Google AI overviews sit at the top of search results, but their accuracy can be tuned.
This guide outlines six practical techniques to improve reliability, including switching to advanced reasoning models, enforcing source preferences, and structuring queries.
Unlike traditional searches, where keywords are everything, AI features work best when someone speaks naturally. Instead of using cut-and-paste phrases, it helps to describe what someone is looking for in detail, giving specific details from the start.
How to improve answers
If the answer is not satisfactory, the process does not have to stop there. One can continue the conversation by asking follow-up questions below the summary, just like with a regular chatbot, correcting details or asking for clarification.
Another way to improve results is to add trusted sources to the search, so that the system can pull information from specific locations. At the same time, there is the ability to define the exact format that the user wants the answer to have, for example, requesting that the information be presented in a table, with a graph or with a very short answer. Anyone who wishes can also hide the artificial intelligence summaries or manage source preferences through Google's search settings.
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