How LinkedIn Articles Can Boost Visibility with AI Search, According to Dan Sherrard-Smith

In a recent LinkedIn post, Dan Sherrard-Smith highlights a strategic opportunity for professionals to increase their visibility by leveraging LinkedIn articles to be recommended by AI search tools like ChatGPT. Sherrard-Smith uses a personal anecdote about searching for a knee surgeon to illustrate his point, explaining how ChatGPT’s recommendation was influenced by the surgeon’s active presence and content on LinkedIn.

The AI Recommendation Engine and LinkedIn’s Role

Sherrard-Smith details how, when seeking a specialist for a torn meniscus, ChatGPT provided four surgeon recommendations. However, it could only strongly recommend one due to a lack of sufficient publicly available information for the others. This surgeon, according to Sherrard-Smith’s post, was actively posting on LinkedIn and demonstrating expertise.

“The one it recommended was… …active on LinkedIn. He was posting consistently, and clearly demonstrating his expertise. And one big reason he was top of the surgeons charts was his LinkedIn articles.”

To underscore the significance of platforms like LinkedIn for AI, Sherrard-Smith references an analysis by Semrush. This analysis reportedly examined 89,000 LinkedIn URLs cited by AI tools in March 2026. According to the findings he shares, LinkedIn emerges as the second most cited website by these AI tools, surpassing Wikipedia, YouTube, and major news publishers. Furthermore, Sherrard-Smith points out that articles constitute a substantial portion, between 50% and 66%, of the content ChatGPT extracts from LinkedIn.

Why This Presents a Unique Opportunity

Dan Sherrard-Smith outlines three key reasons why this dynamic creates a significant opportunity for content creators and businesses:

1. No Need for Virality: Sherrard-Smith argues that an article doesn’t need to go viral to be effective for AI recommendations. ChatGPT prioritizes specificity and answers to particular questions over broad popularity. He notes that the typical cited LinkedIn article has a modest 15 to 25 reactions.
2. Audience Size is Less Critical: Contrary to popular belief, Sherrard-Smith suggests that a large following is not a prerequisite for being cited. He states that authors with fewer than 500 followers are cited just as frequently as those with much larger audiences.
3. Competitors Are Not Yet Capitalizing: This is presented as a crucial early-mover advantage. Sherrard-Smith implies that the majority of competitors have not yet recognized or implemented this strategy, leaving a window of opportunity open.

Actionable Advice for Leveraging AI Visibility

Based on his analysis, Sherrard-Smith provides a clear, actionable recommendation for his audience. He urges them to take advantage of this opportunity by writing just one article this month.

Specific Recommendations for Article Creation

Sherrard-Smith elaborates on the specifics of crafting an effective article for AI discovery:

• Length: Aim for an article between 500 and 2,000 words.
• Headline Strategy: Use the exact question a potential buyer would type into ChatGPT about your service as the headline.
• Content Focus: Directly answer the posed question within the first three lines of the article.

As Dan Sherrard-Smith concludes, “As with every new opportunity, there is an early mover advantage. So take advantage ;)” This suggests that acting decisively now can yield significant benefits before the strategy becomes commonplace.