Before writing this issue, I opened ChatGPT in a private window and asked who I am. It answered in seconds and cited two sources: our website and my LinkedIn profile. Then it added a caution: everything it found came from me. That's the opportunity this issue is about.

Last issue ended on a hard truth: Reddit is the AI source small businesses can't easily use. This issue is the good news. LinkedIn is the other heavily cited source, and it is the one place where a business is expected to show up as itself.

In one 2026 study of 325,000 prompts, LinkedIn was the second most cited domain in AI answers, behind only Reddit. It appeared in about 11% of AI responses. Here is what that means for a South Florida service business, and what to do about it this week.

How often does AI cite LinkedIn?

Short answer: often, and more each month. Three 2026 studies agree on the big picture: LinkedIn is one of the top sources AI engines pull from, and its share is growing.

FindingNumberSource
Rank among all cited domains#2, behind RedditSemrush (325,000 prompts, Jan–Feb 2026)
AI responses citing LinkedIn, ChatGPT Search14.3%Semrush
AI responses citing LinkedIn, Google AI Mode13.5%Semrush
AI responses citing LinkedIn, Perplexity5.3%Semrush
Rank among social and video channels#3, behind Reddit and YouTubeOtterly (Jan–Jun 2026)
Growth in monthly LinkedIn AI citations, five months+49.9%Otterly
Rank in B2B prompts#2, behind YouTubeMeltwater (9.5M citations, May 2026)

The "#2" and "#3" are not a conflict. Semrush ranks domains. Otterly ranks social and video channels, where YouTube sits between Reddit and LinkedIn.

One caution: all three studies report correlations in what AI already cited. They show what gets cited, not a guaranteed way to get cited. They also measured business and professional questions. If your customers are homeowners looking for a local contractor, your Google Business Profile and reviews likely matter more, and LinkedIn is a supporting channel.

A third study agrees on the shape. Meltwater, working with LinkedIn, tracked 9.5 million AI citations across six platforms in May 2026. It ranks LinkedIn second in its B2B prompts, behind YouTube. Individual members wrote 75% of the LinkedIn citations and Company Pages 25%. Read it with care: Meltwater sells the tool it used, ran the study with LinkedIn, and does not detail how it classified citations.

What does AI actually cite on LinkedIn?

AI does not mostly cite profiles or company pages. It cites articles and posts that teach something, written by a named person.

  • Articles and posts both count. LinkedIn articles were 50–66% of cited LinkedIn content in Semrush's data, and 72.2% of citations in Otterly's. The most-cited articles ran 500–2,000 words. Meltwater disagrees on format: text posts were 72% of its cited content and articles 12%. So write both.
  • Short posts count too. The most-cited feed posts ran 50–299 words.
  • Teaching beats promoting. 54–64% of cited posts shared knowledge or practical advice. About 95% were original, not reshares.
  • People beat logos. Named individuals wrote 91.7% of cited content in Otterly's data. The exception is Perplexity, where Company Pages made up 59% of LinkedIn citations (Semrush).
  • Consistency beats fame. About 75% of cited post authors had posted more than five times in four weeks. Accounts with under 500 followers were cited as often as larger ones.
  • Engagement is not the signal. The median cited post had 15–25 reactions and at most one comment. Otterly found near-zero correlation between likes or comments and citations.

Profiles were only 1.7% of citations in Otterly's data. Fix yours, but do not stop there.

How should a South Florida small business use LinkedIn for AI visibility?

The studies describe what gets cited. The steps below are our reading of them, not a guarantee.

  1. Put a person in front. The owner or lead expert posts under their own name. Company Page content matters most on Perplexity, so keep the page complete and active, but let the person carry the teaching.
  2. Write one real article a month. Aim for 500–2,000 words that answer a question your customers actually ask: what it costs, how it works, what to check before hiring.
  3. Post short, useful notes weekly. Fifty to 300 words, one idea each. Aim for more than five posts in any four-week stretch.
  4. Teach, don't pitch. Share the answer, the number, the checklist. Leave the sales language for your website. Format it for skimming. In Meltwater's data, the most-cited articles all used bullets or numbered lists, 92% had clear headings, 75% named companies or tools, and 67% gave hard numbers.
  5. Match your website. Use the same business name, services, city and bilingual wording on LinkedIn as on your site, so AI sees one consistent entity.
  6. Skip the engagement tricks. Pods and viral hooks are not what the data rewards.

Unlike Reddit, nothing here risks a ban. LinkedIn expects a business to speak as itself.

Sources