What Are Google AI Overviews and How Do They Work?

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last updated on

July 17, 2026

What are AI Overviews?

Google AI Overviews are an organic Google SERP feature providing AI-generated summaries in response to a consumer’s search query. They appear at the very top of the results page in “position zero,” and can sometimes be followed by a carousel of AI Overview Ads when the query has a commercial intent. Clicking “Show more” expands the AI Overview seamlessly into Google’s AI Mode, where searchers can ask further questions in a conversational AI interface.

Source: AI Overviews Study: Inside Google's New Search Reality

AI Overviews rollout timeline

2023: Initially called "Search Generative Experience" (SGE), these were introduced as a beta feature during Google’s I/O conference.
May 2024: Live feature in US organic search results under their current name, "AI Overviews." They integrate AI-generated answers directly into Google’s search engine results pages (SERPs), creating new opportunities for users and raising questions for brands.
January 2026: Google combined AI Overviews and AI Mode into a fluid experience, allowing a person who clicks “Show more” to transition automatically into AI Mode.
May 2026: This experience was further streamlined: searchers flow seamlessly into a chatbot conversation that remembers context as they ask questions and refine their queries.

As of July 2026, AI Overviews have been rolled out to over 200 countries in 40+ languages. They’re expected to become available in France in August 2026.

Main components of an AI Overview

AI summary: A short response created by Google’s AI. This summary is often hidden until users click to expand it.
Key points: A list of main ideas, each linked to a website. The AI adds these links after generating the text.
Cited sources: A list of linked websites related to the answer. Users can click “show all” to see more sources, usually taken from the top 12 organic search results.
Seamless AI Mode transition: A full, detailed answer users can view by clicking “Show More,” followed by a chatbox to continue asking follow-up questions with AI Mode.

How do they work?

AI Overviews may seem similar to familiar SERP elements like featured snippets, as both deliver direct answers to users' queries within the SERP and rely on content from ranking websites. However, the technology behind AI Overviews sets them apart.

Where featured snippets extract and display the exact text from a webpage that’s cited as the source, AI Overviews use generative AI to create in-depth summaries intended to fully satisfy the consumer’s question.

The text of an AI Overview is generated using Google’s knowledge of a subject based on its Gemini large language model (LLM). The answers often span multiple paragraphs and may require consumers to click to expand the full content.

Once expanded, the consumer can refine their original question by interacting with the “Ask anything” box. This will transition them immediately to Google’s AI Mode, a Gemini-powered chatbot interface, and allow them to research the topic more fully in a conversational manner. AI Mode retains context during these conversations and can refine the answers it gives accordingly.

Because the information within an LLM is restricted to its training timeframe and can’t trace knowledge back to a specific, linkable source, Google pairs their AI-generated summaries with a list of linked website sources that best match the content of the generative response. The websites cited in AI Overviews are pulled from a different data source: Google’s organic search index, the catalog of websites they’ve found, crawled, rendered, and indexed to inform traditional search rankings (the “ten blue links.”)

If a consumer interacts with the “Ask anything” box, they may see other sources of linked information, such as product carousels. Product data in Google’s AI Mode is informed in part by the Shopping Graph, which is powered by brand-provided product feeds.

Why are they important?

Google’s AI Overviews appear at the very top of the SERP, above every other feature — including Google Ads and the organic rankings. When they appear, they’re the first thing a consumer sees after they search, and they take up much of the visual space above the fold. This requires consumers to scroll farther and farther to find organic results. Additionally, because they do such a good job of answering the consumer’s need directly in the SERP on Google, there may not be a reason for a consumer to click on a website link. They could get all the information they want in the AI Overview, impacting brand metrics like traffic and CTR.

AI Overviews currently appear for 59% of searches with informational intent and for 19% of searches with commercial intent. As Google’s AI capabilities improve over time, we can assume they’ll only become more prevalent and even better at answering consumer’s needs directly on Google itself.

Google still owns 90% of the search engine market share, so it’s critical to understand the impact AI Overviews may have on your brand. Your customers will be engaging with these SERP features, and you’ll need to both measure the impact for your brand and adjust your SEO strategy to maintain your progress.

How can my brand appear in AI Overviews?

Push AI-optimized product feeds to Google

As AI Overviews blend their experience with AI Mode, there are other opportunities you must consider. Google’s AI Mode combines Gemini with its existing Shopping Graph. The Shopping Graph is powered by data pushed directly from brands and retailers via the Google Merchant Center. Submitting AI-optimized product feeds is the surest way to get your products into AI Mode conversations.

Match consumer search intent

To appear as a linked website in an AI Overview, your content doesn’t have to be the source Google’s LLM trained on. Instead, your content must best match the answer Google generates with the AI Overview to satisfy the consumer’s search intent.

Have agent-accessible, indexable site content

Your website and top content must also be found in the Google search index, because if Google doesn’t know it exists, it cannot share it as a link. It should be accessible to bots and agents, and provided to them in an easy-to-parse format like HTML or Markdown (versus JavaScript.)

Build on strong visibility foundations

Finally, because most AI Overviews cite websites that are already ranking in the top 35 organic positions, your search foundations must be strong and your content should already be ranking highly in traditional organic rankings, ideally positions 1 through 12.

Optimize for the “push” and “pull” of your data

One way to think about optimizing for AI Overviews and AI Mode is to consider both how your data is organically discovered, and how it’s proactively sent. AI-driven commerce gets product information from both feeds and website data, so your best bet is to optimize for both:

Push AI-optimized feed data to Google: Mentioned above, this is a proactive step you can take to push data directly to Google’s Shopping Graph and make sure your products are represented in carousels and links when consumers are ready to buy them.
Make it easy for bots and agents to pull from your website: By making your content as machine-readable and -accessible as possible, you make it easy for them to find, understand, and ultimately share your content with consumers. This can involve actions like improving your technical site health and finding ways to deliver content directly to bots.

Learn more about optimizing for the push and the pull in our guide, The AI Readiness Guide for Retailers: How to claim your spot on the AI shelf.