In a recent episode of the Real AI Use Cases podcast, the hosts discussed how AI can generate large language model (LLM)-optimized descriptions for websites and show notes, along with schema code that helps LLMs read transcripts more easily. This technique aims to make content more discoverable in AI-driven search engines like ChatGPT, Perplexity, and Google Gemini.
"I'm using it to generate large language model optimized descriptions to put on the website for this podcast and to put in the show notes and then schema code which is a code that goes in the background to make it easier for large language models to read the transcripts of this so that eventually when everybody's going to ChatGPT or Perplexity or Google Gemini for their answers instead of doing like a regular search the snippets hopefully from this show will show up."
The podcast, hosted by Elizabeth Gearhart, Ph.D., and Richard Gearhart, Esq., explores real-world AI applications for business optimization and problem-solving. Elizabeth is a marketing executive and AI strategy speaker with a background in analytical chemistry and patent law, while Richard is a life sciences IP attorney and angel investor. Together, they provide insights into how businesses can leverage AI today.