What is Google AI Overview (AIO)?

Google is reshaping its search results pages with AI Overviews. An AI-generated answer now appears in first position, above the other results. This is what people call AI Search, or GEO. How does this feature, available in most countries (but not yet in France), change the way you look for information? What does it mean for brand visibility online? Here is how it works.

AI Overviews: what are they?

AI Overviews definition

AI Overviews are AI-generated summaries that sit at the very top of Google search results. They combine the strongest information on the web to answer complex questions, and they include links if you want to go further. AI Overview (AIO) uses a RAG architecture to fuse live web sources and produce a synthesis that covers complex intents. First called Search Generative Experience (SGE), AIO launched in May 2024 and is now on by default in many countries, though not yet in France. AIO is also Google’s on-ramp into AI Mode.

Example of a simple AI Overview result:

Example of videos appearing in an AI Overview result:

Example of a product-style display in AI Overviews:

What are AI Overviews for?

Google’s main strategic goal is to meet a growing demand for informational efficiency (less time spent searching) by serving a complete, immediately visible answer, often without a click to an external site.

Google says AI stimulates new queries (longer and more complex). Through the links shown inside AI Overview answers, that would be an opportunity for brands to grow clicks to their sites. That claim is contested today. A Pew Research Center study finds, for example, that only 8% of searches with an AI Overview generate a click to a traditional website, versus 15% of searches without AIO.

Beyond the official line about efficiency, Google is first trying to keep users on its platform as AI chatbots such as ChatGPT and Perplexity rise. By serving answers directly, it reduces the chance that users move to those conversational alternatives.

Rollout and availability

The AI Overviews rollout moved very fast. In May 2025, Google announced the expansion of this feature to more than 200 countries and territories, and to more than 40 languages (it is not yet available in France). Sundar Pichai, Google’s CEO, said in July 2025 that AI Overview was showing each month to more than 2 billion people.

Which queries trigger AI Overviews?

AI Overviews are still evolving and do not trigger on every query. Studies and analysis windows still show a lot of change and instability.

• AI Overviews often appear for long, mainly informational queries. According to a seoClarity study, more than 96% of AI Overviews answer informational intents, while they appear in only 1.2% of transactional searches. That figure is likely to change.

• Queries phrased as questions are more likely to trigger AIO: “how,” “what,” “when,” “which”…

• 13.14% of all queries triggered AI Overviews in March 2025. That is up from 6.49% in January 2025. (Semrush study).

• How often AIO appears by topic keeps shifting. For example, between January and March 2025: Science (+22.27%), Health (+20.33%), People and Society (+18.83%), and Law and Government (+15.18%) were the sectors with the strongest growth in AI Overview share (Semrush study).

• The trigger rate should keep rising as the AI matures and improves.

Google is cautious about triggering AIO on YMYL (Your Money Your Life) topics. AIO is often shorter or missing on health and finance subjects, to avoid dangerous hallucinations.

AI Overviews VS AI Mode

Google has also shipped AI Mode. AI Overview and AI Mode are not the same thing. AI Overview is a one-off answer that appears in Google’s traditional search engine. AI Mode is a different interface where the whole search experience is driven by AI. AI Mode works closer to what LLMs offer, such as ChatGPT and Perplexity.

“ AI Mode, this new search mode, extends the possibilities of AI Overviews with more advanced reasoning, thinking, and multimodal capabilities, so you can get help even with your most complex questions. Ask any question and get a relevant AI answer, with the option to go further through follow-up questions and useful web links. ” - Google

The difference between Google AI Overviews and AI Mode, in one image:

AI Overviews versus the competition

Google is not alone in the generative-answer market. Other players offer similar products that change the search experience.

The main competitors include:

• Perplexity AI, which combines search and conversation in real time;

• Microsoft Copilot, built into Bing with access to GPT-4;

• OpenAI’s ChatGPT Search, launched in October 2024;

• Anthropic’s Claude.ai, with web-search capabilities;

• Brave Search, with its Leo AI system.

Each platform has notable differences. Perplexity always shows its sources in real time and supports deep conversational search. Microsoft Copilot sits inside the Microsoft 365 ecosystem. ChatGPT Search leans on contextualization and memory of the conversation.

Google’s particularity is native integration into traditional search results. Unlike standalone chatbots, AI Overviews sit alongside classic organic links. That hybrid approach aims to keep the existing ecosystem while offering a richer experience.

How do AI Overviews work?

SGE (Search Generative Experience), launched in 2023, was renamed “AI Overview” on 14 May 2024, then rolled out widely in 2025.

Use of the Gemini model

Google’s AI Overviews run on a specialized, customized version of the Gemini models. This custom model is built for multi-step reasoning, so it can handle complex queries, and it works together with Google’s classic search systems. Thanks to its multimodal capabilities, Gemini can analyze text, images (via Google Lens), and voice queries, which makes the search experience more advanced and more intuitive.

RAG mechanism (Retrieval-Augmented Generation)

The system uses a RAG architecture to ground generative answers in real, recent sources.

RAG combines two complementary approaches: retrieving information from Google’s index, and generating text with the language model. That method produces answers that are more accurate and more up to date.

The process runs in several steps:

• The query is turned into several simultaneous sub-queries (query fan-out);

• Google searches its index for relevant, recent content;

• The texts are converted into semantic vectors to measure their contextual similarity;

• Relevant excerpts are merged with Gemini’s internal knowledge;

• The model generates a coherent summary based on the retrieved sources.

The main advantage of this architecture is that it reduces hallucinations by leaning on verifiable web content. RAG therefore combines the creative power of AI with the reliability of real sources.

For SEO professionals, understanding RAG means changing scale: the unit of measurement is no longer the whole page, but the chunk (the information fragment). During retrieval, Google’s algorithm splits your content into semantic segments and turns them into vectors.

To maximize your chances of being selected at this crucial step, you need to work two levers:

• Optimized chunking: structure your answers atomically (one idea per paragraph) so the AI can extract a complete piece of information without surrounding “noise”;

• Entity salience: make sure the relationship between your brand and the topic is explicit and semantically unambiguous;

• Factual-evidence density: include numbers and verifiable data, because models give a higher reliability score to fragments that contain precise named entities;

• Formatting for extraction: use HTML tables and ordered lists, which make it easier for the model to vectorize and fuse the data.

By optimizing the structure of your fragments, you are not only making the page easier for people to read. You are helping Google’s RAG mechanism treat your content as the cleanest source of truth for building its generative answer.

Grounded Response: informative and transparent

AI Overviews are designed to be “grounded”: instead of inventing, the AI relies exclusively on real web results. That helps keep information accurate, up to date, and verifiable.

This architecture rests on four pillars:

• The AI Summary: the synthesis text that answers your question directly.

• Multimodal content: the addition of relevant images or videos to illustrate the answer.

• Citations: clickable links to the sources used (essential for transparency).

• Grounding Supports act as digital “footnotes”: this system ties each AI claim to a precise piece of evidence on a website, so every fact has a concrete source.

Monetization

Monetization is a core strategic axis. Google designed the SERPs so ads can appear not only around the AIO (above and below), but also inside the AI Overview itself (Ads in AI Overviews). The same ad cannot appear both inside and around an AI Overview.

Text Ads and Shopping Ads have been eligible since May 2025 to appear inside AIO in the United States, and they are expanding to other English-speaking countries. Shopping ads perform especially well because they take the user from AI advice to an immediate purchase. Only campaigns using Broad Match targeting can be eligible to appear in AI answers.

Faced with falling organic traffic (“zero-click”), advertising inside AIO lets Google protect its revenue. For the advertiser, it is a chance to be present at the exact moment the AI recommends a solution.

AIO: what impact for brands?

Impact of AI Overviews on SEO and visibility

On mobile, AI Overviews take up to 48% of the screen, which sharply reduces the visibility of organic results. To date, Google does not publish transparent data on the impact on website traffic and CTR, even though it sounds very reassuring.

Beyond those drops, AI Overviews force a deeper reread of the value of organic traffic. If raw visit volume is often threatened by the “zero-click” phenomenon, the quality of engagement enters a new strategic dimension. It is no longer only about capturing attention. It is about validating an intent.

In this ecosystem, a citation by the AI becomes the new seal of trust, and it can shorten the buyer’s decision cycle dramatically.

Here are a few useful figures from several studies:

• -35% of clicks if you are not positioned in AIO.

• The best ranking inside an AI Overview generates a CTR comparable to a traditional organic link in Position 6.

• Sites in positions 6 or 7 can sometimes gain traffic if they are cited in AI Overview, because they appear as a trusted source.

Algorithmic Brand Lift

While AIO now captures almost all simple informational queries (definitions, isolated facts, dates), it acts as a powerful trust filter for consideration queries. When a user asks a complex question, for example “Which accounting software should I choose for an SCI with several partners?”, and your brand is cited as a source of the generated answer, the click that follows has a multiplied commercial value.

This is where algorithmic Brand Lift comes in:

• Even without an immediate click, the repeated association of your brand with expert answers from the AI strengthens your perceived authority;

• The user remembers your entity as a reference validated by Google, which makes conversion easier in a later session;

• The visitor who lands on your site is no longer a curious person in discovery mode, but a qualified prospect whose trust has already been pre-validated by the algorithm.

In 2025, visibility inside AIO becomes a digital credibility label that radically changes the traditional conversion funnel.

Impact by site type and sector

The impact of AI Overviews varies a lot by industry and by the type of content you publish.

The most affected sectors are:

• News sites and media that lose clicks on event summaries;

• Recipe sites whose instructions are summarized directly in AIO;

• Comparison sites and buying guides whose tables are reused;

• Health and wellness sites, which are heavily represented in citations;

• Educational sites and tutorials whose teaching content is synthesized.

Ecommerce sites see a mixed impact. Informational pre-purchase queries show AI Overviews, but transactional queries stay largely preserved. Product pages rarely appear in citations, but guides and comparisons can be reused.

B2B and SaaS sites see a different shift. Their technical, long-form content is summarized less often. Very specialized queries trigger fewer AI Overviews, which preserves some of their organic traffic.

The rise of zero click

The “zero-click” era is accelerating with generative answers that give the user the answer directly.

• AI Overviews provide a complete answer at the top of the SERP, which reduces the desire or the need to click through to an external site.

• Zero click is not new. It was already present in SERPs, especially with rich results and the position 0 summary.

AI Overviews mark a psychological break for publishers: we are moving from a search engine to an answer engine. The phenomenon already existed with Featured Snippets, but AIO industrializes it by offering syntheses so complete that the usefulness of the click disappears for a growing share of queries.

For brands, this is no longer only a traffic loss. It is a mutation of visibility. Success is no longer measured only by session volume in Google Analytics, but by your ability to become the raw material of the AI. Existing inside the generated answer is what keeps you top of mind even when the user never leaves Google’s ecosystem.

How to benefit from AI Overviews?

Priority objective: brands should aim to appear as a citation in AIO. When possible, capture clicks on the cited links, while maximizing brand value even without a click.

• High-quality, exhaustive content: Google favors pages that fully answer the query, with context and detail.

• The content should match the AIO text

• Information should be simple and easy to read

• The information should arrive quickly on the page.

• Put a summary at the top of the page: an answer to the search intent, short sentences and a concise paragraph that is easy to retrieve.

• Optimize for user intent: “how,” “comparison,” “best,” and “difference between” questions are heavily targeted.

• Use structured data (Schema.org): FAQ, Article, HowTo, Breadcrumb, to help Google understand and extract the information.

• Meet E-E-A-T criteria (Experience, Expertise, Authoritativeness, Trustworthiness): priority goes to recognized sources.

• Rank well organically: 52% of sources in AI Overviews come from the top 10.

• Update content regularly: Google values recency and freshness of information.

• Include lists, tables, and clear headings.

• Optimization is similar to LLMs and classic SEO (Gemini behind it, plus the Google index).

Optimization for AI Overviews should not be treated as a simple technical checklist. It is a deeper redesign of your semantic authority strategy. In 2026, success no longer depends only on your ability to please a user, but on your ability to reduce entropy for Gemini.

FAQ

How do I know if my site appears in AI Overviews?

Use tools such as SEMrush or seoClarity to track your appearances. You can also run manual searches on your priority keywords from the United States with a VPN.

Can I refuse to appear in AI Overviews?

Google does not currently offer a way to exclude your content from AI Overviews. Classic robots.txt directives do not apply to this feature. Only a complete indexing block would stop your content from being used.

Will AI Overviews replace organic results?

No. Google is keeping AI Overviews and organic results side by side. Traditional links remain visible under the AI-generated block. This hybrid approach looks durable in the medium term.

What is the difference between AI Overviews and Featured Snippets?

Featured Snippets extract a passage from a single web page. AI Overviews synthesize information from several sources and generate original text. The Featured Snippet remains a verbatim excerpt. The AI Overview is an AI creation.

What is the difference between AI Overviews and AI Mode?

Google’s AI Mode is a true conversational interface, like ChatGPT or most LLMs. You have to turn it on and go look for it.

Do AI Overviews work in French?

No. AI Overviews were not yet available in France at the publication date of this article. The rollout is limited to certain countries, mainly English-speaking ones. The European Digital Markets Act may explain the delay.