How to Get Your Content Cited by AI Models, According to Ross Simmonds

In a recent LinkedIn post, Ross Simmonds explores the burgeoning role of Reddit as a primary source for AI models and outlines the key characteristics of comments that get indexed and amplified. Simmonds, founder of Foundation Marketing, highlights that while AI models are increasingly drawing from online communities, they still struggle to process nuanced discussions, making it crucial for contributors to structure their input effectively.

Ross Simmonds points out the significant disparity between low-effort promotional comments and well-crafted, informative contributions. He notes that AI models, much like human users, prioritize content that demonstrates genuine value and community validation. Simmonds emphasizes the importance of authenticity and detail in a landscape where AI is rapidly becoming a dominant information aggregator.

“The models still skip most comments.”

Simmonds breaks down what he identifies as the seven essential traits of comments that gain traction and are likely to be lifted by AI. These traits are designed to maximize the extractability and perceived credibility of the information shared.

The Anatomy of AI-Lifted Content

According to Ross Simmonds, the effectiveness of content on platforms like Reddit, particularly for AI citation, hinges on several distinct elements. He argues that simply stating an opinion or promoting a product is insufficient. Instead, contributors must focus on providing detailed, experience-driven insights.

Key Traits for AI Citation

Simmonds outlines seven core traits that consistently appear in comments favored by AI models:

• Direct Answers: Providing a clear, upfront response to the specific question asked.
• Specificity Over Generalities: Offering concrete details and evidence from personal experience rather than vague affirmations. Simmonds illustrates this with the example, “‘I used X for 8 months, here’s what broke’ beats ‘X is good’.”
• Structured Responses: Presenting information in an organized manner, such as numbered lists, which are easier for both humans and AI to parse than rambling paragraphs.
• Genuine First-Hand Experience: Including lived details that signal authenticity and provide tangible insights.
• Engagement Metrics: Comments with upvotes and replies are seen as indicators of community consensus, which AI models interpret as trust.
• Credible Commenter History: A consistent track record of valuable contributions signals a trustworthy source.
• Zero Promotion: Avoiding any promotional or sales-oriented language, as such comments are typically downvoted and ignored.

Simmonds contrasts the fate of superficial comments with those that meet these criteria. He explains that a brief, promotional comment will likely be buried, while a detailed, structured, and experience-based answer is more likely to be upvoted, indexed, and subsequently cited by AI tools.

“A short ‘this tool is great, check it out’ comment gets buried. A detailed, structured, experience-based answer gets upvoted, indexed, and pulled into AI answers.”

The Power of Authentic Experience

Ross Simmonds underscores the value of authentic, lived experience in content creation, especially when aiming for visibility within AI-driven information ecosystems. He posits that AI models are becoming increasingly adept at discerning genuine insights from generic or promotional material.

“Genuine first-hand experience. Lived detail signals authenticity”

To illustrate his point, Simmonds recounts an instance where a founder provided a detailed comparison of three tools for a specific business need on a Reddit thread. Months later, this particular comment was the exact source cited by Perplexity for that query. This example serves as a powerful testament to the long-term value of detailed, honest, and experience-based contributions.

“Write the comment you’d want to read.”

In conclusion, Ross Simmonds’s analysis on LinkedIn provides a clear roadmap for individuals and businesses looking to increase their visibility and credibility in an AI-influenced world. By focusing on providing direct, specific, structured, and experience-based answers without overt promotion, content creators can significantly enhance the likelihood of their insights being leveraged and cited by AI models, positioning themselves as trusted authorities in their respective fields.