{"id":1460,"date":"2025-08-11T11:02:35","date_gmt":"2025-08-11T11:02:35","guid":{"rendered":"https:\/\/pionaiers.nl\/how-google-ai-overviews-work-and-what-it-means-for-your-seo\/"},"modified":"2025-11-24T09:48:55","modified_gmt":"2025-11-24T09:48:55","slug":"how-google-ai-overviews-work-and-what-it-means-for-your-seo","status":"publish","type":"post","link":"https:\/\/pionaiers.nl\/en\/how-google-ai-overviews-work-and-what-it-means-for-your-seo\/","title":{"rendered":"How Google AI Overviews Work (and What it Means for your SEO)"},"content":{"rendered":"\n

In recent months, the SEO world has been talking about nothing else: AI Overviews. What does this new Google search result mean for your visibility, and how can you adapt to it? Thanks to documents from the US antitrust case against Google, we now have solid insights for the first time. Not from outsiders, but from Google’s own engineers. In this blog, you’ll learn what these documents and the analysis by Massimiliano Geraci (Notebook Agency)<\/a> tell us about how Google AI Overviews work and most importantly: what you as an entrepreneur and marketer can do with it. <\/p>\n\n

What Exactly is an AI Overview?<\/h2>\n\n

An AI Overview is the summary you see at the top of Google Search when you ask a question. While it may seem like Google is searching the web in real-time, that’s not the case. In reality, Google uses its own index and has its special AI model MAGIT create an answer from it. This principle is very similar to what we see with AI tools like ChatGPT or Perplexity. There too, it’s not your live website that counts, but what the models have previously stored. In our blog about Generative Engine Optimization (GEO)<\/a>, we explain why this is crucial for your brand. <\/p>\n\n

This model is not the same as the well-known Gemini. MAGIT has been trained on billions of search queries and question-answer combinations. It is therefore optimized to provide short, clear answers. <\/p>\n\n

How Do Google AI Overviews Work Technically?<\/h2>\n\n

The operation of a Google AI Overview consists of two steps: retrieval and generation.<\/p>\n\n

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  1. Retrieval<\/strong> \u2013 Google examines its own index and selects suitable pieces of text. <\/li>\n\n\n\n
  2. Generation<\/strong> \u2013 MAGIT writes a fluid summary from it.<\/li>\n<\/ol>\n\n

    Only content that is technically accessible and reliable has a chance of appearing. Think of crawlability (is your text in HTML or hidden in scripts?), speed and stability (slow or jumping pages are eliminated), and traceability (author, date, and source are visible). <\/p>\n\n

    What is MAGIT and why Does Google Use this Model?<\/h2>\n\n

    MAGIT is a specially trained AI model that Google uses for AI Overviews. It’s not the same as Gemini but is specifically optimized for search experiences. <\/p>\n\n

    MAGIT has been trained on billions of search queries and question-answer combinations. As a result, the model is extremely good at providing short, clear answers that match what users expect in search results. <\/p>\n\n

    What Does Query Fan-out Mean for your SEO?<\/h2>\n\n

    An important insight from the antitrust documents is query fan-out. This is where Google splits a search query into multiple sub-questions. For example, if you search for “best hotels San Diego”<\/em>, sub-questions are automatically generated such as: <\/p>\n\n