In my previous article, I explored how marketers can increase their chances of being cited in AI answers using LinkedIn. “Why LinkedIn Is Being Cited by AI (And What Marketers Are Getting Wrong).” If you missed that, it’s a good place to start.
Quick summary – Recent research shows that LinkedIn is increasingly appearing in answers generated by AI tools such as ChatGPT, Perplexity, and Google AI Mode.
A new study by Profound has been widely shared across the platform with a compelling headline:
“LinkedIn is the most-cited domain for professional queries in AI search.”
That finding is significant.
But with many early insights about AI search, the headline has quickly turned into a much simpler piece of advice: Post more on LinkedIn.
The problem is that the research itself and newer data from Semrush, tells a much more nuanced story.
And that nuance matters if marketers want to understand where the real opportunity lies.
If you missed these two major pieces of research, they’re an interesting read:
This article is inspired by the recent episode of the Social Media for B2B Growth Podcast hosted by Michelle J Raymond, which discusses this topic in more detail.
What the Profound Research Actually Shows
Let’s start with the headline.
The Profound research found that LinkedIn has become the most cited domain for professional queries in AI search.
There are two critical words in that statement that marketers need to pay attention to:
- Domain
- Professional queries
As I explained on the podcast, the key point is that it’s linkedin.com that’s being cited, NOT necessarily your individual post.
This distinction matters.
AI systems answering professional questions often need structured information about:
- People
- Companies
- Job roles
- Expertise
- Industries
LinkedIn happens to contain one of the largest structured datasets of professional information on the internet.
So when someone asks an AI tool questions like:
- Who are experts in B2B marketing?
- What companies specialise in X?
- What does a product marketing manager do?
LinkedIn becomes a natural source.
In other words, LinkedIn’s visibility in AI answers is not surprising.
But that leads to the next issue.
The Oversimplification: “Posting More Will Get You Cited”
Once the Profound research began circulating, a simple narrative quickly emerged:
If LinkedIn is cited more by AI tools, posting more will get you cited.
That conclusion is appealing. But it’s also a major oversimplification. Looking more closely at the Profound data shows why.
Yes, the share of citations coming from LinkedIn posts increased.
But so did citations from long-form content such as articles and newsletters.
More importantly, something else happened at the same time.
Profile citations dropped dramatically.
“Yes, LinkedIn content is appearing more often in AI answers. But it doesn’t prove that posting more frequently is the answer.” MJR
Even after the increase shown in the research, the majority of LinkedIn citations still come from ares of LinkedIn other than feed posts.
That’s an important context marketers often miss.
What the Semrush AI Visibility Study Adds
To better understand how LinkedIn content appears in AI answers, it helps to look beyond a single dataset.
Semrush recently analysed tens of thousands of LinkedIn URLs cited across AI systems, including:
- ChatGPT Search
- Google AI Mode
- Perplexity
One of the most interesting findings from their research is that viral content is rarely cited by AI systems.
That insight aligns with a key observation from the podcast episode:
“The LinkedIn feed rewards content that spreads. AI systems reward content that explains.” MJR
This is a crucial distinction.
The LinkedIn algorithm prioritises:
- Engagement
- Conversation
- Recency
- Relevance
AI retrieval systems prioritise:
- Authority
- Clarity
- Structured explanations
- Reliable sources
Those are very different optimisation goals.
This explains why a post that generates thousands of reactions may still never appear in AI search results.
Not All LinkedIn Content Is Equal
Another important insight from the research is that different LinkedIn surfaces behave differently when it comes to AI answers.
In the Semrush study, Company Pages were cited more often than individual profiles. You will all know how excited I was to read this line. 😀
This suggests that AI systems may rely more heavily on structured organisational information than on individual social posts.
Why LinkedIn Company Pages Matter More Than Many Marketers Realise
For years, LinkedIn strategy conversations have focused heavily on the feed. e.g., Company Pages are a waste of time because they don’t get as many impressions as personal posts.
I think that Company Pages are most likely cited more often as they are backed by the authority of the brand online eg websites, blogs etc
What I was most excited about was the Semrush data showing that you need the Power of Two – the balance of Company Page content and Thought Leadership content by employees, as AI systems prioritise differently.
I will continue to look into this more and report back, but I’m really encouraged that we are looking at things in the greater context of the business and well beyond vanity metrics.
How to See What Google Has Indexed From Your LinkedIn Efforts
One of the most practical ways to understand how LinkedIn content appears in search systems is to check what Google has indexed about you or your brand because many AI answer engines rely on web indexes as part of their retrieval process.
You can do this with a simple search operator.
When you run these searches, something interesting becomes clear. Structured pages often appear more consistently than individual feed posts.
When you start looking at what Google has indexed from LinkedIn posts, the amount is surprisingly small compared to the volume of content being published.
That doesn’t mean posts cannot appear in search. But it does highlight how things perform differently in AI systems and outputs.
A Word of Caution About Early AI Citation Data
Studies examining large language models have shown that citation patterns can vary significantly across systems and change rapidly as models update.
That means short-term shifts, such as a three-month change in LinkedIn citation composition, should be interpreted carefully.
The broader trend is clear – AI systems increasingly rely on authoritative knowledge ecosystems, and LinkedIn is fast becoming one of them.
In other words, the rate of change is crazy!
Final Thoughts
The rise of LinkedIn in AI answers is real. But the takeaway for marketers isn’t simply to post more frequently.
Instead, the opportunity lies in strengthening the structured representation of expertise across LinkedIn.
That means:
- Clear positioning
- Strong Profiles
- Well-optimised Company Pages
- Useful content that explains your expertise done consistently
For B2B marketers, that shift may actually be good news because explanation, authority, and expertise have always been the foundations of great marketing.
Want help optimising your LinkedIn presence to increase the chances of being cited by AI systems? Book a time here to discover how – https://calendly.com/michelle-j-raymond/book-an-intro-call-15mins
Cheers
Michelle J Raymond
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