In a recent LinkedIn post, Dan Sherrard-Smith explores how professionals can leverage the growing influence of Artificial Intelligence in client acquisition. Sherrard-Smith highlights a significant shift where AI tools, particularly large language models (LLMs), are increasingly citing LinkedIn as a primary source for identifying expertise. This presents a unique opportunity for individuals and businesses to be recommended directly to potential clients by AI systems.
Sherrard-Smith points out the critical role LinkedIn now plays in AI’s decision-making process for professional queries. He states:
“LinkedIn is now the #1 most cited source for professional queries across the major LLMs: ChatGPT, Claude, Gemini, and Perplexity.”
This data, derived from an analysis of 1.4 million AI citations by the AI search tool Profound, underscores the platform’s importance as a repository of structured professional knowledge.
The ‘Proof Test’ for AI Visibility
Sherrard-Smith introduces a concept he calls the ‘Proof Test’ to gauge an individual’s current AI visibility. He advises readers to directly query AI tools like Claude to see if they are recommended for specific services within their industry. As Dan Sherrard-Smith notes, this test is crucial:
“If your name doesn’t come up, your content isn’t structured for it.”
He shares the example of ‘Jessica,’ who began appearing in such searches after four months of consistent posting, ultimately leading to a significant client acquisition. This illustrates the tangible results of aligning one’s online presence with AI discoverability.
Optimizing Your LinkedIn Profile for AI
A key recommendation from Sherrard-Smith is to transform LinkedIn profiles from traditional CVs into effective landing pages. He argues that clarity and specificity are paramount for AI to parse and cite information accurately. According to Dan Sherrard-Smith:
“Your profile needs to read like a landing page, not a CV. State exactly who you help and the problem you solve. LLMs look for clear, definitive statements they can cite.”
Furthermore, Sherrard-Smith emphasizes the inclusion of hard evidence, such as numbers, case studies, and quantifiable outcomes, to demonstrate proven impact. This provides AI with the concrete data it needs to identify and recommend credible professionals.
Strategic Content Creation for AI Citation
Beyond the profile, Sherrard-Smith delves into content strategy, advising professionals to create posts that directly address common queries typed into AI search engines. Topics like “best CRM for small business” or “how to reduce SaaS churn” are prime examples of content that can capture AI attention.
Consistency in posting is highlighted as a vital factor. Sherrard-Smith points out that a significant majority of cited LinkedIn authors post at least weekly. He explains the reasoning:
“Consistency is how LLMs verify you’re a real authority, not a gatecrasher on a trend.”
Interestingly, Sherrard-Smith notes that virality is not the primary goal; relevance to the query is far more important to LLMs, with median cited posts often having modest engagement numbers.
The Power of Long-Form Content
Sherrard-Smith also advocates for the creation of LinkedIn articles, which he posits are more effective for AI parsing than short posts. He notes that long-form content, typically between 500 and 2,000 words, accounts for a substantial portion of LinkedIn citations within AI models. This approach allows for deeper dives into topics, providing richer data for AI to extract and reference.
The ‘Pre-Sold’ Client Advantage
Finally, Sherrard-Smith discusses the significant advantage of being recommended by an AI. Unlike clients found through traditional search, who may be comparing multiple options, an AI recommendation positions the professional as the definitive solution. This ‘pre-sold’ effect can dramatically shorten sales cycles and improve conversion rates.
He concludes by observing the rapid increase in LinkedIn’s AI citation rate and urges professionals to capitalize on this trend now, rather than treating the platform solely as a job board. By strategically optimizing profiles and content, individuals can gain a competitive edge in an increasingly AI-driven professional landscape.
📝 About This Content
This article is based on insights shared by Dan Sherrard-Smith on LinkedIn.
📅 Originally posted on April 7, 2026 | View original post on LinkedIn →