Welcome to episode 092 of the Technical Writing Success podcast from the Curt Robbins & Associates Technical Writing Agency.
This podcast is targeted at IT professionals, technical writers, and documentation specialists. Subscribe today to never miss a single daily episode!
Today’s episode unpacks an article by Eric Enge entitled "ChatGPT Search vs. Google: A Deep Dive Analysis of 62 Queries" that was published on December 23 on Search Engine Land (link below).
Hosts Daphne and Fred share their spirited analysis of this article by Enge. They explore how Google and ChatGPT stack up to each other in terms of search. While Google typically wins for local and commercial searches (such as looking for a local Mexican restaurant or a dry cleaner), ChatGPT excelled at content gap analysis using natural language processing.
The hosts note that both search engines often misinterpret ambiguous queries and that users of either platform will gain the best results with precise, well thought out queries. They also explained how both search engines suffer from GIGO (Garbage In, Garbage Out), meaning that their results are only as good as the information and data they hold.
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>> Read the original Search Engine Land article: https://tinyurl.com/3umwzjmk
>> Subscribe to the AI for Technical Writers podcast: https://tinyurl.com/567rf8xd
>> Read the Curt Robbins article "The Eight Pillars of Technical Writing": https://tinyurl.com/vm35fnsm.
