Google Generative Search Results Simply explained

What is Google AI Search and how does Generative Search work?

Google Generative Search is transforming traditional search by not just listing relevant websites, but delivering AI-generated answers directly. With the introduction of AI Overviews (formerly known as Search Generative Experience or SGE), Google is changing how search results are displayed. In a regular Google search, users typically get a list of websites ranked by relevance based on Google’s algorithm. To find the right answer, they still have to click through the pages, which can be time-consuming. On top of that, the first results are often paid ads.

With Google AI Search, also known as AIO, the way information is shown is evolving. Instead of just a list of links, users now receive a clear and detailed AI-generated answer to their question. These results appear as compact summaries called snapshots. At the same time, helpful links are still visible so users can explore the topic further if they wish. Google AI Overviews was first introduced at the Google I/O conference in 2023 and marks an important step toward a faster and more user-friendly search experience.

What are the goals of Generative Search?

The main goal of Google AI Overviews is to provide users with a faster and higher-quality search experience. Instead of having to browse through multiple websites, Generative Search delivers precise and context-aware answers in the form of AI-generated summaries. This is especially helpful for complex questions or buying decisions, as it provides structured information instantly and saves time and effort.

Google emphasizes the importance of using artificial intelligence in a responsible way, both in search and in the training of its AI features. The underlying AI models are carefully trained to provide accurate and relevant information while strictly following ethical standards and data privacy guidelines.

What’s the difference between Google AI Overviews and Google Gemini

Isn’t Google already using generative AI in search through Google Gemini? The answer is no. While Google AI Overviews does use the Gemini language model to generate its results, it is specifically designed to deliver AI-generated summaries directly within search results.

Google Gemini is a broad, multimodal AI model developed for a wide range of tasks. Similar to ChatGPT, it functions as an interactive chatbot that responds in full sentences and is primarily used for conversation. It works more like asking a voice assistant such as Amazon Alexa a question. Gemini focuses on natural language interaction. Google AI Overviews, on the other hand, is designed to deliver clear and relevant answers drawn from reliable sources. The goal is to give users quick and factual information without adding unnecessary personality or overly human-like responses.

How does Google AI Overview actually work?

Let’s walk you through a simple example to show what generative search looks like in action.

Imagine you want to know whether it's better to go on vacation to Zermatt or Lenzerheide with children. Until now, you would probably have to do several searches at this point. Generative Search Results offer you an overview of the most important contents of both places for a vacation with children. A brief description tells you whether both the town and the beaches are child-friendly. You'll also find further links and suggestions such as places of interest in both places that are particularly popular with parents and activities you can do there.

Another cool feature is that you can make your own adjustments to the generative search results. You can do this by asking Google more detailed questions about the results. Some of these are already predefined, so all you have to do is click on them. Below all these compact answers, you will find the suggestions for the websites as you know them.

The three elements of Generative Search Results

​​Google’s Generative Search is built on three key components that help improve and personalize the search experience:

AI Snapshot

The snapshots displayed in the result consist of information generated by Google in text, images and videos from various relevant sources on the Internet. You are also shown a link carousel with buttons containing the source information. 

Their aim is to answer your question as quickly as possible, and in a direct context. How AI was programmed by the company at this point is, of course, ultimately kept under wraps. However, it can be assumed that this works through Retrieval Augmented Generation (RAG). The model is based on various language models in combination with external data sources).

Conversational Mode

Conversational mode is deliberately not a chatbot, but nevertheless consists of a kind of conversation that can be held with the system. It allows the user to ask questions without having to explain the previous context again. AI is able to remember the previous questions and bring their intention to a positive conclusion. 

Vertical Experience

This point consists of an additional presentation of topic-relevant information and shopping offers that are presented to users. In addition, the offers can probably even be compared in future. 

This is made possible by Google's Shopping Graph. Google not only includes product pages in the background search, as was previously the case, but also takes into account reviews from shoppers. When you consider that customer reviews are an essential part of purchasing decisions nowadays, the vertical experience brings a significant advantage for buyers.

Generative search on the rise: Alternatives to Google AIO

Google AIO isn’t the only player in the game. More and more search engines are popping up that use generative AI. One example is Perplexity, which has been offering AI-generated summaries since it launched in August 2022 and has grown rapidly since then. OpenAI’s ChatGPT also stepped things up with its SearchGPT feature, launched in summer 2024, turning search into a more conversational and context-aware experience. Then there’s Microsoft’s new Bing, now officially called Copilot, which blends traditional search results with AI-powered answers thanks to its partnership with OpenAI. All of this shows one thing: the future of online search is heading toward smarter, more personalized information.

What impact does this development have on SEO?

It is to be expected that the introduction of Generative Search Results in Google Search will have a significant impact on SEO. The Google ranking criteria will become more complex and Google's requirements for web content will increase. Observations show, for example, that the AI snapshots do not necessarily have to match the top search results of the ranking. Features like Vertical Experience also make things like customer reviews and local search even more important.

But it’s not all bad news. This shift also brings new opportunities. High-quality and in-depth content still matters a lot because Google AI Search favors clear and well-structured information. Businesses should focus more on answering complex questions to stay visible in this new format. SEO strategies need to evolve from just Search Engine Optimization to what some are calling Generative Engine Optimization. If you act early and take the right steps, you can stay competitive not only in organic search but also in Google Ads. Working with a digital agency like ours can make it way easier to find the right strategy for this new era of search.

Conclusion: iundf Dewave helps you stay ahead in the search rankings

Google Generative Search or AIO introduces a new way of displaying search results, providing users with more precise and context-aware information through AI-powered answers. This shift is reshaping the SEO landscape and presents both new challenges and major opportunities for businesses. Those who adopt the right strategies early on can gain lasting competitive advantages.

Are you ready for the future of search? We at iundf Dewave supports you with tailored GEO strategies for generative content. Whether it’s a GEO audit, on-page and off-page optimization, or technical GEO, we use the latest technologies and up-to-date insights to make sure your online presence is fully prepared for the new search environment.