If you're ever done a web search you know that getting relevant and appropriate answers on the web can take a lot of effort. Oftentimes, it also requires multiple attempts to get relevant results. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the changing landscape of AI and search.

How AI is changing search

Already, AI is proving to be a massive enhancement and augmentation to the everyday work and tasks of businesses, enterprises, and organizations of all types. Large Language Models (LLMs) are changing the way people do research, and this includes searching the web. No longer are people accepting search results that may not be relevant, results that require hours of additional research to get to an answer, and the inability to dig deeper and ask follow up questions.

OpenAI sees the opportunity that LLM search is providing. Recently, they released SearchGPT prototype. SearchGPT will quickly and directly respond to user questions and provide up-to-date information from the web linking to relevant sources. This is changing the game for search. People will be able to ask follow-up questions, just like they would if interacting with a person. Additionally, LLMs allow for shared context building with each query. Ron and Kathleen discuss how LLM search is going to change the search game!

How will AI affect internet search results?

As with any new technology, not everyone will be quick to adopt LLMs as their preferred form on search. It's ingrained in us to open up a web brower and type our question into a search engine right now. But, like with anything, habits take time. Ron and Kathleen discuss how people are already defaulting their homepage to their LLM of choice. What does this do in regards to SEO and the companies that have spent a lot of money, time, and resources to optimize for a first page listing on Google? What does this do to choice if users will now be provided with a single source answer from an LLM? Tune in to hear Kathleen and Ron discuss this in greater detail.

Show Notes:

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