AI Digs LinkedIn: New Research Shows Why Content Is Getting Cited by AI


Summary: New data shows AI loves to cite LinkedIn articles and posts in response to user queries. In this article, I explore why that's happening, how these insights can inform your content strategies, and how these findings align with LinkedIn's approach to creating a human-centered experience.


How do I get my content cited by AI?


That’s the million-dollar question. And you’ll get a bunch of different answers depending on who you ask (there’s no single answer or magic bullet), when you ask (AI is constantly evolving), and what AI platform you use (each one works differently).


But recent data and trends have shown that AI loves to cite LinkedIn in its responses. In fact, about 14% of all Google AI Mode and ChatGPT Search responses cite LinkedIn.


Why?


  • Authors of cited LinkedIn content are credible, trustworthy professionals whose expertise, authority, and authenticity are verifiable.
  • AI loves fresh content, and original posts and articles are constantly published on LinkedIn by reputable people and brands.
  • Content is highly structured and easy for AI tools to understand.
  • LinkedIn values human experience and connection over AI slop.


Semrush analyzed 89,000 LinkedIn URLs cited by ChatGPT Search, Google AI Mode, and Perplexity to get a better sense of what types of content are trusted by AI and what brands can do to improve AI visibility.


Here are key data points and takeaways from this study, along with other recent research and related news, that you should consider if you want to win with LinkedIn and AI.


LinkedIn Is the Second Most Cited Domain by AI


Semrush found that LinkedIn ranks right behind Reddit and ahead of Wikipedia, YouTube, Medium, top social platforms, and major business and scientific publishers.


In other words, when people ask AI questions, AI frequently responds by citing information from LinkedIn posts, long-form articles, and newsletters.


This is reinforced by a separate study from Profound, which found that LinkedIn is the most cited domain for professional queries in AI search.


Professional queries involve questions about companies, individual professionals, various types of expertise, and issues facing certain industries


This research states that LinkedIn jumped from outside the top 20 in November all the way to number 1 in February.


The bottom line is that people are asking AI questions, and AI is using LinkedIn content more than ever to generate answers.


I expect this to continue as LinkedIn and AI continue to get better at identifying valuable content and ignoring the noise of generic, puddle-deep content.


LinkedIn Articles and Posts Dominate


Depending on the AI platform, LinkedIn articles account for 50-66% of cited LinkedIn content. LinkedIn feed posts make up 15-28%.


AI loves content that delivers comprehensive yet focused answers to questions. At the same time, shorter LinkedIn feed posts are trending upward in AI citations, according to the Semrush study's authors.


Interestingly, longer articles of more than 2,000 words have a larger share of AI citations (13-22%) than shorter articles under 500 words (6-11%).


When it comes to LinkedIn posts, the sweet spot is 50-300 words (72-75%). The numbers fall off a cliff when you go past 300 words (16-22%).


Build your content around your most common customer questions – the same ones they’re asking AI – to become a trusted resource for the information your audience wants.


My thought on word count is this – content should be as long as it takes to make your point clearly, powerfully, and comprehensively.


If that takes you past 300 words, write an article. Then turn the most compelling parts of that article into shorter posts.


Helpful Content and Consistent Posting Matters


Most LinkedIn content (55-65%) focuses on sharing knowledge and advice, compared to just 15-25% for self-promotional content about a product or service.


When people need questions answered, AI tools are capable of separating helpful substance from self-serving sales pitches.


Authors who frequently post capture a massive 72-78% share of AI citations. Frequency matters for long-form articles as well, but not quite as much (59-72%).


The more content you share on LinkedIn, the more opportunities you give AI to cite your content.


You Don’t Have to Be a Big Name or Go Viral to Get Noticed by AI

 

Think AI is biased towards the Gary Vaynerchuks and Tony Robbinses of the world? Nope.


LinkedIn success isn’t reserved for billionaires and celebrities. Frequent posters who demonstrate real expertise and have a moderate following can get their LinkedIn content cited by AI.


In fact, people with fewer than 500 followers are just as likely to be cited as those with more than 500.


And you don’t have to chase reactions, comments, and shares to get noticed by AI. The median engagement for LinkedIn posts cited by AI is 15-25 reactions and one comment!


When it comes to LinkedIn and AI, it’s more about content quality, relevant answers to questions, and author credibility and expertise than big names and viral moments.


LinkedIn: “AI can scale discovery… Humans keep it credible.”


Here’s the full quote in a post from LinkedIn Corporate Communications earlier this month:


“The alchemy that makes a great LinkedIn experience starts at the intersection of AI and humans. AI can scale discovery, build powerful relevance and process at super-human speeds. Humans keep it credible.”


The point here is that LinkedIn, which has evolved into such a powerful thought leadership platform, isn’t relying solely on AI to shape the user experience.


LinkedIn employs “over 150 editors and creator managers” to work with the technology team to curate news, conversations, and content.


As the LinkedIn team states:


“…we don’t lose sight of why people come to LinkedIn in the first place: the human connection. The value of learning from real experts, gaining insight from lived experience and building meaningful connections is fundamental in an era of undifferentiated AI content.”


This approach is working. Just ask AI.


Keep that in mind as you create content for your ideal client.


Humans First. Everything Else Second.


Every discussion involving AI brings me back to this.


I’ve said many times that you can never go wrong developing meaningful content that:


  • Helps people by answering questions and providing solutions to real-world problems.
  • Delivers value and unique, relevant insights.
  • Shows what you know, who you are, and what you stand for.
  • Captures your distinctive voice and perspective.
  • Creates moments of human connection.


Besides making money, the top priority of every AI platform is to respond to queries with the most relevant, helpful information.


The perfect answer. Every time. That’s the goal.


Focus your energy on creating content that speaks to the wants, needs, challenges, concerns, aspirations, and priorities of your ideal client.


This not only helps you earn AI’s trust, but also ensures that the content people discover through LinkedIn, email, blogs, trade publications, and social media is helpful and relevant.


AI is the shiny new object, but it’s not the only way to get your content in front of people you want to do business with.


“People” is the key word in that sentence.


Learn as much as you can about how AI and search evolve. Structure your content in a way that appeals to humans and machines (you can do both).


But don’t obsess over LLMs and algorithms.


Obsess over your ideal client and how you can help them, regardless of where or how they find you. 

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