Navigating AI’s Platform Biases: Ross Simmonds on Strategic LLM Monitoring

In a recent LinkedIn post, Ross Simmonds discusses the critical need for businesses to understand and adapt to the evolving biases and preferences of Large Language Models (LLMs) across different online platforms. Simmonds, founder of Foundation Marketing, emphasizes that a one-size-fits-all approach to AI content strategy is ineffective, as various LLMs demonstrate distinct affinities for platforms like Reddit, LinkedIn, Quora, and Medium.

Simmonds highlights the importance of recognizing these platform-specific LLM behaviors to optimize content distribution and visibility. He shares insights from his team’s ongoing efforts to track these nuances, suggesting that failing to acknowledge these differences can lead to suboptimal results.

“Remember: Don’t treat every single platform the same. Some LLMs LOVE Reddit. Some LLMs LOVE LinkedIn. Some LLMs LOVE Quora. Some LLMs LOVE Medium.”

As Ross Simmonds notes, the best way to keep track of these biases and preference shifts is through consistent, vigilant monitoring. He outlines two primary methods his team employs at Foundation Marketing to achieve this.

The Imperative of Continuous LLM Monitoring

Simmonds argues that proactive and persistent tracking is essential for staying ahead of AI’s dynamic landscape. He details the first key strategy:

1) Always-On Monitoring

According to Ross Simmonds, this involves a steady state of LLM tracking and AI visibility. His team partners with clients to focus this monitoring on category-specific and branded keywords. This ensures that they are not only aware of general LLM trends but also how AI is interacting with content relevant to their specific industry and brand.

“Our team at Foundation Marketing partners with our clients with a steady state of LLM tracking and AI visibility focused on category and branded keywords.”

This approach allows for a granular understanding of how different LLMs perform and are influenced within specific niches, providing actionable intelligence for content creators and marketers.

Expanding the Scope of LLM Tracking

Beyond general platform monitoring, Simmonds emphasizes the need to track the specific LLMs themselves and their partnerships. He introduces the second key strategy:

2) LLM Partnership Tracking

Ross Simmonds points out that the AI ecosystem is rapidly expanding beyond initial players like OpenAI. His team has been actively monitoring and updating lists of LLM media partners since 2023. This tracking has now broadened considerably.

“We’ve continued to monitor and update that list each month. But it’s expanded beyond just ChatGPT & OpenAI. We now track Anthropic, Perplexity, Grok and more.”

This expanded tracking reflects the growing diversity of AI models available and their unique integration strategies with various platforms. Simmonds suggests that this comprehensive tracking is crucial for understanding the competitive landscape and identifying emerging opportunities or threats related to AI content generation and distribution.

In conclusion, Ross Simmonds’s insights underscore a fundamental shift required in digital marketing strategies. By embracing continuous monitoring and sophisticated tracking of LLM behaviors and partnerships, businesses can move beyond generic AI tactics and develop more effective, platform-aware approaches to content and marketing.