AIO

What is an AIO in online search results?

AI Overview

AIO is a feature in Google search results that uses artificial intelligence (AI) to generate a concise summary or answer to a search query. It appears at the top of the search engine results page (SERP), preceding organic search results, offering a quick overview of the topic. The feature also often includes links to sources relevant to the query to help users explore the topic more thoroughly.

Google introduced AIOs in May 2023 as an experimental feature (officially for U.S. Google users in May 2024), which ushered in a new era of SEO. Before AIOs, Google typically displayed a snippet of information directly from a webpage (or a simple list of the most helpful webpages) relative to a search query. Google aimed to enhance this experience with AIOs by delivering faster answers and curated information directly on the SERP, reducing the need to sift through multiple links for basic questions (they still link to additional sources for more comprehensive information).

While anyone using the Google search engine will encounter AIOs, marketers, SEO professionals, web developers, and tech enthusiasts will most likely use the AIO acronym. For example, marketers and SEO professionals may discuss AIOs when sharing their approaches for getting Google to display their content in AIOs for specific queries.

Example

I think AIOs are handy, but I wonder how accurate they always are. I mean, AI is great, but it’s not perfect. Do you trust those summaries completely?
That’s a good point. I think they’re good for a quick overview, but I still check the sources. I’m curious how it affects websites and SEO, though. Like, if people just rely on AIOs, will they click on the actual links less?
Probably. That’s a big concern for marketers and content creators
AIO example for the "afk means" query
AIO example for the "afk means" query

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Updated January 20, 2025

AIO definition by Slang.net

This page explains what the acronym "AIO" means. The definition, example, and related terms listed above have been written and compiled by the Slang.net team.

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