, not ranked

LinkedIn articles

linkedin.com ↗

–Too few to rank
5/14Models named it
0First choices
2Warnings
November 2026 Edition · all company sizes counted.
Ranked inContent marketing platforms #53 mid-marketNative and content advertising #41

Gane, the publisher, sells software in Content marketing, where this product is measured. It is measured there by the same method as every other product. How the conflict is handled.

What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. LinkedIn articles has 5.

Why models recommend it

“LinkedIn - Excellent for B2B content marketing; free to post company updates”Claude Haiku 4.5 · Budget-constrained question · alternative
“consider Google Ads, LinkedIn, or Meta for more controlled targeting”Grok 4.20 · Negative question · alternative
“Native content distribution to relevant professionals”Claude Haiku 4.5 · Direct question · alternative

What gives them pause

“Posting on high-authority sites like Reddit, Medium, or LinkedIn ... it should be used cautiously”Muse Glimmer 30B · Negative question · warning

Also on the shortlist

The products named in the same answers as LinkedIn articles, over the 7 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on LinkedIn articles's own site, not checked by Gane.

Headquarters
Sunnyvale, United States
Founded
2002
Visit linkedin.com ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named LinkedIn articles came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 5 of the 7 answers that named LinkedIn articles and are not a share of its labels.

Domains cited

gane.ai/indexpublisher (Gane)3
blog.hubspot.com2
go.eco2
linkedin.comIts own site2
marketing-interactive.com2
martechasia.net2
accc.gov.au1
agrtech.com.au1
au.trustpilot.com1
baltijapublishing.lv1

Twelve of the seventeen domain citations in answers naming LinkedIn articles came from a third party's page. Three were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on LinkedIn articles across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.502002
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2001001
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00011