One thing we enjoy covering on this podcast is up and coming tactics and terminology you need to know as a healthcare marketer. Though you may or may not choose to prioritize new tactics, knowing about them and not being surprised during a hallway conversation is key.
Today, we will cover the basics around SEO for generative AI platforms, specifically discussing:
Essentially, how do you get your organization to show up in AI results, alongside relevant studies and data?
2. Acronyms you need to know
○ LLMO - Large Language Model Optimization
○ GEO - Generative Engine Optimization
○ GAIO - Generative AI Optimization
○ AIO - AI Optimization
3. What is LLM, why do you need to know about it, and how does it work?
When it comes to training AI models, there are mathematical models that help understand natural language, LLMs. Understanding even a little about how these LLMs train for relevance can help you optimize for AI.
4. Four cornerstones to thinking about SEO for AI
○ Be robust in your research and keyword identification to understand what real people are asking
○ Get official - include citations, relevant sources, and statistics
○ Make sure you’re technically sound; put keywords in your schema and code to make sure AI platforms can understand what your website is about
○ Traditional marketing and PR helps build your authority and trust - continue these efforts!
As promised, here are the resources we mentioned on the podcast:
● Princeton University study on Generative Engine Optimization: https://arxiv.org/pdf/2311.09735
● Search Engine Land’s breakdown of SEO for AI (and explanation of how LLMs work): LLM optimization: Can you influence generative AI outputs? https://searchengineland.com/large-language-model-optimization-generative-ai-outputs-433148
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